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[HUDI-3993] Replacing UDF in Bulk Insert w/ RDD transformation (#5470)

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This commit is contained in:
Alexey Kudinkin
2022-07-21 06:20:47 -07:00
committed by GitHub
parent c7fe3fd01d
commit a33bdd32e3
41 changed files with 1180 additions and 870 deletions
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98
hudi-spark-datasource/hudi-spark/src/test/java/org/apache/hudi/functional/TestHoodieDatasetBulkInsertHelper.java
View File

@@ -17,6 +17,7 @@
package org.apache.hudi.functional;
import org.apache.avro.Schema;
import org.apache.hudi.AvroConversionUtils;
import org.apache.hudi.DataSourceWriteOptions;
import org.apache.hudi.HoodieDatasetBulkInsertHelper;
@@ -27,10 +28,9 @@ import org.apache.hudi.execution.bulkinsert.NonSortPartitionerWithRows;
import org.apache.hudi.keygen.ComplexKeyGenerator;
import org.apache.hudi.keygen.NonpartitionedKeyGenerator;
import org.apache.hudi.keygen.SimpleKeyGenerator;
import org.apache.hudi.metadata.HoodieTableMetadata;
import org.apache.hudi.testutils.DataSourceTestUtils;
import org.apache.hudi.testutils.HoodieClientTestBase;
import org.apache.avro.Schema;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.Dataset;
@@ -46,6 +46,9 @@ import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.Arguments;
import org.junit.jupiter.params.provider.MethodSource;
import scala.Tuple2;
import scala.collection.JavaConversions;
import scala.collection.JavaConverters;
import java.io.IOException;
import java.util.ArrayList;
@@ -56,10 +59,6 @@ import java.util.stream.Collectors;
import java.util.stream.IntStream;
import java.util.stream.Stream;
import scala.Tuple2;
import scala.collection.JavaConversions;
import scala.collection.JavaConverters;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;
@@ -117,36 +116,42 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
testBulkInsertHelperFor(keyGenClass, "_row_key");
}
private void testBulkInsertHelperFor(String keyGenClass, String recordKey) {
private void testBulkInsertHelperFor(String keyGenClass, String recordKeyField) {
Map<String, String> props = null;
if (keyGenClass.equals(SimpleKeyGenerator.class.getName())) {
props = getPropsAllSet(recordKey);
props = getPropsAllSet(recordKeyField);
} else if (keyGenClass.equals(ComplexKeyGenerator.class.getName())) {
props = getPropsForComplexKeyGen(recordKey);
props = getPropsForComplexKeyGen(recordKeyField);
} else { // NonPartitioned key gen
props = getPropsForNonPartitionedKeyGen(recordKey);
props = getPropsForNonPartitionedKeyGen(recordKeyField);
}
HoodieWriteConfig config = getConfigBuilder(schemaStr).withProps(props).combineInput(false, false).build();
List<Row> rows = DataSourceTestUtils.generateRandomRows(10);
Dataset<Row> dataset = sqlContext.createDataFrame(rows, structType);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
StructType resultSchema = result.schema();
assertEquals(result.count(), 10);
assertEquals(resultSchema.fieldNames().length, structType.fieldNames().length + HoodieRecord.HOODIE_META_COLUMNS.size());
for (Map.Entry<String, Integer> entry : HoodieRecord.HOODIE_META_COLUMNS_NAME_TO_POS.entrySet()) {
assertTrue(resultSchema.fieldIndex(entry.getKey()) == entry.getValue());
assertEquals(entry.getValue(), resultSchema.fieldIndex(entry.getKey()));
}
boolean isNonPartitioned = keyGenClass.equals(NonpartitionedKeyGenerator.class.getName());
boolean isNonPartitionedKeyGen = keyGenClass.equals(NonpartitionedKeyGenerator.class.getName());
boolean isComplexKeyGen = keyGenClass.equals(ComplexKeyGenerator.class.getName());
result.toJavaRDD().foreach(entry -> {
assertTrue(entry.get(resultSchema.fieldIndex(HoodieRecord.RECORD_KEY_METADATA_FIELD)).equals(entry.getAs(recordKey).toString()));
assertTrue(entry.get(resultSchema.fieldIndex(HoodieRecord.PARTITION_PATH_METADATA_FIELD)).equals(isNonPartitioned ? "" : entry.getAs("partition")));
assertTrue(entry.get(resultSchema.fieldIndex(HoodieRecord.COMMIT_SEQNO_METADATA_FIELD)).equals(""));
assertTrue(entry.get(resultSchema.fieldIndex(HoodieRecord.COMMIT_TIME_METADATA_FIELD)).equals(""));
assertTrue(entry.get(resultSchema.fieldIndex(HoodieRecord.FILENAME_METADATA_FIELD)).equals(""));
String recordKey = isComplexKeyGen ? String.format("%s:%s", recordKeyField, entry.getAs(recordKeyField)) : entry.getAs(recordKeyField).toString();
assertEquals(recordKey, entry.get(resultSchema.fieldIndex(HoodieRecord.RECORD_KEY_METADATA_FIELD)));
String partitionPath = isNonPartitionedKeyGen ? HoodieTableMetadata.EMPTY_PARTITION_NAME : entry.getAs("partition").toString();
assertEquals(partitionPath, entry.get(resultSchema.fieldIndex(HoodieRecord.PARTITION_PATH_METADATA_FIELD)));
assertEquals("", entry.get(resultSchema.fieldIndex(HoodieRecord.COMMIT_SEQNO_METADATA_FIELD)));
assertEquals("", entry.get(resultSchema.fieldIndex(HoodieRecord.COMMIT_TIME_METADATA_FIELD)));
assertEquals("", entry.get(resultSchema.fieldIndex(HoodieRecord.FILENAME_METADATA_FIELD)));
});
Dataset<Row> trimmedOutput = result.drop(HoodieRecord.PARTITION_PATH_METADATA_FIELD).drop(HoodieRecord.RECORD_KEY_METADATA_FIELD)
@@ -157,8 +162,13 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
@Test
public void testBulkInsertHelperNoMetaFields() {
List<Row> rows = DataSourceTestUtils.generateRandomRows(10);
HoodieWriteConfig config = getConfigBuilder(schemaStr)
.withProps(getPropsAllSet("_row_key"))
.withPopulateMetaFields(false)
.build();
Dataset<Row> dataset = sqlContext.createDataFrame(rows, structType);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsertWithoutMetaFields(dataset);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
StructType resultSchema = result.schema();
assertEquals(result.count(), 10);
@@ -194,8 +204,8 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
rows.addAll(inserts);
rows.addAll(updates);
Dataset<Row> dataset = sqlContext.createDataFrame(rows, structType);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> result = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
StructType resultSchema = result.schema();
assertEquals(result.count(), enablePreCombine ? 10 : 15);
@@ -211,13 +221,15 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
int metadataCommitSeqNoIndex = resultSchema.fieldIndex(HoodieRecord.COMMIT_SEQNO_METADATA_FIELD);
int metadataFilenameIndex = resultSchema.fieldIndex(HoodieRecord.FILENAME_METADATA_FIELD);
result.toJavaRDD().foreach(entry -> {
assertTrue(entry.get(metadataRecordKeyIndex).equals(entry.getAs("_row_key")));
assertTrue(entry.get(metadataPartitionPathIndex).equals(entry.getAs("partition")));
assertTrue(entry.get(metadataCommitSeqNoIndex).equals(""));
assertTrue(entry.get(metadataCommitTimeIndex).equals(""));
assertTrue(entry.get(metadataFilenameIndex).equals(""));
});
result.toJavaRDD()
.collect()
.forEach(entry -> {
assertTrue(entry.get(metadataRecordKeyIndex).equals(entry.getAs("_row_key")));
assertTrue(entry.get(metadataPartitionPathIndex).equals(entry.getAs("partition")));
assertTrue(entry.get(metadataCommitSeqNoIndex).equals(""));
assertTrue(entry.get(metadataCommitTimeIndex).equals(""));
assertTrue(entry.get(metadataFilenameIndex).equals(""));
});
Dataset<Row> trimmedOutput = result.drop(HoodieRecord.PARTITION_PATH_METADATA_FIELD).drop(HoodieRecord.RECORD_KEY_METADATA_FIELD)
.drop(HoodieRecord.FILENAME_METADATA_FIELD).drop(HoodieRecord.COMMIT_SEQNO_METADATA_FIELD).drop(HoodieRecord.COMMIT_TIME_METADATA_FIELD);
@@ -226,7 +238,7 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
ExpressionEncoder encoder = getEncoder(dataset.schema());
if (enablePreCombine) {
Dataset<Row> inputSnapshotDf = dataset.groupByKey(
(MapFunction<Row, String>) value -> value.getAs("partition") + "+" + value.getAs("_row_key"), Encoders.STRING())
(MapFunction<Row, String>) value -> value.getAs("partition") + ":" + value.getAs("_row_key"), Encoders.STRING())
.reduceGroups((ReduceFunction<Row>) (v1, v2) -> {
long ts1 = v1.getAs("ts");
long ts2 = v2.getAs("ts");
@@ -238,9 +250,9 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
})
.map((MapFunction<Tuple2<String, Row>, Row>) value -> value._2, encoder);
assertTrue(inputSnapshotDf.except(trimmedOutput).count() == 0);
assertEquals(0, inputSnapshotDf.except(trimmedOutput).count());
} else {
assertTrue(dataset.except(trimmedOutput).count() == 0);
assertEquals(0, dataset.except(trimmedOutput).count());
}
}
@@ -277,7 +289,7 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
Map<String, String> props = new HashMap<>();
props.put(DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME().key(), ComplexKeyGenerator.class.getName());
props.put(DataSourceWriteOptions.RECORDKEY_FIELD().key(), recordKey);
props.put(DataSourceWriteOptions.PARTITIONPATH_FIELD().key(), "simple:partition");
props.put(DataSourceWriteOptions.PARTITIONPATH_FIELD().key(), "partition");
props.put(HoodieWriteConfig.TBL_NAME.key(), recordKey + "_table");
return props;
}
@@ -296,8 +308,9 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
List<Row> rows = DataSourceTestUtils.generateRandomRows(10);
Dataset<Row> dataset = sqlContext.createDataFrame(rows, structType);
try {
HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> preparedDF = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
preparedDF.count();
fail("Should have thrown exception");
} catch (Exception e) {
// ignore
@@ -307,8 +320,9 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
rows = DataSourceTestUtils.generateRandomRows(10);
dataset = sqlContext.createDataFrame(rows, structType);
try {
HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> preparedDF = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
preparedDF.count();
fail("Should have thrown exception");
} catch (Exception e) {
// ignore
@@ -318,8 +332,9 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
rows = DataSourceTestUtils.generateRandomRows(10);
dataset = sqlContext.createDataFrame(rows, structType);
try {
HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> preparedDF = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
preparedDF.count();
fail("Should have thrown exception");
} catch (Exception e) {
// ignore
@@ -329,8 +344,9 @@ public class TestHoodieDatasetBulkInsertHelper extends HoodieClientTestBase {
rows = DataSourceTestUtils.generateRandomRows(10);
dataset = sqlContext.createDataFrame(rows, structType);
try {
HoodieDatasetBulkInsertHelper.prepareHoodieDatasetForBulkInsert(sqlContext, config, dataset, "testStructName",
"testNamespace", new NonSortPartitionerWithRows(), false, false);
Dataset<Row> preparedDF = HoodieDatasetBulkInsertHelper.prepareForBulkInsert(dataset, config,
new NonSortPartitionerWithRows(), false);
preparedDF.count();
fail("Should have thrown exception");
} catch (Exception e) {
// ignore

14
hudi-spark-datasource/hudi-spark/src/test/java/org/apache/hudi/testutils/DataSourceTestUtils.java
View File

@@ -24,6 +24,7 @@ import org.apache.hadoop.fs.LocatedFileStatus;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.RemoteIterator;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.testutils.HoodieTestDataGenerator;
import org.apache.hudi.common.util.FileIOUtils;
import org.apache.avro.Schema;
@@ -48,6 +49,8 @@ import static org.apache.hudi.common.testutils.HoodieTestDataGenerator.DEFAULT_T
*/
public class DataSourceTestUtils {
private static final Random RANDOM = new Random(0xDAADDEED);
public static Schema getStructTypeExampleSchema() throws IOException {
return new Schema.Parser().parse(FileIOUtils.readAsUTFString(DataSourceTestUtils.class.getResourceAsStream("/exampleSchema.txt")));
}
@@ -57,13 +60,12 @@ public class DataSourceTestUtils {
}
public static List<Row> generateRandomRows(int count) {
Random random = new Random();
List<Row> toReturn = new ArrayList<>();
List<String> partitions = Arrays.asList(new String[] {DEFAULT_FIRST_PARTITION_PATH, DEFAULT_SECOND_PARTITION_PATH, DEFAULT_THIRD_PARTITION_PATH});
for (int i = 0; i < count; i++) {
Object[] values = new Object[3];
values[0] = UUID.randomUUID().toString();
values[1] = partitions.get(random.nextInt(3));
values[0] = HoodieTestDataGenerator.genPseudoRandomUUID(RANDOM).toString();
values[1] = partitions.get(RANDOM.nextInt(3));
values[2] = new Date().getTime();
toReturn.add(RowFactory.create(values));
}
@@ -97,13 +99,12 @@ public class DataSourceTestUtils {
}
public static List<Row> generateRandomRowsEvolvedSchema(int count) {
Random random = new Random();
List<Row> toReturn = new ArrayList<>();
List<String> partitions = Arrays.asList(new String[] {DEFAULT_FIRST_PARTITION_PATH, DEFAULT_SECOND_PARTITION_PATH, DEFAULT_THIRD_PARTITION_PATH});
for (int i = 0; i < count; i++) {
Object[] values = new Object[4];
values[0] = UUID.randomUUID().toString();
values[1] = partitions.get(random.nextInt(3));
values[1] = partitions.get(RANDOM.nextInt(3));
values[2] = new Date().getTime();
values[3] = UUID.randomUUID().toString();
toReturn.add(RowFactory.create(values));
@@ -112,14 +113,13 @@ public class DataSourceTestUtils {
}
public static List<Row> updateRowsWithHigherTs(Dataset<Row> inputDf) {
Random random = new Random();
List<Row> input = inputDf.collectAsList();
List<Row> rows = new ArrayList<>();
for (Row row : input) {
Object[] values = new Object[3];
values[0] = row.getAs("_row_key");
values[1] = row.getAs("partition");
values[2] = ((Long) row.getAs("ts")) + random.nextInt(1000);
values[2] = ((Long) row.getAs("ts")) + RANDOM.nextInt(1000);
rows.add(RowFactory.create(values));
}
return rows;