yihua commented on a change in pull request #4630:
URL: https://github.com/apache/hudi/pull/4630#discussion_r789246484
##########
File path:
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieFileIndex.scala
##########
@@ -132,14 +142,52 @@ class TestHoodieFileIndex extends HoodieClientTestBase {
assertEquals("partition",
fileIndex.partitionSchema.fields.map(_.name).mkString(","))
}
+ @Test
+ def testPartitionSchemaWithoutKeyGenerator(): Unit = {
+ val metaClient = HoodieTestUtils.init(
+ hadoopConf, basePath, HoodieTableType.COPY_ON_WRITE,
HoodieTableMetaClient.withPropertyBuilder()
+ .fromMetaClient(this.metaClient)
+ .setRecordKeyFields("_row_key")
+ .setPartitionFields("partition_path")
+ .setTableName("hoodie_test").build())
+ val props = Map(
+ "hoodie.insert.shuffle.parallelism" -> "4",
+ "hoodie.upsert.shuffle.parallelism" -> "4",
+ DataSourceWriteOptions.RECORDKEY_FIELD.key -> "_row_key",
+ DataSourceWriteOptions.PARTITIONPATH_FIELD.key -> "partition_path",
+ DataSourceWriteOptions.PRECOMBINE_FIELD.key -> "timestamp",
+ HoodieWriteConfig.TBL_NAME.key -> "hoodie_test",
+ DataSourceWriteOptions.OPERATION.key ->
DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL
+ )
+ val writeConfig = HoodieWriteConfig.newBuilder()
+ .withEngineType(EngineType.JAVA)
+ .withPath(basePath)
+ .withSchema(HoodieTestDataGenerator.TRIP_EXAMPLE_SCHEMA)
+ .withProps(props)
+ .build()
+ val context = new HoodieJavaEngineContext(new Configuration())
+ val writeClient = new HoodieJavaWriteClient(context, writeConfig)
Review comment:
This tests using Spark datasource to read Hudi table written by
Java/Kafka write client to make sure there is no gap.
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