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https://issues.apache.org/jira/browse/HUDI-1842?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17394390#comment-17394390
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ASF GitHub Bot commented on HUDI-1842:
--------------------------------------
nsivabalan commented on a change in pull request #3393:
URL: https://github.com/apache/hudi/pull/3393#discussion_r683847551
##########
File path:
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestCreateTable.scala
##########
@@ -272,4 +277,154 @@ class TestCreateTable extends TestHoodieSqlBase {
)
}
}
+
+ test("Test Create Table From Exist Hoodie Table") {
+ withTempDir { tmp =>
+ // Write a table by spark dataframe.
+ Seq("2021-08-02", "2021/08/02").foreach { partitionValue =>
+ val tableName = generateTableName
+ val tablePath = s"${tmp.getCanonicalPath}/$tableName"
+ import spark.implicits._
+ val df = Seq((1, "a1", 10, 1000, partitionValue)).toDF("id", "name",
"value", "ts", "dt")
Review comment:
thanks for expanding the test scope.
In general, there are two types of partitioning. Simple and multi-level. Can
you please add a test for multi-level as well (I mean, there are more, but
these are most commonly used in general). For now, we are manually testing
these to ensure fix looks good. We should be able to cover all these via unit
tests itself.
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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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