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https://issues.apache.org/jira/browse/HUDI-1842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17392642#comment-17392642
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ASF GitHub Bot commented on HUDI-1842:
--------------------------------------
pengzhiwei2018 commented on a change in pull request #3393:
URL: https://github.com/apache/hudi/pull/3393#discussion_r682235910
##########
File path:
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/analysis/HoodieAnalysis.scala
##########
@@ -268,7 +269,25 @@ case class HoodieResolveReferences(sparkSession:
SparkSession) extends Rule[Logi
} else {
l
}
-
+ // Fill schema for Create Table without specify schema info
+ case c @ CreateTable(tableDesc, _, _)
+ if isHoodieTable(tableDesc) =>
+ val tablePath = getTableLocation(c.tableDesc, sparkSession)
+ .getOrElse(s"Missing location defined in table
${c.tableDesc.identifier}")
+ val metaClient = HoodieTableMetaClient.builder()
+ .setBasePath(tablePath)
+ .setConf(sparkSession.sessionState.newHadoopConf())
+ .build()
+ val tableSchema =
HoodieSqlUtils.getTableSqlSchema(metaClient).map(HoodieSqlUtils.addMetaFields)
+ if (tableSchema.isDefined && tableDesc.schema.isEmpty) {
+ // Fill the schema with the schema from the table
+ c.copy(tableDesc.copy(schema = tableSchema.get))
+ } else if (tableSchema.isDefined && tableDesc.schema !=
tableSchema.get) {
Review comment:
well, In scala, we usually use "=" or "!=" test compile two object.
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> [SQL] Spark Sql Support For The Exists Hoodie Table
> ---------------------------------------------------
>
> Key: HUDI-1842
> URL: https://issues.apache.org/jira/browse/HUDI-1842
> Project: Apache Hudi
> Issue Type: Sub-task
> Reporter: pengzhiwei
> Assignee: pengzhiwei
> Priority: Blocker
> Labels: pull-request-available, release-blocker
> Fix For: 0.9.0
>
>
> In order to support spark sql for hoodie, we persist some table properties to
> the hoodie.properties. e.g. primaryKey, preCombineField, partition columns.
> For the exists hoodie tables, these properties are missing. We need do some
> code in UpgradeDowngrade to support spark sql for the exists tables.
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