5 Commits

Author SHA1 Message Date
jerryjzhang
de60be3908 refactor(model): default measure agg to none.
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2026-06-23 22:40:10 +08:00
jerryjzhang
0868850edd fix(headless): 解决数据集维度数据类型映射空指针异常
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- 添加对 dataTypeMap 的 containsKey 检查避免空指针异常
- 修复维度数据类型映射逻辑中的潜在运行时错误
- 确保在模型ID不存在时跳过数据类型映射操作
2026-06-20 17:43:12 +08:00
jerryjzhang
6d41ce4c5b fix(mapper): 优先按相似度排序并保留所有完全匹配项
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2026-06-09 19:48:02 +08:00
Jun Zhang
ef2f07a59e feat(dimension): 维度新增data_type字段支持 (#2435)
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2026-06-04 22:33:55 +08:00
jerryjzhang
c3cf8b1889 feat(data): 添加时间戳数据类型支持并优化维度转换逻辑
- 新增 TIMESTAMP 数据类型枚举值
- 为整型数据类型匹配添加 INT 关键字识别
- 移除维度转换中的冗余数据类型设置逻辑
- 修复数据类型转换过程中的潜在问题
2026-06-04 21:02:41 +08:00
10 changed files with 49 additions and 45 deletions

View File

@@ -26,12 +26,10 @@ public class SqlDialectFactory {
.withLiteralQuoteString("'").withIdentifierQuoteString("\"")
.withLiteralEscapedQuoteString("''").withUnquotedCasing(Casing.UNCHANGED)
.withQuotedCasing(Casing.UNCHANGED).withCaseSensitive(true);
public static final Context PRESTO_CONTEXT =
SqlDialect.EMPTY_CONTEXT.withDatabaseProduct(DatabaseProduct.PRESTO)
.withLiteralQuoteString("'")
.withLiteralEscapedQuoteString("''")
.withUnquotedCasing(Casing.UNCHANGED)
.withQuotedCasing(Casing.UNCHANGED).withCaseSensitive(true);
public static final Context PRESTO_CONTEXT = SqlDialect.EMPTY_CONTEXT
.withDatabaseProduct(DatabaseProduct.PRESTO).withLiteralQuoteString("'")
.withLiteralEscapedQuoteString("''").withUnquotedCasing(Casing.UNCHANGED)
.withQuotedCasing(Casing.UNCHANGED).withCaseSensitive(true);
public static final Context KYUUBI_CONTEXT =
SqlDialect.EMPTY_CONTEXT.withDatabaseProduct(DatabaseProduct.BIG_QUERY)
.withLiteralQuoteString("'").withIdentifierQuoteString("`")

View File

@@ -11,6 +11,8 @@ public enum DataTypeEnums {
DATE("DATE"),
TIMESTAMP("TIMESTAMP"),
BIGINT("BIGINT"),
INT("INT"),
@@ -39,6 +41,9 @@ public enum DataTypeEnums {
return typeEnum;
}
}
if (type != null && type.toUpperCase().contains("INT")) {
return DataTypeEnums.INT;
}
return DataTypeEnums.UNKNOWN;
}
}

View File

@@ -56,7 +56,8 @@ public class ChatQueryContext implements Serializable {
candidateQueries = candidateQueries.stream()
.sorted(Comparator.comparing(
semanticQuery -> semanticQuery.getParseInfo().getScore(),
Comparator.reverseOrder())).collect(Collectors.toList());
Comparator.reverseOrder()))
.collect(Collectors.toList());
return candidateQueries;
}

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@@ -9,6 +9,7 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Set;
@@ -50,8 +51,12 @@ public class HanlpDictMatchStrategy extends SingleMatchStrategy<HanlpMapResult>
return new ArrayList<>();
}
// step3. merge pre/suffix result
// sort by similarity (desc) first, then name length (desc), so that
// higher-similarity records are inserted first and survive LinkedHashSet dedup
hanlpMapResults = hanlpMapResults.stream()
.sorted((a, b) -> -(b.getName().length() - a.getName().length()))
.sorted(Comparator.comparingDouble(HanlpMapResult::getSimilarity).reversed()
.thenComparing((a, b) -> Integer.compare(b.getName().length(),
a.getName().length())))
.collect(Collectors.toCollection(LinkedHashSet::new));
// step4. filter by similarity

View File

@@ -123,15 +123,9 @@ public class MapFilter {
.filter(SchemaElementMatch::isFullMatched).collect(Collectors.toList());
if (!fullMatches.isEmpty()) {
// If there are objects with similarity=1.0, choose the one with the longest
// detectWord and smallest offset
SchemaElementMatch bestMatch = fullMatches.stream()
.max(Comparator.comparing(
(SchemaElementMatch match) -> match.getDetectWord().length()))
.orElse(null);
if (bestMatch != null) {
result.add(bestMatch);
}
// Keep all records with similarity=1.0, as they may correspond to different
// elementIds with the same detectWord
result.addAll(fullMatches);
} else {
// If there are no objects with similarity=1.0, keep all objects with similarity<1.0
result.addAll(group);

View File

@@ -286,10 +286,8 @@ public class DataSetServiceImpl extends ServiceImpl<DataSetDOMapper, DataSetDO>
return;
}
Set<Long> includeAllModelIds = configs.stream()
.filter(DataSetModelConfig::getIncludesAll)
.map(DataSetModelConfig::getId)
.collect(Collectors.toSet());
Set<Long> includeAllModelIds = configs.stream().filter(DataSetModelConfig::getIncludesAll)
.map(DataSetModelConfig::getId).collect(Collectors.toSet());
if (CollectionUtils.isEmpty(includeAllModelIds)) {
return;
@@ -302,28 +300,26 @@ public class DataSetServiceImpl extends ServiceImpl<DataSetDOMapper, DataSetDO>
List<DimensionResp> allDimensions = dimensionService.getDimensions(metaFilter);
List<MetricResp> allMetrics = metricService.getMetrics(metaFilter);
Map<Long, List<Long>> modelDimensionMap = allDimensions.stream()
.collect(Collectors.groupingBy(
DimensionResp::getModelId,
Collectors.mapping(DimensionResp::getId, Collectors.toList())
));
Map<Long, List<Long>> modelDimensionMap =
allDimensions.stream().collect(Collectors.groupingBy(DimensionResp::getModelId,
Collectors.mapping(DimensionResp::getId, Collectors.toList())));
Map<Long, List<Long>> modelMetricMap = allMetrics.stream()
.collect(Collectors.groupingBy(
MetricResp::getModelId,
Collectors.mapping(MetricResp::getId, Collectors.toList())
));
Map<Long, List<Long>> modelMetricMap =
allMetrics.stream().collect(Collectors.groupingBy(MetricResp::getModelId,
Collectors.mapping(MetricResp::getId, Collectors.toList())));
for (DataSetModelConfig config : configs) {
if (Boolean.TRUE.equals(config.getIncludesAll())) {
Long modelId = config.getId();
List<Long> modelDimensions = modelDimensionMap.getOrDefault(modelId, Lists.newArrayList());
List<Long> modelDimensions =
modelDimensionMap.getOrDefault(modelId, Lists.newArrayList());
Set<Long> existingDimensions = new HashSet<>(config.getDimensions());
existingDimensions.addAll(modelDimensions);
config.setDimensions(new ArrayList<>(existingDimensions));
List<Long> modelMetrics = modelMetricMap.getOrDefault(modelId, Lists.newArrayList());
List<Long> modelMetrics =
modelMetricMap.getOrDefault(modelId, Lists.newArrayList());
Set<Long> existingMetrics = new HashSet<>(config.getMetrics());
existingMetrics.addAll(modelMetrics);
config.setMetrics(new ArrayList<>(existingMetrics));

View File

@@ -123,8 +123,10 @@ public class DataSetSchemaBuilder {
dimToAdd.getExtInfo().put(DimensionConstants.DIMENSION_DATA_TYPE,
dim.getDataType());
} else {
dimToAdd.getExtInfo().put(DimensionConstants.DIMENSION_DATA_TYPE,
dataTypeMap.get(dim.getModelId()).get(dim.getBizName()));
if (dataTypeMap.containsKey(dim.getModelId())) {
dimToAdd.getExtInfo().put(DimensionConstants.DIMENSION_DATA_TYPE,
dataTypeMap.get(dim.getModelId()).get(dim.getBizName()));
}
}
if (dim.isTimeDimension()) {
String timeFormat =

View File

@@ -73,9 +73,6 @@ public class DimensionConverter {
if (dimensionReq.getTypeParams() != null) {
dimensionDO.setTypeParams(JSONObject.toJSONString(dimensionReq.getTypeParams()));
}
if (dimensionReq.getDataType() != null) {
dimensionDO.setDataType(dimensionReq.getDataType().getType());
}
dimensionDO.setStatus(StatusEnum.ONLINE.getCode());
return dimensionDO;
}

View File

@@ -11,6 +11,7 @@
<result column="status" jdbcType="INTEGER" property="status"/>
<result column="sensitive_level" jdbcType="INTEGER" property="sensitiveLevel"/>
<result column="type" jdbcType="VARCHAR" property="type"/>
<result column="data_type" jdbcType="VARCHAR" property="dataType"/>
<result column="created_at" jdbcType="TIMESTAMP" property="createdAt"/>
<result column="created_by" jdbcType="VARCHAR" property="createdBy"/>
<result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt"/>
@@ -67,14 +68,16 @@
<insert id="batchInsert" parameterType="java.util.List" useGeneratedKeys="true" keyProperty="id">
insert into s2_dimension (name, biz_name,
description, status, model_id,
type, type_params, expr,created_at, created_by,
type, data_type, type_params, expr,created_at, created_by,
updated_by, updated_at, semantic_type,sensitive_level, is_tag, ext)
values
<foreach collection="list" item="dimension" separator=",">
(#{dimension.name,jdbcType=VARCHAR}, #{dimension.bizName,jdbcType=VARCHAR},
#{dimension.description,jdbcType=VARCHAR}, #{dimension.status,jdbcType=INTEGER},
#{dimension.modelId,jdbcType=BIGINT},
#{dimension.type,jdbcType=VARCHAR}, #{dimension.typeParams,jdbcType=VARCHAR},
#{dimension.type,jdbcType=VARCHAR},
#{dimension.dataType,jdbcType=VARCHAR},
#{dimension.typeParams,jdbcType=VARCHAR},
#{dimension.expr,jdbcType=VARCHAR}, #{dimension.createdAt,jdbcType=TIMESTAMP},
#{dimension.createdBy,jdbcType=VARCHAR},
#{dimension.updatedBy,jdbcType=VARCHAR}, #{dimension.updatedAt,jdbcType=TIMESTAMP},
@@ -98,6 +101,9 @@
<if test="dimension.status != null">status = #{dimension.status,jdbcType=INTEGER},</if>
<if test="dimension.modelId != null">model_id = #{dimension.modelId,jdbcType=BIGINT},</if>
<if test="dimension.type != null and dimension.type !=''">type = #{dimension.type,jdbcType=VARCHAR},</if>
<if test="dimension.dataType != null and dimension.dataType !=''">data_type =
#{dimension.dataType,jdbcType=VARCHAR},
</if>
<if test="dimension.typeParams != null and dimension.typeParams !=''">type_params =
#{dimension.typeParams,jdbcType=VARCHAR},
</if>

View File

@@ -105,7 +105,7 @@ const ModelFieldForm: React.FC<Props> = ({
let defaultParams:any = {};
if (value === EnumDataSourceType.MEASURES) {
defaultParams = {
agg: AGG_OPTIONS[0].value,
agg: AGG_OPTIONS[AGG_OPTIONS.length - 1].value,
classType: EnumDataSourceType.MEASURES,
type: EnumDataSourceType.MEASURES,
};
@@ -217,7 +217,7 @@ const ModelFieldForm: React.FC<Props> = ({
handleFieldChange(record, 'agg', value);
}}
allowClear
defaultValue={AGG_OPTIONS[0].value}
defaultValue={AGG_OPTIONS[AGG_OPTIONS.length - 1].value}
style={{ width: '100%' }}
>
{AGG_OPTIONS.map((item) => (