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[MINOR] Some cosmetic changes for Flink (#3503)

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This commit is contained in:
Danny Chan
2021-08-19 23:21:20 +08:00
committed by GitHub
parent 7dddd54406
commit 9762e4c08c
6 changed files with 184 additions and 108 deletions
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2
hudi-flink/src/main/java/org/apache/hudi/sink/bootstrap/BootstrapFunction.java
View File

@@ -148,7 +148,7 @@ public class BootstrapFunction<I, O extends HoodieRecord>
}
/**
* Load all the indices of give partition path into the backup state.
* Loads all the indices of give partition path into the backup state.
*
* @param partitionPath The partition path
*/

11
hudi-flink/src/main/java/org/apache/hudi/sink/bootstrap/batch/BatchBootstrapFunction.java
View File

@@ -29,7 +29,15 @@ import java.util.HashSet;
import java.util.Set;
/**
* The function to load specify partition index from existing hoodieTable.
* The function to load index from existing hoodieTable.
*
* <p>This function should only be used for bounded source.
*
* <p>When a record comes in, the function firstly checks whether the partition path of the record is already loaded,
* if the partition is not loaded yet, loads the entire partition and sends the index records to downstream operators
* before it sends the input record; if the partition is loaded already, sends the input record directly.
*
* <p>The input records should shuffle by the partition path to avoid repeated loading.
*/
public class BatchBootstrapFunction<I, O extends HoodieRecord>
extends BootstrapFunction<I, O> {
@@ -61,5 +69,4 @@ public class BatchBootstrapFunction<I, O extends HoodieRecord>
// send the trigger record
out.collect((O) value);
}
}

24
hudi-flink/src/main/java/org/apache/hudi/sink/utils/Pipelines.java
View File

@@ -85,7 +85,22 @@ public class Pipelines {
.name("clean_commits");
}
public static DataStream<HoodieRecord> bootstrap(Configuration conf, RowType rowType, int defaultParallelism, DataStream<RowData> dataStream) {
public static DataStream<HoodieRecord> bootstrap(
Configuration conf,
RowType rowType,
int defaultParallelism,
DataStream<RowData> dataStream,
boolean bounded) {
return bounded
? boundedBootstrap(conf, rowType, defaultParallelism, dataStream)
: streamBootstrap(conf, rowType, defaultParallelism, dataStream);
}
private static DataStream<HoodieRecord> streamBootstrap(
Configuration conf,
RowType rowType,
int defaultParallelism,
DataStream<RowData> dataStream) {
DataStream<HoodieRecord> dataStream1 = rowDataToHoodieRecord(conf, rowType, dataStream);
if (conf.getBoolean(FlinkOptions.INDEX_BOOTSTRAP_ENABLED)) {
@@ -101,8 +116,11 @@ public class Pipelines {
return dataStream1;
}
public static DataStream<HoodieRecord> batchBootstrap(Configuration conf, RowType rowType, int defaultParallelism, DataStream<RowData> dataStream) {
// shuffle and sort by partition keys
private static DataStream<HoodieRecord> boundedBootstrap(
Configuration conf,
RowType rowType,
int defaultParallelism,
DataStream<RowData> dataStream) {
final String[] partitionFields = FilePathUtils.extractPartitionKeys(conf);
if (partitionFields.length > 0) {
RowDataKeyGen rowDataKeyGen = RowDataKeyGen.instance(conf, rowType);

6
hudi-flink/src/main/java/org/apache/hudi/table/HoodieTableSink.java
View File

@@ -77,9 +77,9 @@ public class HoodieTableSink implements DynamicTableSink, SupportsPartitioning,
// default parallelism
int parallelism = dataStream.getExecutionConfig().getParallelism();
final DataStream<HoodieRecord> dataStream1 = context.isBounded()
? Pipelines.batchBootstrap(conf, rowType, parallelism, dataStream)
: Pipelines.bootstrap(conf, rowType, parallelism, dataStream);
// bootstrap
final DataStream<HoodieRecord> dataStream1 = Pipelines.bootstrap(conf, rowType, parallelism, dataStream, context.isBounded());
// write pipeline
DataStream<Object> pipeline = Pipelines.hoodieStreamWrite(conf, parallelism, dataStream1);

203
hudi-flink/src/test/java/org/apache/hudi/table/HoodieDataSourceITCase.java
View File

@@ -62,6 +62,7 @@ import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import static org.apache.hudi.utils.TestConfigurations.sql;
import static org.apache.hudi.utils.TestData.assertRowsEquals;
import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;
@@ -98,19 +99,23 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String createSource = TestConfigurations.getFileSourceDDL("source");
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.READ_AS_STREAMING.key(), "true");
options.put(FlinkOptions.TABLE_TYPE.key(), tableType.name());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, tableType.name())
.end();
streamTableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 select * from source";
execInsertSql(streamTableEnv, insertInto);
String firstCommit = TestUtils.getFirstCommit(tempFile.getAbsolutePath());
options.put(FlinkOptions.READ_STREAMING_START_COMMIT.key(), firstCommit);
streamTableEnv.executeSql("drop table t1");
hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, tableType.name())
.option(FlinkOptions.READ_STREAMING_START_COMMIT, firstCommit)
.end();
streamTableEnv.executeSql(hoodieTableDDL);
List<Row> rows = execSelectSql(streamTableEnv, "select * from t1", 10);
assertRowsEquals(rows, TestData.DATA_SET_SOURCE_INSERT);
@@ -128,11 +133,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String createSource = TestConfigurations.getFileSourceDDL("source");
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.READ_AS_STREAMING.key(), "true");
options.put(FlinkOptions.TABLE_TYPE.key(), tableType.name());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, tableType.name())
.end();
streamTableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 select * from source";
execInsertSql(streamTableEnv, insertInto);
@@ -156,11 +161,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
streamTableEnv.executeSql(createSource);
streamTableEnv.executeSql(createSource2);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.READ_AS_STREAMING.key(), "true");
options.put(FlinkOptions.TABLE_TYPE.key(), tableType.name());
String createHoodieTable = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String createHoodieTable = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, tableType.name())
.end();
streamTableEnv.executeSql(createHoodieTable);
String insertInto = "insert into t1 select * from source";
// execute 2 times
@@ -171,8 +176,12 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String insertInto2 = "insert into t1 select * from source2";
execInsertSql(streamTableEnv, insertInto2);
// now we consume starting from the oldest commit
options.put(FlinkOptions.READ_STREAMING_START_COMMIT.key(), specifiedCommit);
String createHoodieTable2 = TestConfigurations.getCreateHoodieTableDDL("t2", options);
String createHoodieTable2 = sql("t2")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, tableType.name())
.option(FlinkOptions.READ_STREAMING_START_COMMIT, specifiedCommit)
.end();
streamTableEnv.executeSql(createHoodieTable2);
List<Row> rows = execSelectSql(streamTableEnv, "select * from t2", 10);
// all the data with same keys are appended within one data bucket and one log file,
@@ -186,9 +195,9 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String createSource = TestConfigurations.getFileSourceDDL("source");
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.end();
streamTableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 select * from source";
execInsertSql(streamTableEnv, insertInto);
@@ -204,16 +213,16 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String createSource = TestConfigurations.getFileSourceDDL("source");
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
// read optimized is supported for both MOR and COR table,
// test MOR streaming write with compaction then reads as
// query type 'read_optimized'.
options.put(FlinkOptions.TABLE_TYPE.key(), FlinkOptions.TABLE_TYPE_MERGE_ON_READ);
options.put(FlinkOptions.QUERY_TYPE.key(), FlinkOptions.QUERY_TYPE_READ_OPTIMIZED);
options.put(FlinkOptions.COMPACTION_DELTA_COMMITS.key(), "1");
options.put(FlinkOptions.COMPACTION_TASKS.key(), "1");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.TABLE_TYPE, FlinkOptions.TABLE_TYPE_MERGE_ON_READ)
// read optimized is supported for both MOR and COR table,
// test MOR streaming write with compaction then reads as
// query type 'read_optimized'.
.option(FlinkOptions.QUERY_TYPE, FlinkOptions.QUERY_TYPE_READ_OPTIMIZED)
.option(FlinkOptions.COMPACTION_DELTA_COMMITS, "1")
.option(FlinkOptions.COMPACTION_TASKS, "1")
.end();
streamTableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 select * from source";
execInsertSql(streamTableEnv, insertInto);
@@ -233,10 +242,10 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
"source", "test_source_3.data", 4);
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.CLEAN_RETAIN_COMMITS.key(), "1"); // only keep 1 commits
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.CLEAN_RETAIN_COMMITS, "1")
.end();
streamTableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into t1 select * from source";
execInsertSql(streamTableEnv, insertInto);
@@ -269,14 +278,14 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String latestCommit = StreamerUtil.createWriteClient(conf, null)
.getLastCompletedInstant(HoodieTableType.MERGE_ON_READ);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.TABLE_TYPE.key(), FlinkOptions.TABLE_TYPE_MERGE_ON_READ);
options.put(FlinkOptions.READ_AS_STREAMING.key(), "true");
options.put(FlinkOptions.READ_STREAMING_CHECK_INTERVAL.key(), "2");
options.put(FlinkOptions.READ_STREAMING_START_COMMIT.key(), latestCommit);
options.put(FlinkOptions.CHANGELOG_ENABLED.key(), "true");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.TABLE_TYPE, FlinkOptions.TABLE_TYPE_MERGE_ON_READ)
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.READ_STREAMING_CHECK_INTERVAL, "2")
.option(FlinkOptions.READ_STREAMING_START_COMMIT, latestCommit)
.option(FlinkOptions.CHANGELOG_ENABLED, "true")
.end();
streamTableEnv.executeSql(hoodieTableDDL);
final String sinkDDL = "create table sink(\n"
@@ -295,12 +304,10 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@MethodSource("executionModeAndPartitioningParams")
void testWriteAndRead(ExecMode execMode, boolean hiveStylePartitioning) {
TableEnvironment tableEnv = execMode == ExecMode.BATCH ? batchTableEnv : streamTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
if (hiveStylePartitioning) {
options.put(FlinkOptions.HIVE_STYLE_PARTITIONING.key(), "true");
}
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.HIVE_STYLE_PARTITIONING, hiveStylePartitioning)
.end();
tableEnv.executeSql(hoodieTableDDL);
execInsertSql(tableEnv, TestSQL.INSERT_T1);
@@ -321,10 +328,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@EnumSource(value = HoodieTableType.class)
void testBatchModeUpsertWithoutPartition(HoodieTableType tableType) {
TableEnvironment tableEnv = batchTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.TABLE_NAME.key(), tableType.name());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options, false);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.TABLE_NAME, tableType.name())
.withPartition(false)
.end();
tableEnv.executeSql(hoodieTableDDL);
execInsertSql(tableEnv, TestSQL.INSERT_T1);
@@ -344,13 +352,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@MethodSource("tableTypeAndPartitioningParams")
void testBatchModeUpsert(HoodieTableType tableType, boolean hiveStylePartitioning) {
TableEnvironment tableEnv = batchTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.TABLE_NAME.key(), tableType.name());
if (hiveStylePartitioning) {
options.put(FlinkOptions.HIVE_STYLE_PARTITIONING.key(), "true");
}
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.TABLE_NAME, tableType.name())
.option(FlinkOptions.HIVE_STYLE_PARTITIONING, hiveStylePartitioning)
.end();
tableEnv.executeSql(hoodieTableDDL);
execInsertSql(tableEnv, TestSQL.INSERT_T1);
@@ -421,9 +427,9 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@EnumSource(value = ExecMode.class)
void testInsertOverwrite(ExecMode execMode) {
TableEnvironment tableEnv = execMode == ExecMode.BATCH ? batchTableEnv : streamTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.end();
tableEnv.executeSql(hoodieTableDDL);
execInsertSql(tableEnv, TestSQL.INSERT_T1);
@@ -458,10 +464,10 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@EnumSource(value = ExecMode.class)
void testUpsertWithMiniBatches(ExecMode execMode) {
TableEnvironment tableEnv = execMode == ExecMode.BATCH ? batchTableEnv : streamTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.WRITE_BATCH_SIZE.key(), "0.001");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.WRITE_BATCH_SIZE, "0.001")
.end();
tableEnv.executeSql(hoodieTableDDL);
final String insertInto1 = "insert into t1 values\n"
@@ -486,9 +492,10 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@EnumSource(value = ExecMode.class)
void testWriteNonPartitionedTable(ExecMode execMode) {
TableEnvironment tableEnv = execMode == ExecMode.BATCH ? batchTableEnv : streamTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options, false);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.withPartition(false)
.end();
tableEnv.executeSql(hoodieTableDDL);
final String insertInto1 = "insert into t1 values\n"
@@ -516,11 +523,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
"source", "test_source_4.data", 4);
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.INDEX_GLOBAL_ENABLED.key(), "true");
options.put(FlinkOptions.INSERT_DROP_DUPS.key(), "true");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.INDEX_GLOBAL_ENABLED, "true")
.option(FlinkOptions.INSERT_DROP_DUPS, "true")
.end();
streamTableEnv.executeSql(hoodieTableDDL);
final String insertInto2 = "insert into t1 select * from source";
@@ -538,12 +545,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String createSource = TestConfigurations.getFileSourceDDL(
"source", "test_source_4.data", 4);
streamTableEnv.executeSql(createSource);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.INDEX_GLOBAL_ENABLED.key(), "false");
options.put(FlinkOptions.INSERT_DROP_DUPS.key(), "true");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.INDEX_GLOBAL_ENABLED, "false")
.option(FlinkOptions.INSERT_DROP_DUPS, "true")
.end();
streamTableEnv.executeSql(hoodieTableDDL);
final String insertInto2 = "insert into t1 select * from source";
@@ -567,11 +573,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
StreamerUtil.initTableIfNotExists(conf);
// create a flink source table
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.READ_AS_STREAMING.key(), "true");
options.put(FlinkOptions.TABLE_TYPE.key(), FlinkOptions.TABLE_TYPE_MERGE_ON_READ);
String createHoodieTable = TestConfigurations.getCreateHoodieTableDDL("t1", options);
String createHoodieTable = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.READ_AS_STREAMING, "true")
.option(FlinkOptions.TABLE_TYPE, FlinkOptions.TABLE_TYPE_MERGE_ON_READ)
.end();
streamTableEnv.executeSql(createHoodieTable);
// execute query and assert throws exception
@@ -640,14 +646,12 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
String csvSourceDDL = TestConfigurations.getCsvSourceDDL("csv_source", "test_source_5.data");
tableEnv.executeSql(csvSourceDDL);
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.OPERATION.key(), "bulk_insert");
options.put(FlinkOptions.WRITE_BULK_INSERT_SHUFFLE_BY_PARTITION.key(), "true");
if (hiveStylePartitioning) {
options.put(FlinkOptions.HIVE_STYLE_PARTITIONING.key(), "true");
}
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("hoodie_sink", options);
String hoodieTableDDL = sql("hoodie_sink")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.OPERATION, "bulk_insert")
.option(FlinkOptions.WRITE_BULK_INSERT_SHUFFLE_BY_PARTITION, "true")
.option(FlinkOptions.HIVE_STYLE_PARTITIONING, hiveStylePartitioning)
.end();
tableEnv.executeSql(hoodieTableDDL);
String insertInto = "insert into hoodie_sink select * from csv_source";
@@ -668,10 +672,11 @@ public class HoodieDataSourceITCase extends AbstractTestBase {
@Test
void testBulkInsertNonPartitionedTable() {
TableEnvironment tableEnv = batchTableEnv;
Map<String, String> options = new HashMap<>();
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
options.put(FlinkOptions.OPERATION.key(), "bulk_insert");
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options, false);
String hoodieTableDDL = sql("t1")
.option(FlinkOptions.PATH, tempFile.getAbsolutePath())
.option(FlinkOptions.OPERATION, "bulk_insert")
.withPartition(false)
.end();
tableEnv.executeSql(hoodieTableDDL);
final String insertInto1 = "insert into t1 values\n"

46
hudi-flink/src/test/java/org/apache/hudi/utils/TestConfigurations.java
View File

@@ -23,6 +23,7 @@ import org.apache.hudi.streamer.FlinkStreamerConfig;
import org.apache.hudi.utils.factory.CollectSinkTableFactory;
import org.apache.hudi.utils.factory.ContinuousFileSourceFactory;
import org.apache.flink.configuration.ConfigOption;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.api.DataTypes;
import org.apache.flink.table.api.TableSchema;
@@ -31,6 +32,7 @@ import org.apache.flink.table.runtime.typeutils.RowDataSerializer;
import org.apache.flink.table.types.DataType;
import org.apache.flink.table.types.logical.RowType;
import java.util.HashMap;
import java.util.Map;
import java.util.Objects;
@@ -182,4 +184,48 @@ public class TestConfigurations {
streamerConf.checkpointInterval = 4000L;
return streamerConf;
}
/**
* Creates the tool to build hoodie table DDL.
*/
public static Sql sql(String tableName) {
return new Sql(tableName);
}
// -------------------------------------------------------------------------
// Utilities
// -------------------------------------------------------------------------
/**
* Tool to build hoodie table DDL with schema {@link #TABLE_SCHEMA}.
*/
public static class Sql {
private final Map<String, String> options;
private String tableName;
private boolean withPartition = true;
public Sql(String tableName) {
options = new HashMap<>();
this.tableName = tableName;
}
public Sql option(ConfigOption<?> option, String val) {
this.options.put(option.key(), val);
return this;
}
public Sql option(ConfigOption<?> option, boolean val) {
this.options.put(option.key(), val + "");
return this;
}
public Sql withPartition(boolean withPartition) {
this.withPartition = withPartition;
return this;
}
public String end() {
return TestConfigurations.getCreateHoodieTableDDL(this.tableName, options, this.withPartition);
}
}
}