[HUDI-2089]fix the bug that metatable cannot support non_partition table (#3182)
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@@ -700,4 +700,50 @@ class HoodieSparkSqlWriterSuite extends FunSuite with Matchers {
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}
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}
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}
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test("test Non partition table with metatable support") {
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List(DataSourceWriteOptions.COW_TABLE_TYPE_OPT_VAL, DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL).foreach { tableType =>
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initSparkContext("testNonPartitionTableWithMetaTable")
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initSparkContext("test_schema_evolution")
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val path = java.nio.file.Files.createTempDirectory("hoodie_test_path")
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val basePath = path.toAbsolutePath.toString
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try {
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val df = spark.range(0, 10).toDF("keyid")
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.withColumn("col3", expr("keyid"))
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.withColumn("age", expr("keyid + 1000"))
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df.write.format("hudi")
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.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY.key, tableType)
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.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY.key, "col3")
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.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY.key, "keyid")
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.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY.key, "")
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.option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY.key, "org.apache.hudi.keygen.NonpartitionedKeyGenerator")
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.option(DataSourceWriteOptions.OPERATION_OPT_KEY.key, "insert")
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.option("hoodie.insert.shuffle.parallelism", "1")
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.option("hoodie.metadata.enable", "true")
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.option(HoodieWriteConfig.TABLE_NAME.key, "hoodie_test")
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.mode(SaveMode.Overwrite).save(basePath)
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// upsert same record again
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val df_update = spark.range(0, 10).toDF("keyid")
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.withColumn("col3", expr("keyid"))
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.withColumn("age", expr("keyid + 2000"))
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df_update.write.format("hudi")
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.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY.key, tableType)
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.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY.key, "col3")
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.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY.key, "keyid")
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.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY.key, "")
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.option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY.key, "org.apache.hudi.keygen.NonpartitionedKeyGenerator")
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.option(DataSourceWriteOptions.OPERATION_OPT_KEY.key, "upsert")
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.option("hoodie.upsert.shuffle.parallelism", "1")
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.option("hoodie.metadata.enable", "true")
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.option(HoodieWriteConfig.TABLE_NAME.key, "hoodie_test")
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.mode(SaveMode.Append).save(basePath)
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assert(spark.read.format("hudi").load(basePath).count() == 10)
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assert(spark.read.format("hudi").load(basePath).where("age >= 2000").count() == 10)
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} finally {
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spark.stop()
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FileUtils.deleteDirectory(path.toFile)
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}
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}
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}
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}
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