尝试使用来自Apache Beam sql的聚合函数ApproximateDistinct.ApproximateDistinctFn
,此操作失败。
我的SQL:
SELECT
ApproximateDistinct(user_id) as distinct_count,
profile,
country_code,
FROM PCOLLECTION
GROUP BY profile,country_code
我在Apache-Beam中的代码调用此查询:
events.apply(SqlTransform.query(query)
.registerUdaf("ApproximateDistinct", ApproximateDistinct.ApproximateDistinctFn.create(StringUtf8Coder.of()).withSparseRepresentation(16)))
这引发了此异常:
aused by: java.lang.ClassCastException: class sun.reflect.generics.reflectiveObjects.TypeVariableImpl cannot be cast to class java.lang.Class (sun.reflect.generics.reflectiveObjects.TypeVariableImpl and java.lang.Class are in module java.base of loader 'bootstrap')
at org.apache.beam.sdk.extensions.sql.impl.utils.CalciteUtils.sqlTypeWithAutoCast(CalciteUtils.java:210)
at org.apache.beam.sdk.extensions.sql.impl.UdafImpl$1.getType(UdafImpl.java:69)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.CalciteCatalogReader.toOp(CalciteCatalogReader.java:313)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.CalciteCatalogReader.toOp(CalciteCatalogReader.java:300)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.CalciteCatalogReader.lambda$lookupOperatorOverloads$3(CalciteCatalogReader.java:269)
at java.base/java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:195)
at java.base/java.util.stream.ReferencePipeline$2$1.accept(ReferencePipeline.java:177)
at java.base/java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1654)
at java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484)
at java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474)
at java.base/java.util.stream.ForEachOps$ForEachOp.evaluateSequential(ForEachOps.java:150)
at java.base/java.util.stream.ForEachOps$ForEachOp$OfRef.evaluateSequential(ForEachOps.java:173)
at java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.base/java.util.stream.ReferencePipeline.forEachOrdered(ReferencePipeline.java:502)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.CalciteCatalogReader.lookupOperatorOverloads(CalciteCatalogReader.java:270)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.util.ChainedSqlOperatorTable.lookupOperatorOverloads(ChainedSqlOperatorTable.java:72)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.performUnconditionalRewrites(SqlValidatorImpl.java:1162)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.performUnconditionalRewrites(SqlValidatorImpl.java:1147)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.performUnconditionalRewrites(SqlValidatorImpl.java:1176)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.performUnconditionalRewrites(SqlValidatorImpl.java:1147)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.validateScopedExpression(SqlValidatorImpl.java:921)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.sql.validate.SqlValidatorImpl.validate(SqlValidatorImpl.java:632)
at org.apache.beam.repackaged.beam_sdks_java_extensions_sql.org.apache.calcite.prepare.PlannerImpl.validate(PlannerImpl.java:188)
答案 0 :(得分:2)
发现自己如何克服这一点。 输入编码器的通用类型存在问题。 另外,合并功能输出不是有效的SQL类型。 因此,我复制该类,删除泛型,然后更改输出类型。 这就是我得到的:
public class ApproximateDistinctCardinalityFn
extends Combine.CombineFn<String, HyperLogLogPlus, Long> {
private final int p;
private final int sp;
private final Coder<String> inputCoder;
\\ here copy rest of the code
}
和提取功能:
@Override
public Long extractOutput(HyperLogLogPlus accumulator) {
return accumulator.cardinality();
}