mirror of
https://github.com/tencentmusic/supersonic.git
synced 2025-12-10 11:07:06 +00:00
[improvement][headless]Clean code logic of headless translator.
This commit is contained in:
@@ -7,14 +7,11 @@ import com.tencent.supersonic.headless.api.pojo.enums.SchemaType;
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import lombok.AllArgsConstructor;
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import lombok.Data;
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import lombok.NoArgsConstructor;
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import org.apache.commons.lang3.StringUtils;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Set;
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import static com.tencent.supersonic.common.pojo.Constants.UNDERLINE;
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@Data
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@AllArgsConstructor
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@NoArgsConstructor
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@@ -32,13 +29,6 @@ public class SemanticSchemaResp {
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private DatabaseResp databaseResp;
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private QueryType queryType;
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public String getSchemaKey() {
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if (dataSetId == null) {
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return String.format("%s_%s", schemaType, StringUtils.join(modelIds, UNDERLINE));
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}
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return String.format("%s_%s", schemaType, dataSetId);
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}
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public MetricSchemaResp getMetric(String bizName) {
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return metrics.stream().filter(metric -> bizName.equalsIgnoreCase(metric.getBizName()))
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.findFirst().orElse(null);
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@@ -21,12 +21,6 @@ public abstract class DetailSemanticQuery extends RuleSemanticQuery {
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super();
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}
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@Override
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public List<SchemaElementMatch> match(List<SchemaElementMatch> candidateElementMatches,
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ChatQueryContext queryCtx) {
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return super.match(candidateElementMatches, queryCtx);
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}
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@Override
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public void fillParseInfo(ChatQueryContext chatQueryContext, Long dataSetId) {
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super.fillParseInfo(chatQueryContext, dataSetId);
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@@ -25,12 +25,6 @@ public abstract class MetricSemanticQuery extends RuleSemanticQuery {
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queryMatcher.addOption(METRIC, REQUIRED, AT_LEAST, 1);
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}
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@Override
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public List<SchemaElementMatch> match(List<SchemaElementMatch> candidateElementMatches,
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ChatQueryContext queryCtx) {
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return super.match(candidateElementMatches, queryCtx);
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}
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@Override
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public void fillParseInfo(ChatQueryContext chatQueryContext, Long dataSetId) {
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super.fillParseInfo(chatQueryContext, dataSetId);
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@@ -4,9 +4,9 @@ import com.tencent.supersonic.common.calcite.Configuration;
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import com.tencent.supersonic.common.jsqlparser.SqlSelectHelper;
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import com.tencent.supersonic.headless.core.pojo.Materialization;
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import com.tencent.supersonic.headless.core.translator.calcite.s2sql.TimeRange;
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import com.tencent.supersonic.headless.core.translator.calcite.schema.DataSourceTable;
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import com.tencent.supersonic.headless.core.translator.calcite.schema.DataSourceTable.Builder;
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import com.tencent.supersonic.headless.core.translator.calcite.schema.SchemaBuilder;
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import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteTable;
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import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteTable.Builder;
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import com.tencent.supersonic.headless.core.translator.calcite.sql.SchemaBuilder;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.calcite.adapter.enumerable.EnumerableRules;
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import org.apache.calcite.config.CalciteConnectionConfigImpl;
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@@ -156,14 +156,14 @@ public abstract class AbstractAccelerator implements QueryAccelerator {
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String[] dbTable = materialization.getName().split("\\.");
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String tb = dbTable[1].toLowerCase();
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String db = dbTable[0].toLowerCase();
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Builder builder = DataSourceTable.newBuilder(tb);
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Builder builder = S2CalciteTable.newBuilder(tb);
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for (String f : materialization.getColumns()) {
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builder.addField(f, SqlTypeName.VARCHAR);
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}
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if (StringUtils.isNotBlank(materialization.getPartitionName())) {
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builder.addField(materialization.getPartitionName(), SqlTypeName.VARCHAR);
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}
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DataSourceTable srcTable = builder.withRowCount(1L).build();
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S2CalciteTable srcTable = builder.withRowCount(1L).build();
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if (Objects.nonNull(db) && !db.isEmpty()) {
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SchemaPlus schemaPlus = dataSetSchema.plus().getSubSchema(db);
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if (Objects.isNull(schemaPlus)) {
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@@ -1,34 +1,72 @@
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package com.tencent.supersonic.headless.core.translator;
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import com.tencent.supersonic.common.calcite.SqlMergeWithUtils;
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import com.tencent.supersonic.common.jsqlparser.SqlRemoveHelper;
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import com.tencent.supersonic.common.jsqlparser.SqlReplaceHelper;
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import com.tencent.supersonic.common.jsqlparser.SqlSelectFunctionHelper;
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import com.tencent.supersonic.common.jsqlparser.SqlSelectHelper;
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import com.tencent.supersonic.common.pojo.Aggregator;
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import com.tencent.supersonic.common.pojo.Constants;
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import com.tencent.supersonic.common.pojo.enums.AggOperatorEnum;
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import com.tencent.supersonic.common.pojo.enums.EngineType;
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import com.tencent.supersonic.common.pojo.enums.QueryType;
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import com.tencent.supersonic.common.pojo.enums.TimeDimensionEnum;
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import com.tencent.supersonic.common.util.StringUtil;
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import com.tencent.supersonic.headless.api.pojo.Measure;
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import com.tencent.supersonic.headless.api.pojo.MetricTable;
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import com.tencent.supersonic.headless.api.pojo.QueryParam;
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import com.tencent.supersonic.headless.api.pojo.SchemaItem;
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import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
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import com.tencent.supersonic.headless.api.pojo.enums.MetricType;
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import com.tencent.supersonic.headless.api.pojo.request.QueryStructReq;
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import com.tencent.supersonic.headless.api.pojo.response.DatabaseResp;
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import com.tencent.supersonic.headless.api.pojo.response.DimSchemaResp;
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import com.tencent.supersonic.headless.api.pojo.response.MetricResp;
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import com.tencent.supersonic.headless.api.pojo.response.MetricSchemaResp;
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import com.tencent.supersonic.headless.api.pojo.response.ModelResp;
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import com.tencent.supersonic.headless.api.pojo.response.SemanticSchemaResp;
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import com.tencent.supersonic.headless.core.adaptor.db.DbAdaptor;
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import com.tencent.supersonic.headless.core.adaptor.db.DbAdaptorFactory;
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import com.tencent.supersonic.headless.core.pojo.DataSetQueryParam;
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import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
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import com.tencent.supersonic.headless.core.pojo.QueryStatement;
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import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
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import com.tencent.supersonic.headless.core.translator.converter.QueryConverter;
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import com.tencent.supersonic.headless.core.utils.ComponentFactory;
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import com.tencent.supersonic.headless.core.utils.SqlGenerateUtils;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.commons.lang3.tuple.Pair;
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import org.springframework.beans.BeanUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Component;
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import org.springframework.util.CollectionUtils;
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import java.util.ArrayList;
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import java.util.Comparator;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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import java.util.Set;
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import java.util.stream.Collectors;
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import java.util.stream.Stream;
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@Component
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@Slf4j
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public class DefaultSemanticTranslator implements SemanticTranslator {
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@Autowired
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private SqlGenerateUtils sqlGenerateUtils;
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public void translate(QueryStatement queryStatement) {
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if (queryStatement.isTranslated()) {
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return;
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}
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try {
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preprocess(queryStatement);
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parse(queryStatement);
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optimize(queryStatement);
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} catch (Exception e) {
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@@ -36,12 +74,6 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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}
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}
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public void optimize(QueryStatement queryStatement) {
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for (QueryOptimizer queryOptimizer : ComponentFactory.getQueryOptimizers()) {
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queryOptimizer.rewrite(queryStatement);
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}
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}
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private void parse(QueryStatement queryStatement) throws Exception {
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QueryParam queryParam = queryStatement.getQueryParam();
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if (Objects.isNull(queryStatement.getDataSetQueryParam())) {
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@@ -50,6 +82,7 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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if (Objects.isNull(queryStatement.getMetricQueryParam())) {
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queryStatement.setMetricQueryParam(new MetricQueryParam());
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}
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log.debug("SemanticConverter before [{}]", queryParam);
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for (QueryConverter headlessConverter : ComponentFactory.getQueryConverters()) {
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if (headlessConverter.accept(queryStatement)) {
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@@ -59,6 +92,7 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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}
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log.debug("SemanticConverter after {} {} {}", queryParam,
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queryStatement.getDataSetQueryParam(), queryStatement.getMetricQueryParam());
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if (!queryStatement.getDataSetQueryParam().getSql().isEmpty()) {
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doParse(queryStatement.getDataSetQueryParam(), queryStatement);
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} else {
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@@ -67,6 +101,7 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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doParse(queryStatement,
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AggOption.getAggregation(queryStatement.getMetricQueryParam().isNativeQuery()));
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}
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if (StringUtils.isEmpty(queryStatement.getSql())) {
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throw new RuntimeException("parse Exception: " + queryStatement.getErrMsg());
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}
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@@ -147,14 +182,15 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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private QueryStatement parserSql(MetricTable metricTable, Boolean isSingleMetricTable,
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DataSetQueryParam dataSetQueryParam, QueryStatement queryStatement) throws Exception {
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MetricQueryParam metricReq = new MetricQueryParam();
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metricReq.setMetrics(metricTable.getMetrics());
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metricReq.setDimensions(metricTable.getDimensions());
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metricReq.setWhere(StringUtil.formatSqlQuota(metricTable.getWhere()));
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metricReq.setNativeQuery(!AggOption.isAgg(metricTable.getAggOption()));
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MetricQueryParam metricQueryParam = new MetricQueryParam();
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metricQueryParam.setMetrics(metricTable.getMetrics());
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metricQueryParam.setDimensions(metricTable.getDimensions());
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metricQueryParam.setWhere(StringUtil.formatSqlQuota(metricTable.getWhere()));
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metricQueryParam.setNativeQuery(!AggOption.isAgg(metricTable.getAggOption()));
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QueryStatement tableSql = new QueryStatement();
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tableSql.setIsS2SQL(false);
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tableSql.setMetricQueryParam(metricReq);
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tableSql.setMetricQueryParam(metricQueryParam);
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tableSql.setMinMaxTime(queryStatement.getMinMaxTime());
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tableSql.setEnableOptimize(queryStatement.getEnableOptimize());
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tableSql.setDataSetId(queryStatement.getDataSetId());
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@@ -170,4 +206,302 @@ public class DefaultSemanticTranslator implements SemanticTranslator {
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}
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return tableSql;
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}
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private void optimize(QueryStatement queryStatement) {
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for (QueryOptimizer queryOptimizer : ComponentFactory.getQueryOptimizers()) {
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queryOptimizer.rewrite(queryStatement);
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}
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}
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private void preprocess(QueryStatement queryStatement) {
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if (StringUtils.isBlank(queryStatement.getSql())) {
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return;
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}
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SemanticSchemaResp semanticSchemaResp = queryStatement.getSemanticSchemaResp();
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convertNameToBizName(queryStatement);
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rewriteFunction(queryStatement);
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queryStatement.setSql(SqlRemoveHelper.removeUnderscores(queryStatement.getSql()));
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String tableName = SqlSelectHelper.getTableName(queryStatement.getSql());
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if (StringUtils.isEmpty(tableName)) {
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return;
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}
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// correct order item is same as agg alias
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String reqSql = queryStatement.getSql();
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queryStatement.setSql(SqlReplaceHelper.replaceAggAliasOrderItem(queryStatement.getSql()));
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log.debug("replaceOrderAggSameAlias {} -> {}", reqSql, queryStatement.getSql());
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// 5.build MetricTables
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List<String> allFields = SqlSelectHelper.getAllSelectFields(queryStatement.getSql());
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List<MetricSchemaResp> metricSchemas = getMetrics(semanticSchemaResp, allFields);
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List<String> metrics =
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metricSchemas.stream().map(SchemaItem::getBizName).collect(Collectors.toList());
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Set<String> dimensions = getDimensions(semanticSchemaResp, allFields);
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QueryStructReq queryStructReq = new QueryStructReq();
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MetricTable metricTable = new MetricTable();
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metricTable.getMetrics().addAll(metrics);
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metricTable.getDimensions().addAll(dimensions);
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metricTable.setAlias(tableName.toLowerCase());
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// if metric empty , fill model default
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if (CollectionUtils.isEmpty(metricTable.getMetrics())) {
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metricTable.getMetrics().add(sqlGenerateUtils.generateInternalMetricName(
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getDefaultModel(semanticSchemaResp, metricTable.getDimensions())));
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} else {
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queryStructReq.getAggregators()
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.addAll(metricTable.getMetrics().stream()
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.map(m -> new Aggregator(m, AggOperatorEnum.UNKNOWN))
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.collect(Collectors.toList()));
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}
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AggOption aggOption = getAggOption(queryStatement, metricSchemas);
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metricTable.setAggOption(aggOption);
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List<MetricTable> tables = new ArrayList<>();
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tables.add(metricTable);
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// 6.build ParseSqlReq
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DataSetQueryParam datasetQueryParam = new DataSetQueryParam();
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datasetQueryParam.setTables(tables);
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datasetQueryParam.setSql(queryStatement.getSql());
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DatabaseResp database = semanticSchemaResp.getDatabaseResp();
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if (!sqlGenerateUtils.isSupportWith(EngineType.fromString(database.getType().toUpperCase()),
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database.getVersion())) {
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datasetQueryParam.setSupportWith(false);
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datasetQueryParam.setWithAlias(false);
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}
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// 7. do deriveMetric
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generateDerivedMetric(semanticSchemaResp, aggOption, datasetQueryParam);
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// 8.physicalSql by ParseSqlReq
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// queryStructReq.setDateInfo(queryStructUtils.getDateConfBySql(queryStatement.getSql()));
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queryStructReq.setDataSetId(queryStatement.getDataSetId());
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queryStructReq.setQueryType(getQueryType(aggOption));
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log.debug("QueryReqConverter queryStructReq[{}]", queryStructReq);
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QueryParam queryParam = new QueryParam();
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BeanUtils.copyProperties(queryStructReq, queryParam);
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queryStatement.setQueryParam(queryParam);
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queryStatement.setDataSetQueryParam(datasetQueryParam);
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// queryStatement.setMinMaxTime(queryStructUtils.getBeginEndTime(queryStructReq));
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}
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private AggOption getAggOption(QueryStatement queryStatement,
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List<MetricSchemaResp> metricSchemas) {
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String sql = queryStatement.getSql();
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if (!SqlSelectFunctionHelper.hasAggregateFunction(sql) && !SqlSelectHelper.hasGroupBy(sql)
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&& !SqlSelectHelper.hasWith(sql) && !SqlSelectHelper.hasSubSelect(sql)) {
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log.debug("getAggOption simple sql set to DEFAULT");
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return AggOption.DEFAULT;
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}
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// if there is no group by in S2SQL,set MetricTable's aggOption to "NATIVE"
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// if there is count() in S2SQL,set MetricTable's aggOption to "NATIVE"
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if (!SqlSelectFunctionHelper.hasAggregateFunction(sql)
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|| SqlSelectFunctionHelper.hasFunction(sql, "count")
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|| SqlSelectFunctionHelper.hasFunction(sql, "count_distinct")) {
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return AggOption.OUTER;
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}
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// if (queryStatement.isInnerLayerNative()) {
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// return AggOption.NATIVE;
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// }
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if (SqlSelectHelper.hasSubSelect(sql) || SqlSelectHelper.hasWith(sql)
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|| SqlSelectHelper.hasGroupBy(sql)) {
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return AggOption.OUTER;
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}
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long defaultAggNullCnt = metricSchemas.stream().filter(
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m -> Objects.isNull(m.getDefaultAgg()) || StringUtils.isBlank(m.getDefaultAgg()))
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.count();
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if (defaultAggNullCnt > 0) {
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log.debug("getAggOption find null defaultAgg metric set to NATIVE");
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return AggOption.OUTER;
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}
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return AggOption.DEFAULT;
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}
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private void convertNameToBizName(QueryStatement queryStatement) {
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SemanticSchemaResp semanticSchemaResp = queryStatement.getSemanticSchemaResp();
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Map<String, String> fieldNameToBizNameMap = getFieldNameToBizNameMap(semanticSchemaResp);
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String sql = queryStatement.getSql();
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log.debug("dataSetId:{},convert name to bizName before:{}", queryStatement.getDataSetId(),
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sql);
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sql = SqlReplaceHelper.replaceSqlByPositions(sql);
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log.debug("replaceSqlByPositions:{}", sql);
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sql = SqlReplaceHelper.replaceFields(sql, fieldNameToBizNameMap, true);
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log.debug("dataSetId:{},convert name to bizName after:{}", queryStatement.getDataSetId(),
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sql);
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sql = SqlReplaceHelper.replaceTable(sql,
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Constants.TABLE_PREFIX + queryStatement.getDataSetId());
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log.debug("replaceTableName after:{}", sql);
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queryStatement.setSql(sql);
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}
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private Set<String> getDimensions(SemanticSchemaResp semanticSchemaResp,
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List<String> allFields) {
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Map<String, String> dimensionLowerToNameMap = semanticSchemaResp.getDimensions().stream()
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.collect(Collectors.toMap(entry -> entry.getBizName().toLowerCase(),
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SchemaItem::getBizName, (k1, k2) -> k1));
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dimensionLowerToNameMap.put(TimeDimensionEnum.DAY.getName(),
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TimeDimensionEnum.DAY.getName());
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return allFields.stream()
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.filter(entry -> dimensionLowerToNameMap.containsKey(entry.toLowerCase()))
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.map(entry -> dimensionLowerToNameMap.get(entry.toLowerCase()))
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.collect(Collectors.toSet());
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}
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private List<MetricSchemaResp> getMetrics(SemanticSchemaResp semanticSchemaResp,
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List<String> allFields) {
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Map<String, MetricSchemaResp> metricLowerToNameMap =
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semanticSchemaResp.getMetrics().stream().collect(Collectors
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.toMap(entry -> entry.getBizName().toLowerCase(), entry -> entry));
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return allFields.stream()
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.filter(entry -> metricLowerToNameMap.containsKey(entry.toLowerCase()))
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.map(entry -> metricLowerToNameMap.get(entry.toLowerCase()))
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.collect(Collectors.toList());
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}
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private void rewriteFunction(QueryStatement queryStatement) {
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SemanticSchemaResp semanticSchemaResp = queryStatement.getSemanticSchemaResp();
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DatabaseResp database = semanticSchemaResp.getDatabaseResp();
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if (Objects.isNull(database) || Objects.isNull(database.getType())) {
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return;
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}
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String type = database.getType();
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DbAdaptor engineAdaptor = DbAdaptorFactory.getEngineAdaptor(type.toLowerCase());
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if (Objects.nonNull(engineAdaptor)) {
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String functionNameCorrector =
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engineAdaptor.functionNameCorrector(queryStatement.getSql());
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queryStatement.setSql(functionNameCorrector);
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}
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}
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protected Map<String, String> getFieldNameToBizNameMap(SemanticSchemaResp semanticSchemaResp) {
|
||||
// support fieldName and field alias to bizName
|
||||
Map<String, String> dimensionResults = semanticSchemaResp.getDimensions().stream().flatMap(
|
||||
entry -> getPairStream(entry.getAlias(), entry.getName(), entry.getBizName()))
|
||||
.collect(Collectors.toMap(Pair::getLeft, Pair::getRight, (k1, k2) -> k1));
|
||||
|
||||
Map<String, String> metricResults = semanticSchemaResp.getMetrics().stream().flatMap(
|
||||
entry -> getPairStream(entry.getAlias(), entry.getName(), entry.getBizName()))
|
||||
.collect(Collectors.toMap(Pair::getLeft, Pair::getRight, (k1, k2) -> k1));
|
||||
|
||||
dimensionResults.putAll(TimeDimensionEnum.getChNameToNameMap());
|
||||
dimensionResults.putAll(TimeDimensionEnum.getNameToNameMap());
|
||||
dimensionResults.putAll(metricResults);
|
||||
return dimensionResults;
|
||||
}
|
||||
|
||||
private Stream<Pair<String, String>> getPairStream(String aliasStr, String name,
|
||||
String bizName) {
|
||||
Set<Pair<String, String>> elements = new HashSet<>();
|
||||
elements.add(Pair.of(name, bizName));
|
||||
if (StringUtils.isNotBlank(aliasStr)) {
|
||||
List<String> aliasList = SchemaItem.getAliasList(aliasStr);
|
||||
for (String alias : aliasList) {
|
||||
elements.add(Pair.of(alias, bizName));
|
||||
}
|
||||
}
|
||||
return elements.stream();
|
||||
}
|
||||
|
||||
private QueryType getQueryType(AggOption aggOption) {
|
||||
boolean isAgg = AggOption.isAgg(aggOption);
|
||||
QueryType queryType = QueryType.DETAIL;
|
||||
if (isAgg) {
|
||||
queryType = QueryType.AGGREGATE;
|
||||
}
|
||||
return queryType;
|
||||
}
|
||||
|
||||
private void generateDerivedMetric(SemanticSchemaResp semanticSchemaResp, AggOption aggOption,
|
||||
DataSetQueryParam viewQueryParam) {
|
||||
String sql = viewQueryParam.getSql();
|
||||
for (MetricTable metricTable : viewQueryParam.getTables()) {
|
||||
Set<String> measures = new HashSet<>();
|
||||
Map<String, String> replaces = generateDerivedMetric(semanticSchemaResp, aggOption,
|
||||
metricTable.getMetrics(), metricTable.getDimensions(), measures);
|
||||
|
||||
if (!CollectionUtils.isEmpty(replaces)) {
|
||||
// metricTable sql use measures replace metric
|
||||
sql = SqlReplaceHelper.replaceSqlByExpression(sql, replaces);
|
||||
metricTable.setAggOption(AggOption.NATIVE);
|
||||
// metricTable use measures replace metric
|
||||
if (!CollectionUtils.isEmpty(measures)) {
|
||||
metricTable.setMetrics(new ArrayList<>(measures));
|
||||
} else {
|
||||
// empty measure , fill default
|
||||
metricTable.setMetrics(new ArrayList<>());
|
||||
metricTable.getMetrics().add(sqlGenerateUtils.generateInternalMetricName(
|
||||
getDefaultModel(semanticSchemaResp, metricTable.getDimensions())));
|
||||
}
|
||||
}
|
||||
}
|
||||
viewQueryParam.setSql(sql);
|
||||
}
|
||||
|
||||
private Map<String, String> generateDerivedMetric(SemanticSchemaResp semanticSchemaResp,
|
||||
AggOption aggOption, List<String> metrics, List<String> dimensions,
|
||||
Set<String> measures) {
|
||||
Map<String, String> result = new HashMap<>();
|
||||
List<MetricSchemaResp> metricResps = semanticSchemaResp.getMetrics();
|
||||
List<DimSchemaResp> dimensionResps = semanticSchemaResp.getDimensions();
|
||||
|
||||
// Check if any metric is derived
|
||||
boolean hasDerivedMetrics =
|
||||
metricResps.stream().anyMatch(m -> metrics.contains(m.getBizName()) && MetricType
|
||||
.isDerived(m.getMetricDefineType(), m.getMetricDefineByMeasureParams()));
|
||||
if (!hasDerivedMetrics) {
|
||||
return result;
|
||||
}
|
||||
|
||||
log.debug("begin to generateDerivedMetric {} [{}]", aggOption, metrics);
|
||||
|
||||
Set<String> allFields = new HashSet<>();
|
||||
Map<String, Measure> allMeasures = new HashMap<>();
|
||||
semanticSchemaResp.getModelResps().forEach(modelResp -> {
|
||||
allFields.addAll(modelResp.getFieldList());
|
||||
if (modelResp.getModelDetail().getMeasures() != null) {
|
||||
modelResp.getModelDetail().getMeasures()
|
||||
.forEach(measure -> allMeasures.put(measure.getBizName(), measure));
|
||||
}
|
||||
});
|
||||
|
||||
Set<String> derivedDimensions = new HashSet<>();
|
||||
Set<String> derivedMetrics = new HashSet<>();
|
||||
Map<String, String> visitedMetrics = new HashMap<>();
|
||||
|
||||
for (MetricResp metricResp : metricResps) {
|
||||
if (metrics.contains(metricResp.getBizName())) {
|
||||
boolean isDerived = MetricType.isDerived(metricResp.getMetricDefineType(),
|
||||
metricResp.getMetricDefineByMeasureParams());
|
||||
if (isDerived) {
|
||||
String expr = sqlGenerateUtils.generateDerivedMetric(metricResps, allFields,
|
||||
allMeasures, dimensionResps, sqlGenerateUtils.getExpr(metricResp),
|
||||
metricResp.getMetricDefineType(), aggOption, visitedMetrics,
|
||||
derivedMetrics, derivedDimensions);
|
||||
result.put(metricResp.getBizName(), expr);
|
||||
log.debug("derived metric {}->{}", metricResp.getBizName(), expr);
|
||||
} else {
|
||||
measures.add(metricResp.getBizName());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
measures.addAll(derivedMetrics);
|
||||
derivedDimensions.stream().filter(dimension -> !dimensions.contains(dimension))
|
||||
.forEach(dimensions::add);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
private String getDefaultModel(SemanticSchemaResp semanticSchemaResp, List<String> dimensions) {
|
||||
if (!CollectionUtils.isEmpty(dimensions)) {
|
||||
Map<String, Long> modelMatchCnt = new HashMap<>();
|
||||
for (ModelResp modelResp : semanticSchemaResp.getModelResps()) {
|
||||
modelMatchCnt.put(modelResp.getBizName(), modelResp.getModelDetail().getDimensions()
|
||||
.stream().filter(d -> dimensions.contains(d.getBizName())).count());
|
||||
}
|
||||
return modelMatchCnt.entrySet().stream()
|
||||
.sorted(Map.Entry.comparingByValue(Comparator.reverseOrder()))
|
||||
.map(m -> m.getKey()).findFirst().orElse("");
|
||||
}
|
||||
return semanticSchemaResp.getModelResps().get(0).getBizName();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,22 +1,15 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite;
|
||||
|
||||
import com.tencent.supersonic.common.calcite.SqlMergeWithUtils;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
|
||||
import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
import com.tencent.supersonic.headless.core.translator.QueryParser;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.planner.AggPlanner;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.RuntimeOptions;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.RuntimeOptions;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.SqlBuilder;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.calcite.sql.parser.SqlParseException;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.util.Collections;
|
||||
import java.util.Objects;
|
||||
|
||||
/** the calcite parse implements */
|
||||
@Component("CalciteQueryParser")
|
||||
@Slf4j
|
||||
@@ -24,54 +17,19 @@ public class CalciteQueryParser implements QueryParser {
|
||||
|
||||
@Override
|
||||
public void parse(QueryStatement queryStatement, AggOption isAgg) throws Exception {
|
||||
MetricQueryParam metricReq = queryStatement.getMetricQueryParam();
|
||||
Ontology ontology = queryStatement.getOntology();
|
||||
if (ontology == null) {
|
||||
queryStatement.setErrMsg("semanticSchema not found");
|
||||
queryStatement.setErrMsg("No ontology could be found");
|
||||
return;
|
||||
}
|
||||
queryStatement.setMetricQueryParam(metricReq);
|
||||
S2SemanticSchema semanticSchema = getSemanticSchema(ontology, queryStatement);
|
||||
AggPlanner aggPlanner = new AggPlanner(semanticSchema);
|
||||
aggPlanner.plan(queryStatement, isAgg);
|
||||
EngineType engineType = EngineType.fromString(ontology.getDatabase().getType());
|
||||
queryStatement.setSql(aggPlanner.getSql(engineType));
|
||||
if (Objects.nonNull(queryStatement.getEnableOptimize())
|
||||
&& queryStatement.getEnableOptimize()
|
||||
&& Objects.nonNull(queryStatement.getDataSetAlias())
|
||||
&& !queryStatement.getDataSetAlias().isEmpty()) {
|
||||
// simplify model sql with query sql
|
||||
String simplifySql = aggPlanner.simplify(
|
||||
getSqlByDataSet(engineType, aggPlanner.getSql(engineType),
|
||||
queryStatement.getDataSetSql(), queryStatement.getDataSetAlias()),
|
||||
engineType);
|
||||
if (Objects.nonNull(simplifySql) && !simplifySql.isEmpty()) {
|
||||
log.debug("simplifySql [{}]", simplifySql);
|
||||
queryStatement.setDataSetSimplifySql(simplifySql);
|
||||
}
|
||||
}
|
||||
|
||||
S2CalciteSchema semanticSchema = S2CalciteSchema.builder()
|
||||
.schemaKey("DATASET_" + queryStatement.getDataSetId()).ontology(ontology)
|
||||
.runtimeOptions(RuntimeOptions.builder().minMaxTime(queryStatement.getMinMaxTime())
|
||||
.enableOptimize(queryStatement.getEnableOptimize()).build())
|
||||
.build();
|
||||
SqlBuilder sqlBuilder = new SqlBuilder(semanticSchema);
|
||||
sqlBuilder.build(queryStatement, isAgg);
|
||||
}
|
||||
|
||||
private S2SemanticSchema getSemanticSchema(Ontology ontology, QueryStatement queryStatement) {
|
||||
S2SemanticSchema semanticSchema =
|
||||
S2SemanticSchema.newBuilder(ontology.getSchemaKey()).build();
|
||||
semanticSchema.setSemanticModel(ontology);
|
||||
semanticSchema.setDatasource(ontology.getDatasourceMap());
|
||||
semanticSchema.setDimension(ontology.getDimensionMap());
|
||||
semanticSchema.setMetric(ontology.getMetrics());
|
||||
semanticSchema.setJoinRelations(ontology.getJoinRelations());
|
||||
semanticSchema.setRuntimeOptions(
|
||||
RuntimeOptions.builder().minMaxTime(queryStatement.getMinMaxTime())
|
||||
.enableOptimize(queryStatement.getEnableOptimize()).build());
|
||||
return semanticSchema;
|
||||
}
|
||||
|
||||
private String getSqlByDataSet(EngineType engineType, String parentSql, String dataSetSql,
|
||||
String parentAlias) throws SqlParseException {
|
||||
if (!SqlMergeWithUtils.hasWith(engineType, dataSetSql)) {
|
||||
return String.format("with %s as (%s) %s", parentAlias, parentSql, dataSetSql);
|
||||
}
|
||||
return SqlMergeWithUtils.mergeWith(engineType, dataSetSql,
|
||||
Collections.singletonList(parentSql), Collections.singletonList(parentAlias));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,17 +0,0 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.planner;
|
||||
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
|
||||
/** parse and generate SQL and other execute information */
|
||||
public interface Planner {
|
||||
|
||||
void plan(QueryStatement queryStatement, AggOption aggOption) throws Exception;
|
||||
|
||||
String getSql(EngineType enginType);
|
||||
|
||||
String getSourceId();
|
||||
|
||||
String simplify(String sql, EngineType engineType);
|
||||
}
|
||||
@@ -13,7 +13,7 @@ public class DataModel {
|
||||
|
||||
private String name;
|
||||
|
||||
private Long sourceId;
|
||||
private Long modelId;
|
||||
|
||||
private String type;
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.s2sql;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.SemanticItem;
|
||||
import lombok.Builder;
|
||||
import lombok.Data;
|
||||
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.s2sql;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.SemanticItem;
|
||||
import lombok.Data;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
@@ -13,7 +13,6 @@ import java.util.stream.Collectors;
|
||||
@Data
|
||||
public class Ontology {
|
||||
|
||||
private String schemaKey;
|
||||
private List<Metric> metrics = new ArrayList<>();
|
||||
private Map<String, DataModel> datasourceMap = new HashMap<>();
|
||||
private Map<String, List<Dimension>> dimensionMap = new HashMap<>();
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.schema;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.s2sql;
|
||||
|
||||
public interface SemanticItem {
|
||||
String getName();
|
||||
|
||||
public String getName();
|
||||
String getType();
|
||||
}
|
||||
@@ -1,137 +0,0 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.schema;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.DataModel;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Dimension;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.JoinRelation;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Materialization;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
|
||||
import org.apache.calcite.schema.Schema;
|
||||
import org.apache.calcite.schema.SchemaVersion;
|
||||
import org.apache.calcite.schema.Table;
|
||||
import org.apache.calcite.schema.impl.AbstractSchema;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
public class S2SemanticSchema extends AbstractSchema {
|
||||
|
||||
private final String schemaKey;
|
||||
|
||||
private final Map<String, Table> tableMap;
|
||||
|
||||
private Ontology ontology = new Ontology();
|
||||
|
||||
private List<JoinRelation> joinRelations;
|
||||
|
||||
private RuntimeOptions runtimeOptions;
|
||||
|
||||
private S2SemanticSchema(String schemaKey, Map<String, Table> tableMap) {
|
||||
this.schemaKey = schemaKey;
|
||||
this.tableMap = tableMap;
|
||||
}
|
||||
|
||||
public static Builder newBuilder(String schemaKey) {
|
||||
return new Builder(schemaKey);
|
||||
}
|
||||
|
||||
public String getSchemaKey() {
|
||||
return schemaKey;
|
||||
}
|
||||
|
||||
public void setSemanticModel(Ontology ontology) {
|
||||
this.ontology = ontology;
|
||||
}
|
||||
|
||||
public Ontology getSemanticModel() {
|
||||
return ontology;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, Table> getTableMap() {
|
||||
return tableMap;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Schema snapshot(SchemaVersion version) {
|
||||
return this;
|
||||
}
|
||||
|
||||
public Map<String, DataModel> getDatasource() {
|
||||
return ontology.getDatasourceMap();
|
||||
}
|
||||
|
||||
public void setDatasource(Map<String, DataModel> datasource) {
|
||||
ontology.setDatasourceMap(datasource);
|
||||
}
|
||||
|
||||
public Map<String, List<Dimension>> getDimension() {
|
||||
return ontology.getDimensionMap();
|
||||
}
|
||||
|
||||
public void setDimension(Map<String, List<Dimension>> dimensions) {
|
||||
ontology.setDimensionMap(dimensions);
|
||||
}
|
||||
|
||||
public List<Metric> getMetrics() {
|
||||
return ontology.getMetrics();
|
||||
}
|
||||
|
||||
public void setMetric(List<Metric> metric) {
|
||||
ontology.setMetrics(metric);
|
||||
}
|
||||
|
||||
public void setMaterializationList(List<Materialization> materializationList) {
|
||||
ontology.setMaterializationList(materializationList);
|
||||
}
|
||||
|
||||
public List<Materialization> getMaterializationList() {
|
||||
return ontology.getMaterializationList();
|
||||
}
|
||||
|
||||
public void setJoinRelations(List<JoinRelation> joinRelations) {
|
||||
this.joinRelations = joinRelations;
|
||||
}
|
||||
|
||||
public List<JoinRelation> getJoinRelations() {
|
||||
return joinRelations;
|
||||
}
|
||||
|
||||
public void setRuntimeOptions(RuntimeOptions runtimeOptions) {
|
||||
this.runtimeOptions = runtimeOptions;
|
||||
}
|
||||
|
||||
public RuntimeOptions getRuntimeOptions() {
|
||||
return runtimeOptions;
|
||||
}
|
||||
|
||||
public static final class Builder {
|
||||
|
||||
private final String schemaKey;
|
||||
private final Map<String, Table> tableMap = new HashMap<>();
|
||||
|
||||
private Builder(String schemaKey) {
|
||||
if (schemaKey == null) {
|
||||
throw new IllegalArgumentException("Schema name cannot be null or empty");
|
||||
}
|
||||
|
||||
this.schemaKey = schemaKey;
|
||||
}
|
||||
|
||||
public Builder addTable(DataSourceTable table) {
|
||||
if (tableMap.containsKey(table.getTableName())) {
|
||||
throw new IllegalArgumentException(
|
||||
"Table already defined: " + table.getTableName());
|
||||
}
|
||||
|
||||
tableMap.put(table.getTableName(), table);
|
||||
|
||||
return this;
|
||||
}
|
||||
|
||||
public S2SemanticSchema build() {
|
||||
return new S2SemanticSchema(schemaKey, tableMap);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql.optimizer;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import org.apache.calcite.plan.RelOptRuleCall;
|
||||
import org.apache.calcite.plan.RelRule;
|
||||
import org.apache.calcite.rel.core.Aggregate;
|
||||
@@ -40,24 +39,23 @@ public class FilterToGroupScanRule extends RelRule<Config> implements Transforma
|
||||
});
|
||||
}).as(FilterTableScanRule.Config.class);
|
||||
|
||||
private S2SemanticSchema semanticSchema;
|
||||
private S2CalciteSchema schema;
|
||||
|
||||
public FilterToGroupScanRule(FilterTableScanRule.Config config,
|
||||
S2SemanticSchema semanticSchema) {
|
||||
public FilterToGroupScanRule(FilterTableScanRule.Config config, S2CalciteSchema schema) {
|
||||
super(config);
|
||||
this.semanticSchema = semanticSchema;
|
||||
this.schema = schema;
|
||||
}
|
||||
|
||||
public void onMatch(RelOptRuleCall call) {
|
||||
if (call.rels.length != 4) {
|
||||
return;
|
||||
}
|
||||
if (Objects.isNull(semanticSchema.getRuntimeOptions())
|
||||
|| Objects.isNull(semanticSchema.getRuntimeOptions().getMinMaxTime())
|
||||
|| semanticSchema.getRuntimeOptions().getMinMaxTime().getLeft().isEmpty()) {
|
||||
if (Objects.isNull(schema.getRuntimeOptions())
|
||||
|| Objects.isNull(schema.getRuntimeOptions().getMinMaxTime())
|
||||
|| schema.getRuntimeOptions().getMinMaxTime().getLeft().isEmpty()) {
|
||||
return;
|
||||
}
|
||||
Triple<String, String, String> minMax = semanticSchema.getRuntimeOptions().getMinMaxTime();
|
||||
Triple<String, String, String> minMax = schema.getRuntimeOptions().getMinMaxTime();
|
||||
Filter filter = (Filter) call.rel(0);
|
||||
Project project0 = (Project) call.rel(1);
|
||||
Project project1 = (Project) call.rel(3);
|
||||
@@ -1,8 +0,0 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
|
||||
public interface Optimization {
|
||||
|
||||
public void visit(S2SemanticSchema semanticSchema);
|
||||
}
|
||||
@@ -1,4 +1,4 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.schema;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import lombok.Builder;
|
||||
import lombok.Data;
|
||||
@@ -0,0 +1,48 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.DataModel;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Dimension;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.JoinRelation;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
|
||||
import lombok.Builder;
|
||||
import lombok.Data;
|
||||
import org.apache.calcite.schema.Schema;
|
||||
import org.apache.calcite.schema.SchemaVersion;
|
||||
import org.apache.calcite.schema.impl.AbstractSchema;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
@Data
|
||||
@Builder
|
||||
public class S2CalciteSchema extends AbstractSchema {
|
||||
|
||||
private String schemaKey;
|
||||
|
||||
private Ontology ontology;
|
||||
|
||||
private RuntimeOptions runtimeOptions;
|
||||
|
||||
@Override
|
||||
public Schema snapshot(SchemaVersion version) {
|
||||
return this;
|
||||
}
|
||||
|
||||
public Map<String, DataModel> getDatasource() {
|
||||
return ontology.getDatasourceMap();
|
||||
}
|
||||
|
||||
public Map<String, List<Dimension>> getDimension() {
|
||||
return ontology.getDimensionMap();
|
||||
}
|
||||
|
||||
public List<JoinRelation> getJoinRelations() {
|
||||
return ontology.getJoinRelations();
|
||||
}
|
||||
|
||||
public List<Metric> getMetrics() {
|
||||
return ontology.getMetrics();
|
||||
}
|
||||
|
||||
}
|
||||
@@ -1,4 +1,4 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.schema;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import org.apache.calcite.DataContext;
|
||||
import org.apache.calcite.linq4j.Enumerable;
|
||||
@@ -23,7 +23,7 @@ import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
/** customize the AbstractTable */
|
||||
public class DataSourceTable extends AbstractTable implements ScannableTable, TranslatableTable {
|
||||
public class S2CalciteTable extends AbstractTable implements ScannableTable, TranslatableTable {
|
||||
|
||||
private final String tableName;
|
||||
private final List<String> fieldNames;
|
||||
@@ -32,7 +32,7 @@ public class DataSourceTable extends AbstractTable implements ScannableTable, Tr
|
||||
|
||||
private RelDataType rowType;
|
||||
|
||||
private DataSourceTable(String tableName, List<String> fieldNames, List<SqlTypeName> fieldTypes,
|
||||
private S2CalciteTable(String tableName, List<String> fieldNames, List<SqlTypeName> fieldTypes,
|
||||
Statistic statistic) {
|
||||
this.tableName = tableName;
|
||||
this.fieldNames = fieldNames;
|
||||
@@ -116,7 +116,7 @@ public class DataSourceTable extends AbstractTable implements ScannableTable, Tr
|
||||
return this;
|
||||
}
|
||||
|
||||
public DataSourceTable build() {
|
||||
public S2CalciteTable build() {
|
||||
if (fieldNames.isEmpty()) {
|
||||
throw new IllegalStateException("Table must have at least one field");
|
||||
}
|
||||
@@ -125,7 +125,7 @@ public class DataSourceTable extends AbstractTable implements ScannableTable, Tr
|
||||
throw new IllegalStateException("Table must have positive row count");
|
||||
}
|
||||
|
||||
return new DataSourceTable(tableName, fieldNames, fieldTypes,
|
||||
return new S2CalciteTable(tableName, fieldNames, fieldTypes,
|
||||
Statistics.of(rowCount, null));
|
||||
}
|
||||
}
|
||||
@@ -1,8 +1,7 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.schema;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import com.tencent.supersonic.common.calcite.Configuration;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2SQLSqlValidatorImpl;
|
||||
import org.apache.calcite.jdbc.CalciteSchema;
|
||||
import org.apache.calcite.prepare.CalciteCatalogReader;
|
||||
import org.apache.calcite.prepare.Prepare;
|
||||
@@ -27,15 +26,14 @@ public class SchemaBuilder {
|
||||
public static final String MATERIALIZATION_SYS_FIELD_DATE = "C1";
|
||||
public static final String MATERIALIZATION_SYS_FIELD_DATA = "C2";
|
||||
|
||||
public static SqlValidatorScope getScope(S2SemanticSchema schema) throws Exception {
|
||||
public static SqlValidatorScope getScope(S2CalciteSchema schema) throws Exception {
|
||||
Map<String, RelDataType> nameToTypeMap = new HashMap<>();
|
||||
CalciteSchema rootSchema = CalciteSchema.createRootSchema(true, false);
|
||||
rootSchema.add(schema.getSchemaKey(), schema);
|
||||
Prepare.CatalogReader catalogReader = new CalciteCatalogReader(rootSchema,
|
||||
Collections.singletonList(schema.getSchemaKey()), Configuration.typeFactory,
|
||||
Configuration.config);
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
S2SQLSqlValidatorImpl s2SQLSqlValidator =
|
||||
new S2SQLSqlValidatorImpl(Configuration.operatorTable, catalogReader,
|
||||
Configuration.typeFactory, Configuration.getValidatorConfig(engineType));
|
||||
@@ -45,12 +43,12 @@ public class SchemaBuilder {
|
||||
public static CalciteSchema getMaterializationSchema() {
|
||||
CalciteSchema rootSchema = CalciteSchema.createRootSchema(true, false);
|
||||
SchemaPlus schema = rootSchema.plus().add(MATERIALIZATION_SYS_DB, new AbstractSchema());
|
||||
DataSourceTable srcTable = DataSourceTable.newBuilder(MATERIALIZATION_SYS_SOURCE)
|
||||
S2CalciteTable srcTable = S2CalciteTable.newBuilder(MATERIALIZATION_SYS_SOURCE)
|
||||
.addField(MATERIALIZATION_SYS_FIELD_DATE, SqlTypeName.DATE)
|
||||
.addField(MATERIALIZATION_SYS_FIELD_DATA, SqlTypeName.BIGINT).withRowCount(1)
|
||||
.build();
|
||||
schema.add(MATERIALIZATION_SYS_SOURCE, srcTable);
|
||||
DataSourceTable dataSetTable = DataSourceTable.newBuilder(MATERIALIZATION_SYS_VIEW)
|
||||
S2CalciteTable dataSetTable = S2CalciteTable.newBuilder(MATERIALIZATION_SYS_VIEW)
|
||||
.addField(MATERIALIZATION_SYS_FIELD_DATE, SqlTypeName.DATE)
|
||||
.addField(MATERIALIZATION_SYS_FIELD_DATA, SqlTypeName.BIGINT).withRowCount(1)
|
||||
.build();
|
||||
@@ -62,7 +60,7 @@ public class SchemaBuilder {
|
||||
Set<String> dates, Set<String> dimensions, Set<String> metrics) {
|
||||
String tb = tbSrc;
|
||||
String db = dbSrc;
|
||||
DataSourceTable.Builder builder = DataSourceTable.newBuilder(tb);
|
||||
S2CalciteTable.Builder builder = S2CalciteTable.newBuilder(tb);
|
||||
for (String date : dates) {
|
||||
builder.addField(date, SqlTypeName.VARCHAR);
|
||||
}
|
||||
@@ -72,7 +70,7 @@ public class SchemaBuilder {
|
||||
for (String metric : metrics) {
|
||||
builder.addField(metric, SqlTypeName.ANY);
|
||||
}
|
||||
DataSourceTable srcTable = builder.withRowCount(1).build();
|
||||
S2CalciteTable srcTable = builder.withRowCount(1).build();
|
||||
if (Objects.nonNull(db) && !db.isEmpty()) {
|
||||
SchemaPlus dbPs = dataSetSchema.plus();
|
||||
for (String d : db.split("\\.")) {
|
||||
@@ -1,6 +1,7 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.planner;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
|
||||
import com.tencent.supersonic.common.calcite.Configuration;
|
||||
import com.tencent.supersonic.common.calcite.SqlMergeWithUtils;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
|
||||
import com.tencent.supersonic.headless.core.pojo.Database;
|
||||
@@ -8,20 +9,20 @@ import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Constants;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.DataModel;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.SchemaBuilder;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataSourceNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataModelNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.SemanticNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.render.FilterRender;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.render.OutputRender;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.render.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.render.SourceRender;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.calcite.sql.SqlNode;
|
||||
import org.apache.calcite.sql.parser.SqlParseException;
|
||||
import org.apache.calcite.sql.parser.SqlParser;
|
||||
import org.apache.calcite.sql.validate.SqlValidatorScope;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.LinkedList;
|
||||
import java.util.List;
|
||||
import java.util.ListIterator;
|
||||
@@ -29,29 +30,62 @@ import java.util.Objects;
|
||||
|
||||
/** parsing from query dimensions and metrics */
|
||||
@Slf4j
|
||||
public class AggPlanner implements Planner {
|
||||
public class SqlBuilder {
|
||||
|
||||
private MetricQueryParam metricReq;
|
||||
private final S2SemanticSchema schema;
|
||||
private MetricQueryParam metricQueryParam;
|
||||
private final S2CalciteSchema schema;
|
||||
private SqlValidatorScope scope;
|
||||
private SqlNode parserNode;
|
||||
private String sourceId;
|
||||
private boolean isAgg = false;
|
||||
private AggOption aggOption = AggOption.DEFAULT;
|
||||
|
||||
public AggPlanner(S2SemanticSchema schema) {
|
||||
public SqlBuilder(S2CalciteSchema schema) {
|
||||
this.schema = schema;
|
||||
}
|
||||
|
||||
private void parse() throws Exception {
|
||||
public void build(QueryStatement queryStatement, AggOption aggOption) throws Exception {
|
||||
this.metricQueryParam = queryStatement.getMetricQueryParam();
|
||||
if (metricQueryParam.getMetrics() == null) {
|
||||
metricQueryParam.setMetrics(new ArrayList<>());
|
||||
}
|
||||
if (metricQueryParam.getDimensions() == null) {
|
||||
metricQueryParam.setDimensions(new ArrayList<>());
|
||||
}
|
||||
if (metricQueryParam.getLimit() == null) {
|
||||
metricQueryParam.setLimit(0L);
|
||||
}
|
||||
this.aggOption = aggOption;
|
||||
|
||||
buildParseNode();
|
||||
Database database = queryStatement.getOntology().getDatabase();
|
||||
EngineType engineType = EngineType.fromString(database.getType());
|
||||
optimizeParseNode(engineType);
|
||||
String sql = getSql(engineType);
|
||||
|
||||
queryStatement.setSql(sql);
|
||||
if (Objects.nonNull(queryStatement.getEnableOptimize())
|
||||
&& queryStatement.getEnableOptimize()
|
||||
&& Objects.nonNull(queryStatement.getDataSetAlias())
|
||||
&& !queryStatement.getDataSetAlias().isEmpty()) {
|
||||
// simplify model sql with query sql
|
||||
String simplifySql = rewrite(getSqlByDataSet(engineType, sql,
|
||||
queryStatement.getDataSetSql(), queryStatement.getDataSetAlias()), engineType);
|
||||
if (Objects.nonNull(simplifySql) && !simplifySql.isEmpty()) {
|
||||
log.debug("simplifySql [{}]", simplifySql);
|
||||
queryStatement.setDataSetSimplifySql(simplifySql);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private void buildParseNode() throws Exception {
|
||||
// find the match Datasource
|
||||
scope = SchemaBuilder.getScope(schema);
|
||||
List<DataModel> datasource = getMatchDataSource(scope);
|
||||
if (datasource == null || datasource.isEmpty()) {
|
||||
throw new Exception("datasource not found");
|
||||
List<DataModel> dataModels =
|
||||
DataModelNode.getRelatedDataModels(scope, schema, metricQueryParam);
|
||||
if (dataModels == null || dataModels.isEmpty()) {
|
||||
throw new Exception("data model not found");
|
||||
}
|
||||
isAgg = getAgg(datasource.get(0));
|
||||
sourceId = String.valueOf(datasource.get(0).getSourceId());
|
||||
isAgg = getAgg(dataModels.get(0));
|
||||
|
||||
// build level by level
|
||||
LinkedList<Renderer> builders = new LinkedList<>();
|
||||
@@ -64,21 +98,17 @@ public class AggPlanner implements Planner {
|
||||
while (it.hasNext()) {
|
||||
Renderer renderer = it.next();
|
||||
if (previous != null) {
|
||||
previous.render(metricReq, datasource, scope, schema, !isAgg);
|
||||
previous.render(metricQueryParam, dataModels, scope, schema, !isAgg);
|
||||
renderer.setTable(previous
|
||||
.builderAs(DataSourceNode.getNames(datasource) + "_" + String.valueOf(i)));
|
||||
.builderAs(DataModelNode.getNames(dataModels) + "_" + String.valueOf(i)));
|
||||
i++;
|
||||
}
|
||||
previous = renderer;
|
||||
}
|
||||
builders.getLast().render(metricReq, datasource, scope, schema, !isAgg);
|
||||
builders.getLast().render(metricQueryParam, dataModels, scope, schema, !isAgg);
|
||||
parserNode = builders.getLast().builder();
|
||||
}
|
||||
|
||||
private List<DataModel> getMatchDataSource(SqlValidatorScope scope) throws Exception {
|
||||
return DataSourceNode.getMatchDataSources(scope, schema, metricReq);
|
||||
}
|
||||
|
||||
private boolean getAgg(DataModel dataModel) {
|
||||
if (!AggOption.DEFAULT.equals(aggOption)) {
|
||||
return AggOption.isAgg(aggOption);
|
||||
@@ -86,46 +116,18 @@ public class AggPlanner implements Planner {
|
||||
// default by dataModel time aggregation
|
||||
if (Objects.nonNull(dataModel.getAggTime()) && !dataModel.getAggTime()
|
||||
.equalsIgnoreCase(Constants.DIMENSION_TYPE_TIME_GRANULARITY_NONE)) {
|
||||
if (!metricReq.isNativeQuery()) {
|
||||
if (!metricQueryParam.isNativeQuery()) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return isAgg;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void plan(QueryStatement queryStatement, AggOption aggOption) throws Exception {
|
||||
this.metricReq = queryStatement.getMetricQueryParam();
|
||||
if (metricReq.getMetrics() == null) {
|
||||
metricReq.setMetrics(new ArrayList<>());
|
||||
}
|
||||
if (metricReq.getDimensions() == null) {
|
||||
metricReq.setDimensions(new ArrayList<>());
|
||||
}
|
||||
if (metricReq.getLimit() == null) {
|
||||
metricReq.setLimit(0L);
|
||||
}
|
||||
this.aggOption = aggOption;
|
||||
// build a parse Node
|
||||
parse();
|
||||
// optimizer
|
||||
Database database = queryStatement.getOntology().getDatabase();
|
||||
EngineType engineType = EngineType.fromString(database.getType());
|
||||
optimize(engineType);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String getSql(EngineType engineType) {
|
||||
return SemanticNode.getSql(parserNode, engineType);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String getSourceId() {
|
||||
return sourceId;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String simplify(String sql, EngineType engineType) {
|
||||
private String rewrite(String sql, EngineType engineType) {
|
||||
try {
|
||||
SqlNode sqlNode =
|
||||
SqlParser.create(sql, Configuration.getParserConfig(engineType)).parseStmt();
|
||||
@@ -139,7 +141,7 @@ public class AggPlanner implements Planner {
|
||||
return "";
|
||||
}
|
||||
|
||||
private void optimize(EngineType engineType) {
|
||||
private void optimizeParseNode(EngineType engineType) {
|
||||
if (Objects.isNull(schema.getRuntimeOptions())
|
||||
|| Objects.isNull(schema.getRuntimeOptions().getEnableOptimize())
|
||||
|| !schema.getRuntimeOptions().getEnableOptimize()) {
|
||||
@@ -162,4 +164,13 @@ public class AggPlanner implements Planner {
|
||||
}
|
||||
}
|
||||
|
||||
private String getSqlByDataSet(EngineType engineType, String parentSql, String dataSetSql,
|
||||
String parentAlias) throws SqlParseException {
|
||||
if (!SqlMergeWithUtils.hasWith(engineType, dataSetSql)) {
|
||||
return String.format("with %s as (%s) %s", parentAlias, parentSql, dataSetSql);
|
||||
}
|
||||
return SqlMergeWithUtils.mergeWith(engineType, dataSetSql,
|
||||
Collections.singletonList(parentSql), Collections.singletonList(parentAlias));
|
||||
}
|
||||
|
||||
}
|
||||
@@ -11,9 +11,8 @@ import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Dimension;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Identify;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.JoinRelation;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Measure;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.SchemaBuilder;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.extend.LateralViewExplodeNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.SchemaBuilder;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.calcite.sql.SqlBasicCall;
|
||||
import org.apache.calcite.sql.SqlDataTypeSpec;
|
||||
@@ -38,27 +37,27 @@ import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
@Slf4j
|
||||
public class DataSourceNode extends SemanticNode {
|
||||
public class DataModelNode extends SemanticNode {
|
||||
|
||||
public static SqlNode build(DataModel datasource, SqlValidatorScope scope) throws Exception {
|
||||
public static SqlNode build(DataModel dataModel, SqlValidatorScope scope) throws Exception {
|
||||
String sqlTable = "";
|
||||
if (datasource.getSqlQuery() != null && !datasource.getSqlQuery().isEmpty()) {
|
||||
sqlTable = datasource.getSqlQuery();
|
||||
} else if (datasource.getTableQuery() != null && !datasource.getTableQuery().isEmpty()) {
|
||||
if (datasource.getType().equalsIgnoreCase(EngineType.POSTGRESQL.getName())) {
|
||||
String fullTableName = Arrays.stream(datasource.getTableQuery().split("\\."))
|
||||
if (dataModel.getSqlQuery() != null && !dataModel.getSqlQuery().isEmpty()) {
|
||||
sqlTable = dataModel.getSqlQuery();
|
||||
} else if (dataModel.getTableQuery() != null && !dataModel.getTableQuery().isEmpty()) {
|
||||
if (dataModel.getType().equalsIgnoreCase(EngineType.POSTGRESQL.getName())) {
|
||||
String fullTableName = Arrays.stream(dataModel.getTableQuery().split("\\."))
|
||||
.collect(Collectors.joining(".public."));
|
||||
sqlTable = "select * from " + fullTableName;
|
||||
} else {
|
||||
sqlTable = "select * from " + datasource.getTableQuery();
|
||||
sqlTable = "select * from " + dataModel.getTableQuery();
|
||||
}
|
||||
}
|
||||
if (sqlTable.isEmpty()) {
|
||||
throw new Exception("DatasourceNode build error [tableSqlNode not found]");
|
||||
}
|
||||
SqlNode source = getTable(sqlTable, scope, EngineType.fromString(datasource.getType()));
|
||||
addSchema(scope, datasource, sqlTable);
|
||||
return buildAs(datasource.getName(), source);
|
||||
SqlNode source = getTable(sqlTable, scope, EngineType.fromString(dataModel.getType()));
|
||||
addSchema(scope, dataModel, sqlTable);
|
||||
return buildAs(dataModel.getName(), source);
|
||||
}
|
||||
|
||||
private static void addSchema(SqlValidatorScope scope, DataModel datasource, String table)
|
||||
@@ -150,7 +149,7 @@ public class DataSourceNode extends SemanticNode {
|
||||
return dataModelList.stream().map(d -> d.getName()).collect(Collectors.joining("_"));
|
||||
}
|
||||
|
||||
public static void getQueryDimensionMeasure(S2SemanticSchema schema,
|
||||
public static void getQueryDimensionMeasure(S2CalciteSchema schema,
|
||||
MetricQueryParam metricCommand, Set<String> queryDimension, List<String> measures) {
|
||||
queryDimension.addAll(metricCommand.getDimensions().stream()
|
||||
.map(d -> d.contains(Constants.DIMENSION_IDENTIFY)
|
||||
@@ -166,11 +165,10 @@ public class DataSourceNode extends SemanticNode {
|
||||
.forEach(m -> measures.add(m));
|
||||
}
|
||||
|
||||
public static void mergeQueryFilterDimensionMeasure(S2SemanticSchema schema,
|
||||
public static void mergeQueryFilterDimensionMeasure(S2CalciteSchema schema,
|
||||
MetricQueryParam metricCommand, Set<String> queryDimension, List<String> measures,
|
||||
SqlValidatorScope scope) throws Exception {
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
if (Objects.nonNull(metricCommand.getWhere()) && !metricCommand.getWhere().isEmpty()) {
|
||||
Set<String> filterConditions = new HashSet<>();
|
||||
FilterNode.getFilterField(parse(metricCommand.getWhere(), scope, engineType),
|
||||
@@ -193,8 +191,8 @@ public class DataSourceNode extends SemanticNode {
|
||||
}
|
||||
}
|
||||
|
||||
public static List<DataModel> getMatchDataSources(SqlValidatorScope scope,
|
||||
S2SemanticSchema schema, MetricQueryParam metricCommand) throws Exception {
|
||||
public static List<DataModel> getRelatedDataModels(SqlValidatorScope scope,
|
||||
S2CalciteSchema schema, MetricQueryParam metricCommand) throws Exception {
|
||||
List<DataModel> dataModels = new ArrayList<>();
|
||||
|
||||
// check by metric
|
||||
@@ -232,7 +230,7 @@ public class DataSourceNode extends SemanticNode {
|
||||
filterMeasure.addAll(sourceMeasure);
|
||||
filterMeasure.addAll(dimension);
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
mergeQueryFilterDimensionMeasure(schema, metricCommand, queryDimension, measures,
|
||||
scope);
|
||||
boolean isAllMatch = checkMatch(sourceMeasure, queryDimension, measures, dimension,
|
||||
@@ -302,7 +300,7 @@ public class DataSourceNode extends SemanticNode {
|
||||
}
|
||||
|
||||
private static List<DataModel> getLinkDataSourcesByJoinRelation(Set<String> queryDimension,
|
||||
List<String> measures, DataModel baseDataModel, S2SemanticSchema schema) {
|
||||
List<String> measures, DataModel baseDataModel, S2CalciteSchema schema) {
|
||||
Set<String> linkDataSourceName = new HashSet<>();
|
||||
List<DataModel> linkDataModels = new ArrayList<>();
|
||||
Set<String> before = new HashSet<>();
|
||||
@@ -387,7 +385,7 @@ public class DataSourceNode extends SemanticNode {
|
||||
|
||||
private static List<DataModel> getLinkDataSources(Set<String> baseIdentifiers,
|
||||
Set<String> queryDimension, List<String> measures, DataModel baseDataModel,
|
||||
S2SemanticSchema schema) {
|
||||
S2CalciteSchema schema) {
|
||||
Set<String> linkDataSourceName = new HashSet<>();
|
||||
List<DataModel> linkDataModels = new ArrayList<>();
|
||||
for (Map.Entry<String, DataModel> entry : schema.getDatasource().entrySet()) {
|
||||
@@ -1,13 +0,0 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql.node;
|
||||
|
||||
import lombok.Data;
|
||||
import org.apache.calcite.sql.SqlNode;
|
||||
|
||||
@Data
|
||||
public class JoinNode extends SemanticNode {
|
||||
|
||||
private SqlNode join;
|
||||
private SqlNode on;
|
||||
private SqlNode left;
|
||||
private SqlNode right;
|
||||
}
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql.node.extend;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql.node;
|
||||
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.ExtendNode;
|
||||
import org.apache.calcite.linq4j.Ord;
|
||||
import org.apache.calcite.sql.SqlCall;
|
||||
import org.apache.calcite.sql.SqlIdentifier;
|
||||
@@ -2,7 +2,7 @@ package com.tencent.supersonic.headless.core.translator.calcite.sql.node;
|
||||
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import lombok.Data;
|
||||
import org.apache.calcite.sql.SqlNode;
|
||||
import org.apache.calcite.sql.validate.SqlValidatorScope;
|
||||
@@ -30,7 +30,7 @@ public class MetricNode extends SemanticNode {
|
||||
return buildAs(metric.getName(), sqlNode);
|
||||
}
|
||||
|
||||
public static Boolean isMetricField(String name, S2SemanticSchema schema) {
|
||||
public static Boolean isMetricField(String name, S2CalciteSchema schema) {
|
||||
Optional<Metric> metric = schema.getMetrics().stream()
|
||||
.filter(m -> m.getName().equalsIgnoreCase(name)).findFirst();
|
||||
return metric.isPresent() && metric.get().getMetricTypeParams().isFieldMetric();
|
||||
|
||||
@@ -5,8 +5,8 @@ import com.tencent.supersonic.common.calcite.SemanticSqlDialect;
|
||||
import com.tencent.supersonic.common.calcite.SqlDialectFactory;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Constants;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.optimizer.FilterToGroupScanRule;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.FilterToGroupScanRule;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.calcite.plan.RelOptPlanner;
|
||||
import org.apache.calcite.plan.hep.HepPlanner;
|
||||
@@ -397,8 +397,8 @@ public abstract class SemanticNode {
|
||||
return parseInfo;
|
||||
}
|
||||
|
||||
public static SqlNode optimize(SqlValidatorScope scope, S2SemanticSchema schema,
|
||||
SqlNode sqlNode, EngineType engineType) {
|
||||
public static SqlNode optimize(SqlValidatorScope scope, S2CalciteSchema schema, SqlNode sqlNode,
|
||||
EngineType engineType) {
|
||||
try {
|
||||
HepProgramBuilder hepProgramBuilder = new HepProgramBuilder();
|
||||
SemanticSqlDialect sqlDialect = SqlDialectFactory.getSqlDialect(engineType);
|
||||
|
||||
@@ -5,8 +5,7 @@ import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Constants;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.DataModel;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.TableView;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.FilterNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.MetricNode;
|
||||
@@ -28,13 +27,12 @@ public class FilterRender extends Renderer {
|
||||
|
||||
@Override
|
||||
public void render(MetricQueryParam metricCommand, List<DataModel> dataModels,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
TableView tableView = super.tableView;
|
||||
SqlNode filterNode = null;
|
||||
List<String> queryMetrics = new ArrayList<>(metricCommand.getMetrics());
|
||||
List<String> queryDimensions = new ArrayList<>(metricCommand.getDimensions());
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
|
||||
if (metricCommand.getWhere() != null && !metricCommand.getWhere().isEmpty()) {
|
||||
filterNode = SemanticNode.parse(metricCommand.getWhere(), scope, engineType);
|
||||
|
||||
@@ -9,11 +9,10 @@ import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Identify;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.JoinRelation;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Materialization;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.TableView;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.AggFunctionNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataSourceNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataModelNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.FilterNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.IdentifyNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.MetricNode;
|
||||
@@ -49,10 +48,9 @@ public class JoinRender extends Renderer {
|
||||
|
||||
@Override
|
||||
public void render(MetricQueryParam metricCommand, List<DataModel> dataModels,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
String queryWhere = metricCommand.getWhere();
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
Set<String> whereFields = new HashSet<>();
|
||||
List<String> fieldWhere = new ArrayList<>();
|
||||
if (queryWhere != null && !queryWhere.isEmpty()) {
|
||||
@@ -62,7 +60,7 @@ public class JoinRender extends Renderer {
|
||||
}
|
||||
Set<String> queryAllDimension = new HashSet<>();
|
||||
List<String> measures = new ArrayList<>();
|
||||
DataSourceNode.getQueryDimensionMeasure(schema, metricCommand, queryAllDimension, measures);
|
||||
DataModelNode.getQueryDimensionMeasure(schema, metricCommand, queryAllDimension, measures);
|
||||
SqlNode left = null;
|
||||
TableView leftTable = null;
|
||||
TableView innerView = new TableView();
|
||||
@@ -145,11 +143,10 @@ public class JoinRender extends Renderer {
|
||||
|
||||
private void doMetric(Map<String, SqlNode> innerSelect, TableView filterView,
|
||||
List<String> queryMetrics, List<String> reqMetrics, DataModel dataModel,
|
||||
Set<String> sourceMeasure, SqlValidatorScope scope, S2SemanticSchema schema,
|
||||
Set<String> sourceMeasure, SqlValidatorScope scope, S2CalciteSchema schema,
|
||||
boolean nonAgg) throws Exception {
|
||||
String alias = Constants.JOIN_TABLE_PREFIX + dataModel.getName();
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
for (String m : reqMetrics) {
|
||||
if (getMatchMetric(schema, sourceMeasure, m, queryMetrics)) {
|
||||
MetricNode metricNode = buildMetricNode(m, dataModel, scope, schema, nonAgg, alias);
|
||||
@@ -181,11 +178,10 @@ public class JoinRender extends Renderer {
|
||||
|
||||
private void doDimension(Map<String, SqlNode> innerSelect, Set<String> filterDimension,
|
||||
List<String> queryDimension, List<String> reqDimensions, DataModel dataModel,
|
||||
Set<String> dimension, SqlValidatorScope scope, S2SemanticSchema schema)
|
||||
Set<String> dimension, SqlValidatorScope scope, S2CalciteSchema schema)
|
||||
throws Exception {
|
||||
String alias = Constants.JOIN_TABLE_PREFIX + dataModel.getName();
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
for (String d : reqDimensions) {
|
||||
if (getMatchDimension(schema, dimension, dataModel, d, queryDimension)) {
|
||||
if (d.contains(Constants.DIMENSION_IDENTIFY)) {
|
||||
@@ -208,7 +204,7 @@ public class JoinRender extends Renderer {
|
||||
.collect(Collectors.toSet());
|
||||
}
|
||||
|
||||
private boolean getMatchMetric(S2SemanticSchema schema, Set<String> sourceMeasure, String m,
|
||||
private boolean getMatchMetric(S2CalciteSchema schema, Set<String> sourceMeasure, String m,
|
||||
List<String> queryMetrics) {
|
||||
Optional<Metric> metric = schema.getMetrics().stream()
|
||||
.filter(mm -> mm.getName().equalsIgnoreCase(m)).findFirst();
|
||||
@@ -229,7 +225,7 @@ public class JoinRender extends Renderer {
|
||||
return isAdd;
|
||||
}
|
||||
|
||||
private boolean getMatchDimension(S2SemanticSchema schema, Set<String> sourceDimension,
|
||||
private boolean getMatchDimension(S2CalciteSchema schema, Set<String> sourceDimension,
|
||||
DataModel dataModel, String d, List<String> queryDimension) {
|
||||
String oriDimension = d;
|
||||
boolean isAdd = false;
|
||||
@@ -263,10 +259,9 @@ public class JoinRender extends Renderer {
|
||||
}
|
||||
|
||||
private SqlNode buildJoin(SqlNode left, TableView leftTable, TableView tableView,
|
||||
Map<String, String> before, DataModel dataModel, S2SemanticSchema schema,
|
||||
Map<String, String> before, DataModel dataModel, S2CalciteSchema schema,
|
||||
SqlValidatorScope scope) throws Exception {
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
SqlNode condition =
|
||||
getCondition(leftTable, tableView, dataModel, schema, scope, engineType);
|
||||
SqlLiteral sqlLiteral = SemanticNode.getJoinSqlLiteral("");
|
||||
@@ -298,7 +293,7 @@ public class JoinRender extends Renderer {
|
||||
}
|
||||
|
||||
private JoinRelation getMatchJoinRelation(Map<String, String> before, TableView tableView,
|
||||
S2SemanticSchema schema) {
|
||||
S2CalciteSchema schema) {
|
||||
JoinRelation matchJoinRelation = JoinRelation.builder().build();
|
||||
if (!CollectionUtils.isEmpty(schema.getJoinRelations())) {
|
||||
for (JoinRelation joinRelation : schema.getJoinRelations()) {
|
||||
@@ -338,7 +333,7 @@ public class JoinRender extends Renderer {
|
||||
}
|
||||
|
||||
private SqlNode getCondition(TableView left, TableView right, DataModel dataModel,
|
||||
S2SemanticSchema schema, SqlValidatorScope scope, EngineType engineType)
|
||||
S2CalciteSchema schema, SqlValidatorScope scope, EngineType engineType)
|
||||
throws Exception {
|
||||
|
||||
Set<String> selectLeft = SemanticNode.getSelect(left.getTable());
|
||||
@@ -413,7 +408,7 @@ public class JoinRender extends Renderer {
|
||||
}
|
||||
|
||||
private SqlNode getZipperCondition(TableView left, TableView right, DataModel dataModel,
|
||||
S2SemanticSchema schema, SqlValidatorScope scope) throws Exception {
|
||||
S2CalciteSchema schema, SqlValidatorScope scope) throws Exception {
|
||||
if (Materialization.TimePartType.ZIPPER.equals(left.getDataModel().getTimePartType())
|
||||
&& Materialization.TimePartType.ZIPPER
|
||||
.equals(right.getDataModel().getTimePartType())) {
|
||||
@@ -460,7 +455,7 @@ public class JoinRender extends Renderer {
|
||||
dateTime = partMetric.getAlias() + "." + partTime.get().getName();
|
||||
}
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
ArrayList<SqlNode> operandList =
|
||||
new ArrayList<>(Arrays.asList(SemanticNode.parse(endTime, scope, engineType),
|
||||
SemanticNode.parse(dateTime, scope, engineType)));
|
||||
|
||||
@@ -4,8 +4,7 @@ import com.tencent.supersonic.common.pojo.ColumnOrder;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.DataModel;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.TableView;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.MetricNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.SemanticNode;
|
||||
@@ -24,10 +23,9 @@ public class OutputRender extends Renderer {
|
||||
|
||||
@Override
|
||||
public void render(MetricQueryParam metricCommand, List<DataModel> dataModels,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
TableView selectDataSet = super.tableView;
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
for (String dimension : metricCommand.getDimensions()) {
|
||||
selectDataSet.getMeasure().add(SemanticNode.parse(dimension, scope, engineType));
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql;
|
||||
package com.tencent.supersonic.headless.core.translator.calcite.sql.render;
|
||||
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
@@ -7,7 +7,8 @@ import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Dimension;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Identify;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Measure;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.TableView;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.MeasureNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.MetricNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.SemanticNode;
|
||||
@@ -37,7 +38,7 @@ public abstract class Renderer {
|
||||
.findFirst();
|
||||
}
|
||||
|
||||
public static Optional<Metric> getMetricByName(String name, S2SemanticSchema schema) {
|
||||
public static Optional<Metric> getMetricByName(String name, S2CalciteSchema schema) {
|
||||
Optional<Metric> metric = schema.getMetrics().stream()
|
||||
.filter(m -> m.getName().equalsIgnoreCase(name)).findFirst();
|
||||
return metric;
|
||||
@@ -49,7 +50,7 @@ public abstract class Renderer {
|
||||
}
|
||||
|
||||
public static MetricNode buildMetricNode(String metric, DataModel datasource,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg, String alias)
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg, String alias)
|
||||
throws Exception {
|
||||
Optional<Metric> metricOpt = getMetricByName(metric, schema);
|
||||
MetricNode metricNode = new MetricNode();
|
||||
@@ -114,5 +115,5 @@ public abstract class Renderer {
|
||||
}
|
||||
|
||||
public abstract void render(MetricQueryParam metricCommand, List<DataModel> dataModels,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception;
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception;
|
||||
}
|
||||
@@ -9,10 +9,9 @@ import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Identify;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Materialization;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Measure;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.Renderer;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.TableView;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataSourceNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DataModelNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.DimensionNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.FilterNode;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.node.IdentifyNode;
|
||||
@@ -43,7 +42,7 @@ public class SourceRender extends Renderer {
|
||||
|
||||
public static TableView renderOne(String alias, List<String> fieldWheres,
|
||||
List<String> reqMetrics, List<String> reqDimensions, String queryWhere,
|
||||
DataModel datasource, SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg)
|
||||
DataModel datasource, SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg)
|
||||
throws Exception {
|
||||
|
||||
TableView dataSet = new TableView();
|
||||
@@ -96,7 +95,7 @@ public class SourceRender extends Renderer {
|
||||
output.setMeasure(SemanticNode.deduplicateNode(output.getMeasure()));
|
||||
dataSet.setMeasure(SemanticNode.deduplicateNode(dataSet.getMeasure()));
|
||||
|
||||
SqlNode tableNode = DataSourceNode.buildExtend(datasource, extendFields, scope);
|
||||
SqlNode tableNode = DataModelNode.buildExtend(datasource, extendFields, scope);
|
||||
dataSet.setTable(tableNode);
|
||||
output.setTable(
|
||||
SemanticNode.buildAs(Constants.DATASOURCE_TABLE_OUT_PREFIX + datasource.getName()
|
||||
@@ -107,11 +106,10 @@ public class SourceRender extends Renderer {
|
||||
|
||||
|
||||
private static void buildDimension(String alias, String dimension, DataModel datasource,
|
||||
S2SemanticSchema schema, boolean nonAgg, Map<String, String> extendFields,
|
||||
S2CalciteSchema schema, boolean nonAgg, Map<String, String> extendFields,
|
||||
TableView dataSet, TableView output, SqlValidatorScope scope) throws Exception {
|
||||
List<Dimension> dimensionList = schema.getDimension().get(datasource.getName());
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
boolean isAdd = false;
|
||||
if (!CollectionUtils.isEmpty(dimensionList)) {
|
||||
for (Dimension dim : dimensionList) {
|
||||
@@ -186,11 +184,10 @@ public class SourceRender extends Renderer {
|
||||
|
||||
private static List<SqlNode> getWhereMeasure(List<String> fields, List<String> queryMetrics,
|
||||
List<String> queryDimensions, Map<String, String> extendFields, DataModel datasource,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
Iterator<String> iterator = fields.iterator();
|
||||
List<SqlNode> whereNode = new ArrayList<>();
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
while (iterator.hasNext()) {
|
||||
String cur = iterator.next();
|
||||
if (queryDimensions.contains(cur) || queryMetrics.contains(cur)) {
|
||||
@@ -229,7 +226,7 @@ public class SourceRender extends Renderer {
|
||||
private static void mergeWhere(List<String> fields, TableView dataSet, TableView outputSet,
|
||||
List<String> queryMetrics, List<String> queryDimensions,
|
||||
Map<String, String> extendFields, DataModel datasource, SqlValidatorScope scope,
|
||||
S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
List<SqlNode> whereNode = getWhereMeasure(fields, queryMetrics, queryDimensions,
|
||||
extendFields, datasource, scope, schema, nonAgg);
|
||||
dataSet.getMeasure().addAll(whereNode);
|
||||
@@ -237,7 +234,7 @@ public class SourceRender extends Renderer {
|
||||
}
|
||||
|
||||
public static void whereDimMetric(List<String> fields, List<String> queryMetrics,
|
||||
List<String> queryDimensions, DataModel datasource, S2SemanticSchema schema,
|
||||
List<String> queryDimensions, DataModel datasource, S2CalciteSchema schema,
|
||||
Set<String> dimensions, Set<String> metrics) {
|
||||
for (String field : fields) {
|
||||
if (queryDimensions.contains(field) || queryMetrics.contains(field)) {
|
||||
@@ -252,7 +249,7 @@ public class SourceRender extends Renderer {
|
||||
}
|
||||
|
||||
private static void addField(String field, String oriField, DataModel datasource,
|
||||
S2SemanticSchema schema, Set<String> dimensions, Set<String> metrics) {
|
||||
S2CalciteSchema schema, Set<String> dimensions, Set<String> metrics) {
|
||||
Optional<Dimension> dimension = datasource.getDimensions().stream()
|
||||
.filter(d -> d.getName().equalsIgnoreCase(field)).findFirst();
|
||||
if (dimension.isPresent()) {
|
||||
@@ -292,7 +289,7 @@ public class SourceRender extends Renderer {
|
||||
}
|
||||
}
|
||||
|
||||
public static boolean isDimension(String name, DataModel datasource, S2SemanticSchema schema) {
|
||||
public static boolean isDimension(String name, DataModel datasource, S2CalciteSchema schema) {
|
||||
Optional<Dimension> dimension = datasource.getDimensions().stream()
|
||||
.filter(d -> d.getName().equalsIgnoreCase(name)).findFirst();
|
||||
if (dimension.isPresent()) {
|
||||
@@ -340,12 +337,11 @@ public class SourceRender extends Renderer {
|
||||
}
|
||||
|
||||
public void render(MetricQueryParam metricQueryParam, List<DataModel> dataModels,
|
||||
SqlValidatorScope scope, S2SemanticSchema schema, boolean nonAgg) throws Exception {
|
||||
SqlValidatorScope scope, S2CalciteSchema schema, boolean nonAgg) throws Exception {
|
||||
String queryWhere = metricQueryParam.getWhere();
|
||||
Set<String> whereFields = new HashSet<>();
|
||||
List<String> fieldWhere = new ArrayList<>();
|
||||
EngineType engineType =
|
||||
EngineType.fromString(schema.getSemanticModel().getDatabase().getType());
|
||||
EngineType engineType = EngineType.fromString(schema.getOntology().getDatabase().getType());
|
||||
if (queryWhere != null && !queryWhere.isEmpty()) {
|
||||
SqlNode sqlNode = SemanticNode.parse(queryWhere, scope, engineType);
|
||||
FilterNode.getFilterField(sqlNode, whereFields);
|
||||
|
||||
@@ -34,7 +34,6 @@ import com.tencent.supersonic.headless.core.cache.QueryCache;
|
||||
import com.tencent.supersonic.headless.core.executor.QueryExecutor;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
import com.tencent.supersonic.headless.core.translator.SemanticTranslator;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
|
||||
import com.tencent.supersonic.headless.core.utils.ComponentFactory;
|
||||
import com.tencent.supersonic.headless.server.annotation.S2DataPermission;
|
||||
import com.tencent.supersonic.headless.server.facade.service.SemanticLayerService;
|
||||
@@ -44,7 +43,6 @@ import com.tencent.supersonic.headless.server.service.DimensionService;
|
||||
import com.tencent.supersonic.headless.server.service.MetricService;
|
||||
import com.tencent.supersonic.headless.server.service.SchemaService;
|
||||
import com.tencent.supersonic.headless.server.utils.MetricDrillDownChecker;
|
||||
import com.tencent.supersonic.headless.server.utils.QueryReqConverter;
|
||||
import com.tencent.supersonic.headless.server.utils.QueryUtils;
|
||||
import com.tencent.supersonic.headless.server.utils.StatUtils;
|
||||
import lombok.SneakyThrows;
|
||||
@@ -68,7 +66,6 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
|
||||
private final StatUtils statUtils;
|
||||
private final QueryUtils queryUtils;
|
||||
private final QueryReqConverter queryReqConverter;
|
||||
private final SemanticSchemaManager semanticSchemaManager;
|
||||
private final DataSetService dataSetService;
|
||||
private final SchemaService schemaService;
|
||||
@@ -81,14 +78,13 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
private final List<QueryExecutor> queryExecutors = ComponentFactory.getQueryExecutors();
|
||||
|
||||
public S2SemanticLayerService(StatUtils statUtils, QueryUtils queryUtils,
|
||||
QueryReqConverter queryReqConverter, SemanticSchemaManager semanticSchemaManager,
|
||||
DataSetService dataSetService, SchemaService schemaService,
|
||||
SemanticTranslator semanticTranslator, MetricDrillDownChecker metricDrillDownChecker,
|
||||
SemanticSchemaManager semanticSchemaManager, DataSetService dataSetService,
|
||||
SchemaService schemaService, SemanticTranslator semanticTranslator,
|
||||
MetricDrillDownChecker metricDrillDownChecker,
|
||||
KnowledgeBaseService knowledgeBaseService, MetricService metricService,
|
||||
DimensionService dimensionService) {
|
||||
this.statUtils = statUtils;
|
||||
this.queryUtils = queryUtils;
|
||||
this.queryReqConverter = queryReqConverter;
|
||||
this.semanticSchemaManager = semanticSchemaManager;
|
||||
this.dataSetService = dataSetService;
|
||||
this.schemaService = schemaService;
|
||||
@@ -123,7 +119,6 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
statUtils.initStatInfo(queryReq, user);
|
||||
|
||||
// 2.query from cache
|
||||
|
||||
String cacheKey = queryCache.getCacheKey(queryReq);
|
||||
Object query = queryCache.query(queryReq, cacheKey);
|
||||
if (Objects.nonNull(query)) {
|
||||
@@ -137,16 +132,16 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
}
|
||||
StatUtils.get().setUseResultCache(false);
|
||||
|
||||
// 3 query
|
||||
// 3 translate query
|
||||
QueryStatement queryStatement = buildQueryStatement(queryReq, user);
|
||||
semanticTranslator.translate(queryStatement);
|
||||
|
||||
// Check whether the dimensions of the metric drill-down are correct temporarily,
|
||||
// add the abstraction of a validator later.
|
||||
metricDrillDownChecker.checkQuery(queryStatement);
|
||||
|
||||
// 4.execute query
|
||||
SemanticQueryResp queryResp = null;
|
||||
|
||||
// skip translation if already done.
|
||||
if (!queryStatement.isTranslated()) {
|
||||
semanticTranslator.translate(queryStatement);
|
||||
}
|
||||
queryPreCheck(queryStatement);
|
||||
|
||||
for (QueryExecutor queryExecutor : queryExecutors) {
|
||||
if (queryExecutor.accept(queryStatement)) {
|
||||
queryResp = queryExecutor.execute(queryStatement);
|
||||
@@ -155,7 +150,7 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
}
|
||||
}
|
||||
|
||||
// 4 reset cache and set stateInfo
|
||||
// 5.reset cache and set stateInfo
|
||||
Boolean setCacheSuccess = queryCache.put(cacheKey, queryResp);
|
||||
if (setCacheSuccess) {
|
||||
// if result is not null, update cache data
|
||||
@@ -186,7 +181,7 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
|
||||
List<String> dimensionValues = getDimensionValuesFromDict(dimensionValueReq, dataSetIds);
|
||||
|
||||
// If the search results are null, search dimensionValue from the database
|
||||
// try to query dimensionValue from the database.
|
||||
if (CollectionUtils.isEmpty(dimensionValues)) {
|
||||
return getDimensionValuesFromDb(dimensionValueReq, user);
|
||||
}
|
||||
@@ -219,9 +214,29 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
.map(MapResult::getName).collect(Collectors.toList());
|
||||
}
|
||||
|
||||
private SemanticQueryResp getDimensionValuesFromDb(DimensionValueReq dimensionValueReq,
|
||||
private SemanticQueryResp getDimensionValuesFromDb(DimensionValueReq queryDimValueReq,
|
||||
User user) {
|
||||
QuerySqlReq querySqlReq = buildQuerySqlReq(dimensionValueReq);
|
||||
QuerySqlReq querySqlReq = new QuerySqlReq();
|
||||
List<ModelResp> modelResps =
|
||||
schemaService.getModelList(Lists.newArrayList(queryDimValueReq.getModelId()));
|
||||
DimensionResp dimensionResp = schemaService.getDimension(queryDimValueReq.getBizName(),
|
||||
queryDimValueReq.getModelId());
|
||||
ModelResp modelResp = modelResps.get(0);
|
||||
String sql = String.format("select distinct %s from %s where 1=1", dimensionResp.getName(),
|
||||
modelResp.getName());
|
||||
List<Dim> timeDims = modelResp.getTimeDimension();
|
||||
if (CollectionUtils.isNotEmpty(timeDims)) {
|
||||
sql = String.format("%s and %s >= '%s' and %s <= '%s'", sql,
|
||||
TimeDimensionEnum.DAY.getName(), queryDimValueReq.getDateInfo().getStartDate(),
|
||||
TimeDimensionEnum.DAY.getName(), queryDimValueReq.getDateInfo().getEndDate());
|
||||
}
|
||||
if (StringUtils.isNotBlank(queryDimValueReq.getValue())) {
|
||||
sql += " AND " + queryDimValueReq.getBizName() + " LIKE '%"
|
||||
+ queryDimValueReq.getValue() + "%'";
|
||||
}
|
||||
querySqlReq.setModelIds(Sets.newHashSet(queryDimValueReq.getModelId()));
|
||||
querySqlReq.setSql(sql);
|
||||
|
||||
return queryByReq(querySqlReq, user);
|
||||
}
|
||||
|
||||
@@ -272,18 +287,16 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
return metricService.getMetrics(metaFilter);
|
||||
}
|
||||
|
||||
private QueryStatement buildQueryStatement(SemanticQueryReq semanticQueryReq, User user)
|
||||
throws Exception {
|
||||
private QueryStatement buildQueryStatement(SemanticQueryReq semanticQueryReq, User user) {
|
||||
QueryStatement queryStatement = null;
|
||||
if (semanticQueryReq instanceof QuerySqlReq) {
|
||||
queryStatement = buildSqlQueryStatement((QuerySqlReq) semanticQueryReq, user);
|
||||
}
|
||||
if (semanticQueryReq instanceof QueryStructReq) {
|
||||
queryStatement = buildStructQueryStatement((QueryStructReq) semanticQueryReq);
|
||||
queryStatement = buildStructQueryStatement(semanticQueryReq);
|
||||
}
|
||||
if (semanticQueryReq instanceof QueryMultiStructReq) {
|
||||
queryStatement =
|
||||
buildMultiStructQueryStatement((QueryMultiStructReq) semanticQueryReq, user);
|
||||
queryStatement = buildMultiStructQueryStatement((QueryMultiStructReq) semanticQueryReq);
|
||||
}
|
||||
if (Objects.nonNull(queryStatement) && Objects.nonNull(semanticQueryReq.getSqlInfo())
|
||||
&& StringUtils.isNotBlank(semanticQueryReq.getSqlInfo().getQuerySQL())) {
|
||||
@@ -300,77 +313,40 @@ public class S2SemanticLayerService implements SemanticLayerService {
|
||||
Long dataSetId = dataSetService.getDataSetIdFromSql(querySqlReq.getSql(), user);
|
||||
querySqlReq.setDataSetId(dataSetId);
|
||||
}
|
||||
SchemaFilterReq filter = buildSchemaFilterReq(querySqlReq);
|
||||
SemanticSchemaResp semanticSchemaResp = schemaService.fetchSemanticSchema(filter);
|
||||
return queryReqConverter.buildQueryStatement(querySqlReq, semanticSchemaResp);
|
||||
|
||||
QueryStatement queryStatement = buildStructQueryStatement(querySqlReq);
|
||||
queryStatement.setIsS2SQL(true);
|
||||
queryStatement.setSql(querySqlReq.getSql());
|
||||
return queryStatement;
|
||||
}
|
||||
|
||||
private QueryStatement buildStructQueryStatement(QueryStructReq queryStructReq) {
|
||||
SchemaFilterReq filter = buildSchemaFilterReq(queryStructReq);
|
||||
SemanticSchemaResp semanticSchemaResp = schemaService.fetchSemanticSchema(filter);
|
||||
private QueryStatement buildStructQueryStatement(SemanticQueryReq queryReq) {
|
||||
SchemaFilterReq schemaFilterReq = new SchemaFilterReq();
|
||||
schemaFilterReq.setDataSetId(queryReq.getDataSetId());
|
||||
schemaFilterReq.setModelIds(queryReq.getModelIds());
|
||||
SemanticSchemaResp semanticSchemaResp = schemaService.fetchSemanticSchema(schemaFilterReq);
|
||||
|
||||
QueryStatement queryStatement = new QueryStatement();
|
||||
QueryParam queryParam = new QueryParam();
|
||||
BeanUtils.copyProperties(queryStructReq, queryParam);
|
||||
BeanUtils.copyProperties(queryReq, queryParam);
|
||||
queryStatement.setQueryParam(queryParam);
|
||||
queryStatement.setIsS2SQL(false);
|
||||
queryStatement.setModelIds(queryReq.getModelIds());
|
||||
queryStatement.setEnableOptimize(queryUtils.enableOptimize());
|
||||
queryStatement.setDataSetId(queryStructReq.getDataSetId());
|
||||
queryStatement.setDataSetId(queryReq.getDataSetId());
|
||||
queryStatement.setSemanticSchemaResp(semanticSchemaResp);
|
||||
queryStatement.setOntology(semanticSchemaManager.buildOntology(semanticSchemaResp));
|
||||
return queryStatement;
|
||||
}
|
||||
|
||||
private QueryStatement buildMultiStructQueryStatement(QueryMultiStructReq queryMultiStructReq,
|
||||
User user) throws Exception {
|
||||
List<QueryStatement> sqlParsers = new ArrayList<>();
|
||||
private QueryStatement buildMultiStructQueryStatement(QueryMultiStructReq queryMultiStructReq) {
|
||||
List<QueryStatement> queryStatements = new ArrayList<>();
|
||||
for (QueryStructReq queryStructReq : queryMultiStructReq.getQueryStructReqs()) {
|
||||
QueryStatement queryStatement = buildQueryStatement(queryStructReq, user);
|
||||
Ontology ontology = queryStatement.getOntology();
|
||||
queryStatement.setModelIds(queryStructReq.getModelIds());
|
||||
queryStatement.setOntology(ontology);
|
||||
queryStatement.setEnableOptimize(queryUtils.enableOptimize());
|
||||
QueryStatement queryStatement = buildStructQueryStatement(queryStructReq);
|
||||
semanticTranslator.translate(queryStatement);
|
||||
sqlParsers.add(queryStatement);
|
||||
queryStatements.add(queryStatement);
|
||||
}
|
||||
log.info("multi sqlParser:{}", sqlParsers);
|
||||
return queryUtils.sqlParserUnion(queryMultiStructReq, sqlParsers);
|
||||
}
|
||||
|
||||
private SchemaFilterReq buildSchemaFilterReq(SemanticQueryReq semanticQueryReq) {
|
||||
SchemaFilterReq schemaFilterReq = new SchemaFilterReq();
|
||||
schemaFilterReq.setDataSetId(semanticQueryReq.getDataSetId());
|
||||
schemaFilterReq.setModelIds(semanticQueryReq.getModelIds());
|
||||
return schemaFilterReq;
|
||||
}
|
||||
|
||||
private QuerySqlReq buildQuerySqlReq(DimensionValueReq queryDimValueReq) {
|
||||
QuerySqlReq querySqlReq = new QuerySqlReq();
|
||||
List<ModelResp> modelResps =
|
||||
schemaService.getModelList(Lists.newArrayList(queryDimValueReq.getModelId()));
|
||||
DimensionResp dimensionResp = schemaService.getDimension(queryDimValueReq.getBizName(),
|
||||
queryDimValueReq.getModelId());
|
||||
ModelResp modelResp = modelResps.get(0);
|
||||
String sql = String.format("select distinct %s from %s where 1=1", dimensionResp.getName(),
|
||||
modelResp.getName());
|
||||
List<Dim> timeDims = modelResp.getTimeDimension();
|
||||
if (CollectionUtils.isNotEmpty(timeDims)) {
|
||||
sql = String.format("%s and %s >= '%s' and %s <= '%s'", sql,
|
||||
TimeDimensionEnum.DAY.getName(), queryDimValueReq.getDateInfo().getStartDate(),
|
||||
TimeDimensionEnum.DAY.getName(), queryDimValueReq.getDateInfo().getEndDate());
|
||||
}
|
||||
if (StringUtils.isNotBlank(queryDimValueReq.getValue())) {
|
||||
sql += " AND " + queryDimValueReq.getBizName() + " LIKE '%"
|
||||
+ queryDimValueReq.getValue() + "%'";
|
||||
}
|
||||
querySqlReq.setModelIds(Sets.newHashSet(queryDimValueReq.getModelId()));
|
||||
querySqlReq.setSql(sql);
|
||||
return querySqlReq;
|
||||
}
|
||||
|
||||
private void queryPreCheck(QueryStatement queryStatement) {
|
||||
// Check whether the dimensions of the metric drill-down are correct temporarily,
|
||||
// add the abstraction of a validator later.
|
||||
metricDrillDownChecker.checkQuery(queryStatement);
|
||||
log.info("Union multiple query statements:{}", queryStatements);
|
||||
return queryUtils.unionAll(queryMultiStructReq, queryStatements);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -19,7 +19,7 @@ import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Measure;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Metric;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.MetricTypeParams;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.s2sql.Ontology;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.server.pojo.yaml.DataModelYamlTpl;
|
||||
import com.tencent.supersonic.headless.server.pojo.yaml.DimensionTimeTypeParamsTpl;
|
||||
import com.tencent.supersonic.headless.server.pojo.yaml.DimensionYamlTpl;
|
||||
@@ -59,7 +59,6 @@ public class SemanticSchemaManager {
|
||||
|
||||
public Ontology buildOntology(SemanticSchemaResp semanticSchemaResp) {
|
||||
Ontology ontology = new Ontology();
|
||||
ontology.setSchemaKey(semanticSchemaResp.getSchemaKey());
|
||||
Map<String, List<DimensionYamlTpl>> dimensionYamlTpls = new HashMap<>();
|
||||
List<DataModelYamlTpl> dataModelYamlTpls = new ArrayList<>();
|
||||
List<MetricYamlTpl> metricYamlTpls = new ArrayList<>();
|
||||
@@ -177,7 +176,7 @@ public class SemanticSchemaManager {
|
||||
}
|
||||
|
||||
public static DataModel getDatasource(final DataModelYamlTpl d) {
|
||||
DataModel datasource = DataModel.builder().id(d.getId()).sourceId(d.getSourceId())
|
||||
DataModel datasource = DataModel.builder().id(d.getId()).modelId(d.getSourceId())
|
||||
.type(d.getType()).sqlQuery(d.getSqlQuery()).name(d.getName())
|
||||
.tableQuery(d.getTableQuery()).identifiers(getIdentify(d.getIdentifiers()))
|
||||
.measures(getMeasureParams(d.getMeasures()))
|
||||
@@ -354,13 +353,13 @@ public class SemanticSchemaManager {
|
||||
return joinRelations;
|
||||
}
|
||||
|
||||
public static void update(S2SemanticSchema schema, List<Metric> metric) throws Exception {
|
||||
public static void update(S2CalciteSchema schema, List<Metric> metric) throws Exception {
|
||||
if (schema != null) {
|
||||
updateMetric(metric, schema.getMetrics());
|
||||
}
|
||||
}
|
||||
|
||||
public static void update(S2SemanticSchema schema, DataModel datasourceYamlTpl)
|
||||
public static void update(S2CalciteSchema schema, DataModel datasourceYamlTpl)
|
||||
throws Exception {
|
||||
if (schema != null) {
|
||||
String dataSourceName = datasourceYamlTpl.getName();
|
||||
@@ -375,7 +374,7 @@ public class SemanticSchemaManager {
|
||||
}
|
||||
}
|
||||
|
||||
public static void update(S2SemanticSchema schema, String datasourceBizName,
|
||||
public static void update(S2CalciteSchema schema, String datasourceBizName,
|
||||
List<Dimension> dimensionYamlTpls) throws Exception {
|
||||
if (schema != null) {
|
||||
Optional<Map.Entry<String, List<Dimension>>> datasourceYamlTplMap = schema
|
||||
|
||||
@@ -32,7 +32,7 @@ public class MetricDrillDownChecker {
|
||||
|
||||
public void checkQuery(QueryStatement queryStatement) {
|
||||
SemanticSchemaResp semanticSchemaResp = queryStatement.getSemanticSchemaResp();
|
||||
String sql = queryStatement.getDataSetQueryParam().getSql();
|
||||
String sql = queryStatement.getSql();
|
||||
if (StringUtils.isBlank(sql)) {
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -1,378 +0,0 @@
|
||||
package com.tencent.supersonic.headless.server.utils;
|
||||
|
||||
import com.tencent.supersonic.common.jsqlparser.SqlRemoveHelper;
|
||||
import com.tencent.supersonic.common.jsqlparser.SqlReplaceHelper;
|
||||
import com.tencent.supersonic.common.jsqlparser.SqlSelectFunctionHelper;
|
||||
import com.tencent.supersonic.common.jsqlparser.SqlSelectHelper;
|
||||
import com.tencent.supersonic.common.pojo.Aggregator;
|
||||
import com.tencent.supersonic.common.pojo.Constants;
|
||||
import com.tencent.supersonic.common.pojo.enums.AggOperatorEnum;
|
||||
import com.tencent.supersonic.common.pojo.enums.EngineType;
|
||||
import com.tencent.supersonic.common.pojo.enums.QueryType;
|
||||
import com.tencent.supersonic.common.pojo.enums.TimeDimensionEnum;
|
||||
import com.tencent.supersonic.headless.api.pojo.Measure;
|
||||
import com.tencent.supersonic.headless.api.pojo.MetricTable;
|
||||
import com.tencent.supersonic.headless.api.pojo.QueryParam;
|
||||
import com.tencent.supersonic.headless.api.pojo.SchemaItem;
|
||||
import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
|
||||
import com.tencent.supersonic.headless.api.pojo.enums.MetricType;
|
||||
import com.tencent.supersonic.headless.api.pojo.request.QuerySqlReq;
|
||||
import com.tencent.supersonic.headless.api.pojo.request.QueryStructReq;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.DatabaseResp;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.DimSchemaResp;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.MetricResp;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.MetricSchemaResp;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.ModelResp;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.SemanticSchemaResp;
|
||||
import com.tencent.supersonic.headless.core.adaptor.db.DbAdaptor;
|
||||
import com.tencent.supersonic.headless.core.adaptor.db.DbAdaptorFactory;
|
||||
import com.tencent.supersonic.headless.core.pojo.DataSetQueryParam;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
import com.tencent.supersonic.headless.core.utils.SqlGenerateUtils;
|
||||
import com.tencent.supersonic.headless.server.manager.SemanticSchemaManager;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.commons.lang3.tuple.Pair;
|
||||
import org.springframework.beans.BeanUtils;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.stereotype.Component;
|
||||
import org.springframework.util.CollectionUtils;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Comparator;
|
||||
import java.util.HashMap;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Objects;
|
||||
import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
@Component
|
||||
@Slf4j
|
||||
public class QueryReqConverter {
|
||||
|
||||
@Autowired
|
||||
private QueryStructUtils queryStructUtils;
|
||||
|
||||
@Autowired
|
||||
private SqlGenerateUtils sqlGenerateUtils;
|
||||
|
||||
@Autowired
|
||||
private QueryUtils queryUtils;
|
||||
|
||||
@Autowired
|
||||
private SemanticSchemaManager semanticSchemaManager;
|
||||
|
||||
public QueryStatement buildQueryStatement(QuerySqlReq querySQLReq,
|
||||
SemanticSchemaResp semanticSchemaResp) {
|
||||
|
||||
if (semanticSchemaResp == null) {
|
||||
return new QueryStatement();
|
||||
}
|
||||
// 1.convert name to bizName
|
||||
convertNameToBizName(querySQLReq, semanticSchemaResp);
|
||||
// 2.functionName corrector
|
||||
functionNameCorrector(querySQLReq, semanticSchemaResp);
|
||||
// 3.correct tableName
|
||||
correctTableName(querySQLReq);
|
||||
// 4.remove Underscores
|
||||
querySQLReq.setSql(SqlRemoveHelper.removeUnderscores(querySQLReq.getSql()));
|
||||
|
||||
String tableName = SqlSelectHelper.getTableName(querySQLReq.getSql());
|
||||
if (StringUtils.isEmpty(tableName)) {
|
||||
return new QueryStatement();
|
||||
}
|
||||
// correct order item is same as agg alias
|
||||
String reqSql = querySQLReq.getSql();
|
||||
querySQLReq.setSql(SqlReplaceHelper.replaceAggAliasOrderItem(querySQLReq.getSql()));
|
||||
log.debug("replaceOrderAggSameAlias {} -> {}", reqSql, querySQLReq.getSql());
|
||||
// 5.build MetricTables
|
||||
List<String> allFields = SqlSelectHelper.getAllSelectFields(querySQLReq.getSql());
|
||||
List<MetricSchemaResp> metricSchemas = getMetrics(semanticSchemaResp, allFields);
|
||||
List<String> metrics =
|
||||
metricSchemas.stream().map(m -> m.getBizName()).collect(Collectors.toList());
|
||||
QueryStructReq queryStructReq = new QueryStructReq();
|
||||
|
||||
MetricTable metricTable = new MetricTable();
|
||||
metricTable.getMetrics().addAll(metrics);
|
||||
Set<String> dimensions = getDimensions(semanticSchemaResp, allFields);
|
||||
metricTable.getDimensions().addAll(dimensions);
|
||||
metricTable.setAlias(tableName.toLowerCase());
|
||||
// if metric empty , fill model default
|
||||
if (CollectionUtils.isEmpty(metricTable.getMetrics())) {
|
||||
metricTable.getMetrics().add(sqlGenerateUtils.generateInternalMetricName(
|
||||
getDefaultModel(semanticSchemaResp, metricTable.getDimensions())));
|
||||
} else {
|
||||
queryStructReq.setAggregators(metricTable.getMetrics().stream()
|
||||
.map(m -> new Aggregator(m, AggOperatorEnum.UNKNOWN))
|
||||
.collect(Collectors.toList()));
|
||||
}
|
||||
AggOption aggOption = getAggOption(querySQLReq, metricSchemas);
|
||||
metricTable.setAggOption(aggOption);
|
||||
List<MetricTable> tables = new ArrayList<>();
|
||||
tables.add(metricTable);
|
||||
// 6.build ParseSqlReq
|
||||
DataSetQueryParam result = new DataSetQueryParam();
|
||||
BeanUtils.copyProperties(querySQLReq, result);
|
||||
|
||||
result.setTables(tables);
|
||||
DatabaseResp database = semanticSchemaResp.getDatabaseResp();
|
||||
if (!sqlGenerateUtils.isSupportWith(EngineType.fromString(database.getType().toUpperCase()),
|
||||
database.getVersion())) {
|
||||
result.setSupportWith(false);
|
||||
result.setWithAlias(false);
|
||||
}
|
||||
// 7. do deriveMetric
|
||||
generateDerivedMetric(semanticSchemaResp, aggOption, result);
|
||||
|
||||
// 8.physicalSql by ParseSqlReq
|
||||
queryStructReq.setDateInfo(queryStructUtils.getDateConfBySql(querySQLReq.getSql()));
|
||||
queryStructReq.setDataSetId(querySQLReq.getDataSetId());
|
||||
queryStructReq.setQueryType(getQueryType(aggOption));
|
||||
log.debug("QueryReqConverter queryStructReq[{}]", queryStructReq);
|
||||
QueryParam queryParam = new QueryParam();
|
||||
BeanUtils.copyProperties(queryStructReq, queryParam);
|
||||
|
||||
QueryStatement queryStatement = new QueryStatement();
|
||||
queryStatement.setQueryParam(queryParam);
|
||||
queryStatement.setDataSetQueryParam(result);
|
||||
queryStatement.setIsS2SQL(true);
|
||||
queryStatement.setMinMaxTime(queryStructUtils.getBeginEndTime(queryStructReq));
|
||||
queryStatement.setDataSetId(querySQLReq.getDataSetId());
|
||||
queryStatement.setLimit(querySQLReq.getLimit());
|
||||
queryStatement.setModelIds(querySQLReq.getModelIds());
|
||||
queryStatement.setEnableOptimize(queryUtils.enableOptimize());
|
||||
queryStatement.setSemanticSchemaResp(semanticSchemaResp);
|
||||
queryStatement.setOntology(semanticSchemaManager.buildOntology(semanticSchemaResp));
|
||||
|
||||
return queryStatement;
|
||||
}
|
||||
|
||||
private AggOption getAggOption(QuerySqlReq databaseReq, List<MetricSchemaResp> metricSchemas) {
|
||||
String sql = databaseReq.getSql();
|
||||
if (!SqlSelectFunctionHelper.hasAggregateFunction(sql) && !SqlSelectHelper.hasGroupBy(sql)
|
||||
&& !SqlSelectHelper.hasWith(sql) && !SqlSelectHelper.hasSubSelect(sql)) {
|
||||
log.debug("getAggOption simple sql set to DEFAULT");
|
||||
return AggOption.DEFAULT;
|
||||
}
|
||||
// if there is no group by in S2SQL,set MetricTable's aggOption to "NATIVE"
|
||||
// if there is count() in S2SQL,set MetricTable's aggOption to "NATIVE"
|
||||
if (!SqlSelectFunctionHelper.hasAggregateFunction(sql)
|
||||
|| SqlSelectFunctionHelper.hasFunction(sql, "count")
|
||||
|| SqlSelectFunctionHelper.hasFunction(sql, "count_distinct")) {
|
||||
return AggOption.OUTER;
|
||||
}
|
||||
if (databaseReq.isInnerLayerNative()) {
|
||||
return AggOption.NATIVE;
|
||||
}
|
||||
if (SqlSelectHelper.hasSubSelect(sql) || SqlSelectHelper.hasWith(sql)
|
||||
|| SqlSelectHelper.hasGroupBy(sql)) {
|
||||
return AggOption.OUTER;
|
||||
}
|
||||
long defaultAggNullCnt = metricSchemas.stream().filter(
|
||||
m -> Objects.isNull(m.getDefaultAgg()) || StringUtils.isBlank(m.getDefaultAgg()))
|
||||
.count();
|
||||
if (defaultAggNullCnt > 0) {
|
||||
log.debug("getAggOption find null defaultAgg metric set to NATIVE");
|
||||
return AggOption.OUTER;
|
||||
}
|
||||
return AggOption.DEFAULT;
|
||||
}
|
||||
|
||||
private void convertNameToBizName(QuerySqlReq querySqlReq,
|
||||
SemanticSchemaResp semanticSchemaResp) {
|
||||
Map<String, String> fieldNameToBizNameMap = getFieldNameToBizNameMap(semanticSchemaResp);
|
||||
String sql = querySqlReq.getSql();
|
||||
log.debug("dataSetId:{},convert name to bizName before:{}", querySqlReq.getDataSetId(),
|
||||
sql);
|
||||
sql = SqlReplaceHelper.replaceSqlByPositions(sql);
|
||||
log.debug("replaceSqlByPositions:{}", sql);
|
||||
String replaceFields = SqlReplaceHelper.replaceFields(sql, fieldNameToBizNameMap, true);
|
||||
log.debug("dataSetId:{},convert name to bizName after:{}", querySqlReq.getDataSetId(),
|
||||
replaceFields);
|
||||
querySqlReq.setSql(replaceFields);
|
||||
}
|
||||
|
||||
private Set<String> getDimensions(SemanticSchemaResp semanticSchemaResp,
|
||||
List<String> allFields) {
|
||||
Map<String, String> dimensionLowerToNameMap = semanticSchemaResp.getDimensions().stream()
|
||||
.collect(Collectors.toMap(entry -> entry.getBizName().toLowerCase(),
|
||||
SchemaItem::getBizName, (k1, k2) -> k1));
|
||||
Map<String, String> internalLowerToNameMap = QueryStructUtils.internalCols.stream()
|
||||
.collect(Collectors.toMap(String::toLowerCase, a -> a));
|
||||
dimensionLowerToNameMap.putAll(internalLowerToNameMap);
|
||||
return allFields.stream()
|
||||
.filter(entry -> dimensionLowerToNameMap.containsKey(entry.toLowerCase()))
|
||||
.map(entry -> dimensionLowerToNameMap.get(entry.toLowerCase()))
|
||||
.collect(Collectors.toSet());
|
||||
}
|
||||
|
||||
private List<MetricSchemaResp> getMetrics(SemanticSchemaResp semanticSchemaResp,
|
||||
List<String> allFields) {
|
||||
Map<String, MetricSchemaResp> metricLowerToNameMap =
|
||||
semanticSchemaResp.getMetrics().stream().collect(Collectors
|
||||
.toMap(entry -> entry.getBizName().toLowerCase(), entry -> entry));
|
||||
return allFields.stream()
|
||||
.filter(entry -> metricLowerToNameMap.containsKey(entry.toLowerCase()))
|
||||
.map(entry -> metricLowerToNameMap.get(entry.toLowerCase()))
|
||||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
private void functionNameCorrector(QuerySqlReq databaseReq,
|
||||
SemanticSchemaResp semanticSchemaResp) {
|
||||
DatabaseResp database = semanticSchemaResp.getDatabaseResp();
|
||||
if (Objects.isNull(database) || Objects.isNull(database.getType())) {
|
||||
return;
|
||||
}
|
||||
String type = database.getType();
|
||||
DbAdaptor engineAdaptor = DbAdaptorFactory.getEngineAdaptor(type.toLowerCase());
|
||||
if (Objects.nonNull(engineAdaptor)) {
|
||||
String functionNameCorrector =
|
||||
engineAdaptor.functionNameCorrector(databaseReq.getSql());
|
||||
databaseReq.setSql(functionNameCorrector);
|
||||
}
|
||||
}
|
||||
|
||||
protected Map<String, String> getFieldNameToBizNameMap(SemanticSchemaResp semanticSchemaResp) {
|
||||
// support fieldName and field alias to bizName
|
||||
Map<String, String> dimensionResults = semanticSchemaResp.getDimensions().stream().flatMap(
|
||||
entry -> getPairStream(entry.getAlias(), entry.getName(), entry.getBizName()))
|
||||
.collect(Collectors.toMap(Pair::getLeft, Pair::getRight, (k1, k2) -> k1));
|
||||
|
||||
Map<String, String> metricResults = semanticSchemaResp.getMetrics().stream().flatMap(
|
||||
entry -> getPairStream(entry.getAlias(), entry.getName(), entry.getBizName()))
|
||||
.collect(Collectors.toMap(Pair::getLeft, Pair::getRight, (k1, k2) -> k1));
|
||||
|
||||
dimensionResults.putAll(TimeDimensionEnum.getChNameToNameMap());
|
||||
dimensionResults.putAll(TimeDimensionEnum.getNameToNameMap());
|
||||
dimensionResults.putAll(metricResults);
|
||||
return dimensionResults;
|
||||
}
|
||||
|
||||
private Stream<Pair<String, String>> getPairStream(String aliasStr, String name,
|
||||
String bizName) {
|
||||
Set<Pair<String, String>> elements = new HashSet<>();
|
||||
elements.add(Pair.of(name, bizName));
|
||||
if (StringUtils.isNotBlank(aliasStr)) {
|
||||
List<String> aliasList = SchemaItem.getAliasList(aliasStr);
|
||||
for (String alias : aliasList) {
|
||||
elements.add(Pair.of(alias, bizName));
|
||||
}
|
||||
}
|
||||
return elements.stream();
|
||||
}
|
||||
|
||||
public void correctTableName(QuerySqlReq querySqlReq) {
|
||||
String sql = querySqlReq.getSql();
|
||||
sql = SqlReplaceHelper.replaceTable(sql,
|
||||
Constants.TABLE_PREFIX + querySqlReq.getDataSetId());
|
||||
log.debug("correctTableName after:{}", sql);
|
||||
querySqlReq.setSql(sql);
|
||||
}
|
||||
|
||||
private QueryType getQueryType(AggOption aggOption) {
|
||||
boolean isAgg = AggOption.isAgg(aggOption);
|
||||
QueryType queryType = QueryType.DETAIL;
|
||||
if (isAgg) {
|
||||
queryType = QueryType.AGGREGATE;
|
||||
}
|
||||
return queryType;
|
||||
}
|
||||
|
||||
private void generateDerivedMetric(SemanticSchemaResp semanticSchemaResp, AggOption aggOption,
|
||||
DataSetQueryParam viewQueryParam) {
|
||||
String sql = viewQueryParam.getSql();
|
||||
for (MetricTable metricTable : viewQueryParam.getTables()) {
|
||||
Set<String> measures = new HashSet<>();
|
||||
Map<String, String> replaces = generateDerivedMetric(semanticSchemaResp, aggOption,
|
||||
metricTable.getMetrics(), metricTable.getDimensions(), measures);
|
||||
|
||||
if (!CollectionUtils.isEmpty(replaces)) {
|
||||
// metricTable sql use measures replace metric
|
||||
sql = SqlReplaceHelper.replaceSqlByExpression(sql, replaces);
|
||||
metricTable.setAggOption(AggOption.NATIVE);
|
||||
// metricTable use measures replace metric
|
||||
if (!CollectionUtils.isEmpty(measures)) {
|
||||
metricTable.setMetrics(new ArrayList<>(measures));
|
||||
} else {
|
||||
// empty measure , fill default
|
||||
metricTable.setMetrics(new ArrayList<>());
|
||||
metricTable.getMetrics().add(sqlGenerateUtils.generateInternalMetricName(
|
||||
getDefaultModel(semanticSchemaResp, metricTable.getDimensions())));
|
||||
}
|
||||
}
|
||||
}
|
||||
viewQueryParam.setSql(sql);
|
||||
}
|
||||
|
||||
private Map<String, String> generateDerivedMetric(SemanticSchemaResp semanticSchemaResp,
|
||||
AggOption aggOption, List<String> metrics, List<String> dimensions,
|
||||
Set<String> measures) {
|
||||
Map<String, String> result = new HashMap<>();
|
||||
List<MetricSchemaResp> metricResps = semanticSchemaResp.getMetrics();
|
||||
List<DimSchemaResp> dimensionResps = semanticSchemaResp.getDimensions();
|
||||
|
||||
// Check if any metric is derived
|
||||
boolean hasDerivedMetrics =
|
||||
metricResps.stream().anyMatch(m -> metrics.contains(m.getBizName()) && MetricType
|
||||
.isDerived(m.getMetricDefineType(), m.getMetricDefineByMeasureParams()));
|
||||
if (!hasDerivedMetrics) {
|
||||
return result;
|
||||
}
|
||||
|
||||
log.debug("begin to generateDerivedMetric {} [{}]", aggOption, metrics);
|
||||
|
||||
Set<String> allFields = new HashSet<>();
|
||||
Map<String, Measure> allMeasures = new HashMap<>();
|
||||
semanticSchemaResp.getModelResps().forEach(modelResp -> {
|
||||
allFields.addAll(modelResp.getFieldList());
|
||||
if (modelResp.getModelDetail().getMeasures() != null) {
|
||||
modelResp.getModelDetail().getMeasures()
|
||||
.forEach(measure -> allMeasures.put(measure.getBizName(), measure));
|
||||
}
|
||||
});
|
||||
|
||||
Set<String> derivedDimensions = new HashSet<>();
|
||||
Set<String> derivedMetrics = new HashSet<>();
|
||||
Map<String, String> visitedMetrics = new HashMap<>();
|
||||
|
||||
for (MetricResp metricResp : metricResps) {
|
||||
if (metrics.contains(metricResp.getBizName())) {
|
||||
boolean isDerived = MetricType.isDerived(metricResp.getMetricDefineType(),
|
||||
metricResp.getMetricDefineByMeasureParams());
|
||||
if (isDerived) {
|
||||
String expr = sqlGenerateUtils.generateDerivedMetric(metricResps, allFields,
|
||||
allMeasures, dimensionResps, sqlGenerateUtils.getExpr(metricResp),
|
||||
metricResp.getMetricDefineType(), aggOption, visitedMetrics,
|
||||
derivedMetrics, derivedDimensions);
|
||||
result.put(metricResp.getBizName(), expr);
|
||||
log.debug("derived metric {}->{}", metricResp.getBizName(), expr);
|
||||
} else {
|
||||
measures.add(metricResp.getBizName());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
measures.addAll(derivedMetrics);
|
||||
derivedDimensions.stream().filter(dimension -> !dimensions.contains(dimension))
|
||||
.forEach(dimensions::add);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
private String getDefaultModel(SemanticSchemaResp semanticSchemaResp, List<String> dimensions) {
|
||||
if (!CollectionUtils.isEmpty(dimensions)) {
|
||||
Map<String, Long> modelMatchCnt = new HashMap<>();
|
||||
for (ModelResp modelResp : semanticSchemaResp.getModelResps()) {
|
||||
modelMatchCnt.put(modelResp.getBizName(), modelResp.getModelDetail().getDimensions()
|
||||
.stream().filter(d -> dimensions.contains(d.getBizName())).count());
|
||||
}
|
||||
return modelMatchCnt.entrySet().stream()
|
||||
.sorted(Map.Entry.comparingByValue(Comparator.reverseOrder()))
|
||||
.map(m -> m.getKey()).findFirst().orElse("");
|
||||
}
|
||||
return semanticSchemaResp.getModelResps().get(0).getBizName();
|
||||
}
|
||||
}
|
||||
@@ -140,15 +140,15 @@ public class QueryUtils {
|
||||
return null;
|
||||
}
|
||||
|
||||
public QueryStatement sqlParserUnion(QueryMultiStructReq queryMultiStructCmd,
|
||||
List<QueryStatement> sqlParsers) {
|
||||
public QueryStatement unionAll(QueryMultiStructReq queryMultiStructCmd,
|
||||
List<QueryStatement> queryStatements) {
|
||||
QueryStatement sqlParser = new QueryStatement();
|
||||
StringBuilder unionSqlBuilder = new StringBuilder();
|
||||
for (int i = 0; i < sqlParsers.size(); i++) {
|
||||
for (int i = 0; i < queryStatements.size(); i++) {
|
||||
String selectStr = SqlGenerateUtils
|
||||
.getUnionSelect(queryMultiStructCmd.getQueryStructReqs().get(i));
|
||||
unionSqlBuilder.append(String.format("select %s from ( %s ) sub_sql_%s", selectStr,
|
||||
sqlParsers.get(i).getSql(), i));
|
||||
queryStatements.get(i).getSql(), i));
|
||||
unionSqlBuilder.append(UNIONALL);
|
||||
}
|
||||
String unionSql = unionSqlBuilder.substring(0,
|
||||
|
||||
@@ -6,8 +6,8 @@ import com.tencent.supersonic.headless.api.pojo.enums.AggOption;
|
||||
import com.tencent.supersonic.headless.api.pojo.response.SqlParserResp;
|
||||
import com.tencent.supersonic.headless.core.pojo.MetricQueryParam;
|
||||
import com.tencent.supersonic.headless.core.pojo.QueryStatement;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.planner.AggPlanner;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.schema.S2SemanticSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.S2CalciteSchema;
|
||||
import com.tencent.supersonic.headless.core.translator.calcite.sql.SqlBuilder;
|
||||
import com.tencent.supersonic.headless.server.manager.SemanticSchemaManager;
|
||||
import com.tencent.supersonic.headless.server.pojo.yaml.DataModelYamlTpl;
|
||||
import com.tencent.supersonic.headless.server.pojo.yaml.DimensionTimeTypeParamsTpl;
|
||||
@@ -20,16 +20,12 @@ import lombok.extern.slf4j.Slf4j;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
@Slf4j
|
||||
class HeadlessParserServiceTest {
|
||||
|
||||
private static Map<String, S2SemanticSchema> headlessSchemaMap = new HashMap<>();
|
||||
|
||||
public static SqlParserResp parser(S2SemanticSchema semanticSchema,
|
||||
public static SqlParserResp parser(S2CalciteSchema semanticSchema,
|
||||
MetricQueryParam metricQueryParam, boolean isAgg) {
|
||||
SqlParserResp sqlParser = new SqlParserResp();
|
||||
try {
|
||||
@@ -37,14 +33,13 @@ class HeadlessParserServiceTest {
|
||||
sqlParser.setErrMsg("headlessSchema not found");
|
||||
return sqlParser;
|
||||
}
|
||||
AggPlanner aggBuilder = new AggPlanner(semanticSchema);
|
||||
SqlBuilder aggBuilder = new SqlBuilder(semanticSchema);
|
||||
QueryStatement queryStatement = new QueryStatement();
|
||||
queryStatement.setMetricQueryParam(metricQueryParam);
|
||||
aggBuilder.plan(queryStatement, AggOption.getAggregation(!isAgg));
|
||||
EngineType engineType = EngineType
|
||||
.fromString(semanticSchema.getSemanticModel().getDatabase().getType());
|
||||
aggBuilder.build(queryStatement, AggOption.getAggregation(!isAgg));
|
||||
EngineType engineType =
|
||||
EngineType.fromString(semanticSchema.getOntology().getDatabase().getType());
|
||||
sqlParser.setSql(aggBuilder.getSql(engineType));
|
||||
sqlParser.setSourceId(aggBuilder.getSourceId());
|
||||
} catch (Exception e) {
|
||||
sqlParser.setErrMsg(e.getMessage());
|
||||
log.error("parser error metricQueryReq[{}] error [{}]", metricQueryParam, e);
|
||||
@@ -122,7 +117,7 @@ class HeadlessParserServiceTest {
|
||||
identify.setType("primary");
|
||||
identifies.add(identify);
|
||||
datasource.setIdentifiers(identifies);
|
||||
S2SemanticSchema semanticSchema = S2SemanticSchema.newBuilder("1").build();
|
||||
S2CalciteSchema semanticSchema = S2CalciteSchema.builder().build();
|
||||
|
||||
SemanticSchemaManager.update(semanticSchema,
|
||||
SemanticSchemaManager.getDatasource(datasource));
|
||||
@@ -192,7 +187,7 @@ class HeadlessParserServiceTest {
|
||||
System.out.println(parser(semanticSchema, metricCommand2, true));
|
||||
}
|
||||
|
||||
private static void addDepartment(S2SemanticSchema semanticSchema) {
|
||||
private static void addDepartment(S2CalciteSchema semanticSchema) {
|
||||
DataModelYamlTpl datasource = new DataModelYamlTpl();
|
||||
datasource.setName("user_department");
|
||||
datasource.setSourceId(1L);
|
||||
|
||||
@@ -134,7 +134,7 @@ public class S2VisitsDemo extends S2BaseDemo {
|
||||
|
||||
private void addSampleChats(Integer agentId) {
|
||||
Long chatId = chatManageService.addChat(defaultUser, "样例对话1", agentId);
|
||||
submitText(chatId.intValue(), agentId, "超音数 访问次数");
|
||||
submitText(chatId.intValue(), agentId, "访问过超音数的部门有哪些");
|
||||
submitText(chatId.intValue(), agentId, "按部门统计近7天访问次数");
|
||||
submitText(chatId.intValue(), agentId, "alice 停留时长");
|
||||
}
|
||||
@@ -446,7 +446,7 @@ public class S2VisitsDemo extends S2BaseDemo {
|
||||
termReq1.setDescription("用户为tom和lucy");
|
||||
termReq1.setAlias(Lists.newArrayList("VIP用户"));
|
||||
termReq1.setDomainId(s2Domain.getId());
|
||||
termService.saveOrUpdate(termReq, defaultUser);
|
||||
termService.saveOrUpdate(termReq1, defaultUser);
|
||||
}
|
||||
|
||||
private void addAuthGroup_1(ModelResp stayTimeModel) {
|
||||
|
||||
Reference in New Issue
Block a user