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https://issues.apache.org/jira/browse/HUDI-2259?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17391365#comment-17391365
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ASF GitHub Bot commented on HUDI-2259:
--------------------------------------
dongkelun commented on pull request #3380:
URL: https://github.com/apache/hudi/pull/3380#issuecomment-890760974
After I submitted this PR
[https://github.com/apache/hudi/pull/3377](https://github.com/apache/hudi/pull/3377),Then
I wondered if this was the same problem with Spark, so I looked at the latest
code of Spark and found that Spark had solved this problem in this
PR[https://github.com/apache/spark/pull/31444](https://github.com/apache/spark/pull/31444).In
order to be consistent with Spark, I resubmitted this new PR.
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> Support referencing subquery with column aliases by table alias in merge into
> -----------------------------------------------------------------------------
>
> Key: HUDI-2259
> URL: https://issues.apache.org/jira/browse/HUDI-2259
> Project: Apache Hudi
> Issue Type: Improvement
> Components: Spark Integration
> Reporter: 董可伦
> Assignee: 董可伦
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> val tableName = "test_hudi_table"
> spark.sql(
> s"""
> | create table ${tableName} (
> | id int,
> | name string,
> | price double,
> | ts long
> |) using hudi
> | options (
> | primaryKey = 'id',
> | type = 'cow'
> | )
> | location '/tmp/${tableName}'
> |""".stripMargin)
> spark.sql(
> s"""
> | merge into $tableName as t0
> | using (
> | select 1, 'a1', 12, 1003
> | ) s0 (id,name,price,ts)
> | on s0.id = t0.id
> | when matched and id != 1 then update set *
> | when matched and s0.id = 1 then delete
> | when not matched then insert *
> """.stripMargin)
> Exception in thread "main" org.apache.spark.sql.AnalysisException: Cannot
> resolve 's0.id in (`s0.id` = `t0.id`), the input columns is: [id#4, name#5,
> price#6, ts#7, _hoodie_commit_time#8, _hoodie_commit_seqno#9,
> _hoodie_record_key#10, _hoodie_partition_path#11, _hoodie_file_name#12,
> id#13, name#14, price#15, ts#16L];Exception in thread "main"
> org.apache.spark.sql.AnalysisException: Cannot resolve 's0.id in (`s0.id` =
> `t0.id`), the input columns is: [id#4, name#5, price#6, ts#7,
> _hoodie_commit_time#8, _hoodie_commit_seqno#9, _hoodie_record_key#10,
> _hoodie_partition_path#11, _hoodie_file_name#12, id#13, name#14, price#15,
> ts#16L]; at
> org.apache.spark.sql.hudi.analysis.HoodieResolveReferences.org$apache$spark$sql$hudi$analysis$HoodieResolveReferences$$resolveExpressionFrom(HoodieAnalysis.scala:292)
> at
> org.apache.spark.sql.hudi.analysis.HoodieResolveReferences$$anonfun$apply$1.applyOrElse(HoodieAnalysis.scala:160)
> at
> org.apache.spark.sql.hudi.analysis.HoodieResolveReferences$$anonfun$apply$1.applyOrElse(HoodieAnalysis.scala:103)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1$$anonfun$apply$1.apply(AnalysisHelper.scala:90)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1$$anonfun$apply$1.apply(AnalysisHelper.scala:90)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1.apply(AnalysisHelper.scala:89)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$$anonfun$resolveOperatorsUp$1.apply(AnalysisHelper.scala:86)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
> at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$class.resolveOperatorsUp(AnalysisHelper.scala:86)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
>
>
>
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