[HUDI-2413] fix Sql source's checkpoint issue (#3648)
* [HUDI-2413] fix Sql source's checkpoint * Fixing sql source checkpoint handling * Fixing docs Co-authored-by: jian.feng <fengjian428@gmial.com> Co-authored-by: sivabalan <n.siva.b@gmail.com>
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@@ -61,6 +61,7 @@ public class HoodieDeltaStreamerTestBase extends UtilitiesTestBase {
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static final String PROPS_FILENAME_TEST_PARQUET = "test-parquet-dfs-source.properties";
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static final String PROPS_FILENAME_TEST_ORC = "test-orc-dfs-source.properties";
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static final String PROPS_FILENAME_TEST_JSON_KAFKA = "test-json-kafka-dfs-source.properties";
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static final String PROPS_FILENAME_TEST_SQL_SOURCE = "test-sql-source-source.properties";
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static final String PROPS_FILENAME_TEST_MULTI_WRITER = "test-multi-writer.properties";
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static final String FIRST_PARQUET_FILE_NAME = "1.parquet";
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static final String FIRST_ORC_FILE_NAME = "1.orc";
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@@ -71,6 +72,7 @@ public class HoodieDeltaStreamerTestBase extends UtilitiesTestBase {
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static final int ORC_NUM_RECORDS = 5;
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static final int CSV_NUM_RECORDS = 3;
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static final int JSON_KAFKA_NUM_RECORDS = 5;
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static final int SQL_SOURCE_NUM_RECORDS = 1000;
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String kafkaCheckpointType = "string";
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// Required fields
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static final String TGT_BASE_PATH_PARAM = "--target-base-path";
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@@ -64,6 +64,7 @@ import org.apache.hudi.utilities.sources.JdbcSource;
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import org.apache.hudi.utilities.sources.JsonKafkaSource;
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import org.apache.hudi.utilities.sources.ORCDFSSource;
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import org.apache.hudi.utilities.sources.ParquetDFSSource;
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import org.apache.hudi.utilities.sources.SqlSource;
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import org.apache.hudi.utilities.sources.TestDataSource;
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import org.apache.hudi.utilities.testutils.JdbcTestUtils;
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import org.apache.hudi.utilities.testutils.UtilitiesTestBase;
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@@ -208,6 +209,14 @@ public class TestHoodieDeltaStreamer extends HoodieDeltaStreamerTestBase {
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List<String> transformerClassNames, String propsFilename, boolean enableHiveSync, boolean useSchemaProviderClass,
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int sourceLimit, boolean updatePayloadClass, String payloadClassName, String tableType, String sourceOrderingField,
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String checkpoint) {
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return makeConfig(basePath, op, sourceClassName, transformerClassNames, propsFilename, enableHiveSync, useSchemaProviderClass, sourceLimit, updatePayloadClass, payloadClassName,
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tableType, sourceOrderingField, checkpoint, false);
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}
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static HoodieDeltaStreamer.Config makeConfig(String basePath, WriteOperationType op, String sourceClassName,
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List<String> transformerClassNames, String propsFilename, boolean enableHiveSync, boolean useSchemaProviderClass,
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int sourceLimit, boolean updatePayloadClass, String payloadClassName, String tableType, String sourceOrderingField,
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String checkpoint, boolean allowCommitOnNoCheckpointChange) {
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HoodieDeltaStreamer.Config cfg = new HoodieDeltaStreamer.Config();
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cfg.targetBasePath = basePath;
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cfg.targetTableName = "hoodie_trips";
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@@ -226,6 +235,7 @@ public class TestHoodieDeltaStreamer extends HoodieDeltaStreamerTestBase {
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if (useSchemaProviderClass) {
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cfg.schemaProviderClassName = defaultSchemaProviderClassName;
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}
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cfg.allowCommitOnNoCheckpointChange = allowCommitOnNoCheckpointChange;
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return cfg;
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}
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@@ -1701,6 +1711,41 @@ public class TestHoodieDeltaStreamer extends HoodieDeltaStreamerTestBase {
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testCsvDFSSource(false, '\t', true, Collections.singletonList(TripsWithDistanceTransformer.class.getName()));
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}
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private void prepareSqlSource() throws IOException {
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String sourceRoot = dfsBasePath + "sqlSourceFiles";
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TypedProperties sqlSourceProps = new TypedProperties();
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sqlSourceProps.setProperty("include", "base.properties");
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sqlSourceProps.setProperty("hoodie.embed.timeline.server", "false");
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sqlSourceProps.setProperty("hoodie.datasource.write.recordkey.field", "_row_key");
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sqlSourceProps.setProperty("hoodie.datasource.write.partitionpath.field", "not_there");
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sqlSourceProps.setProperty("hoodie.deltastreamer.source.sql.sql.query","select * from test_sql_table");
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UtilitiesTestBase.Helpers.savePropsToDFS(sqlSourceProps, dfs, dfsBasePath + "/" + PROPS_FILENAME_TEST_SQL_SOURCE);
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// Data generation
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HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
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generateSqlSourceTestTable(sourceRoot, "1", "1000", SQL_SOURCE_NUM_RECORDS, dataGenerator);
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}
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private void generateSqlSourceTestTable(String dfsRoot, String filename, String instantTime, int n, HoodieTestDataGenerator dataGenerator) throws IOException {
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Path path = new Path(dfsRoot, filename);
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Helpers.saveParquetToDFS(Helpers.toGenericRecords(dataGenerator.generateInserts(instantTime, n, false)), path);
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sparkSession.read().parquet(dfsRoot).createOrReplaceTempView("test_sql_table");
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}
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@Test
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public void testSqlSourceSource() throws Exception {
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prepareSqlSource();
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String tableBasePath = dfsBasePath + "/test_sql_source_table" + testNum++;
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HoodieDeltaStreamer deltaStreamer =
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new HoodieDeltaStreamer(TestHelpers.makeConfig(
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tableBasePath, WriteOperationType.INSERT, SqlSource.class.getName(),
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Collections.emptyList(), PROPS_FILENAME_TEST_SQL_SOURCE, false,
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false, 1000, false, null, null, "timestamp", null, true), jsc);
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deltaStreamer.sync();
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TestHelpers.assertRecordCount(SQL_SOURCE_NUM_RECORDS, tableBasePath + "/*/*.parquet", sqlContext);
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}
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@Test
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public void testJdbcSourceIncrementalFetchInContinuousMode() {
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try (Connection connection = DriverManager.getConnection("jdbc:h2:mem:test_mem", "test", "jdbc")) {
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@@ -40,6 +40,7 @@ import org.junit.jupiter.api.Test;
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import java.io.IOException;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertNull;
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import static org.junit.jupiter.api.Assertions.assertThrows;
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/**
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@@ -135,6 +136,23 @@ public class TestSqlSource extends UtilitiesTestBase {
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assertEquals(10000, fetch1AsRows.getBatch().get().count());
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}
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/**
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* Runs the test scenario of reading data from the source in row format.
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* Source has no records.
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*
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* @throws IOException
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*/
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@Test
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public void testSqlSourceCheckpoint() throws IOException {
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props.setProperty(sqlSourceConfig, "select * from test_sql_table where 1=0");
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sqlSource = new SqlSource(props, jsc, sparkSession, schemaProvider);
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sourceFormatAdapter = new SourceFormatAdapter(sqlSource);
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InputBatch<Dataset<Row>> fetch1AsRows =
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sourceFormatAdapter.fetchNewDataInRowFormat(Option.empty(), Long.MAX_VALUE);
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assertNull(fetch1AsRows.getCheckpointForNextBatch());
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}
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/**
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* Runs the test scenario of reading data from the source in row format.
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* Source has more records than source limit.
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