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Posted to commits@hudi.apache.org by yi...@apache.org on 2022/06/06 17:21:06 UTC
[hudi] branch master updated: [HUDI-4140] Fixing hive style partitioning and default partition with bulk insert row writer with SimpleKeyGen and virtual keys (#5664)
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yihua pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/hudi.git
The following commit(s) were added to refs/heads/master by this push:
new 4f6fc726d0 [HUDI-4140] Fixing hive style partitioning and default partition with bulk insert row writer with SimpleKeyGen and virtual keys (#5664)
4f6fc726d0 is described below
commit 4f6fc726d0d3d2dd427210228bbb36cf18893a92
Author: Sivabalan Narayanan <n....@gmail.com>
AuthorDate: Mon Jun 6 13:21:00 2022 -0400
[HUDI-4140] Fixing hive style partitioning and default partition with bulk insert row writer with SimpleKeyGen and virtual keys (#5664)
Bulk insert row writer code path had a gap wrt hive style partitioning and default partition when virtual keys are enabled with SimpleKeyGen. This patch fixes the issue.
---
.../org/apache/hudi/config/HoodieWriteConfig.java | 4 ++
.../BulkInsertDataInternalWriterHelper.java | 7 +++-
.../HoodieBulkInsertInternalWriterTestBase.java | 5 +++
.../TestHoodieBulkInsertDataInternalWriter.java | 48 ++++++++++++++++++++++
4 files changed, 63 insertions(+), 1 deletion(-)
diff --git a/hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieWriteConfig.java b/hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieWriteConfig.java
index 1603965ea9..31ce05173a 100644
--- a/hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieWriteConfig.java
+++ b/hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieWriteConfig.java
@@ -1064,6 +1064,10 @@ public class HoodieWriteConfig extends HoodieConfig {
return MarkerType.valueOf(markerType.toUpperCase());
}
+ public boolean isHiveStylePartitioningEnabled() {
+ return getBooleanOrDefault(KeyGeneratorOptions.HIVE_STYLE_PARTITIONING_ENABLE);
+ }
+
public int getMarkersTimelineServerBasedBatchNumThreads() {
return getInt(MARKERS_TIMELINE_SERVER_BASED_BATCH_NUM_THREADS);
}
diff --git a/hudi-spark-datasource/hudi-spark-common/src/main/java/org/apache/hudi/internal/BulkInsertDataInternalWriterHelper.java b/hudi-spark-datasource/hudi-spark-common/src/main/java/org/apache/hudi/internal/BulkInsertDataInternalWriterHelper.java
index 9a793c4227..c9404afe61 100644
--- a/hudi-spark-datasource/hudi-spark-common/src/main/java/org/apache/hudi/internal/BulkInsertDataInternalWriterHelper.java
+++ b/hudi-spark-datasource/hudi-spark-common/src/main/java/org/apache/hudi/internal/BulkInsertDataInternalWriterHelper.java
@@ -23,6 +23,7 @@ import org.apache.hudi.client.HoodieInternalWriteStatus;
import org.apache.hudi.common.config.TypedProperties;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.PartitionPathEncodeUtils;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.exception.HoodieIOException;
import org.apache.hudi.io.storage.row.HoodieRowCreateHandle;
@@ -128,7 +129,11 @@ public class BulkInsertDataInternalWriterHelper {
if (!keyGeneratorOpt.isPresent()) { // NoPartitionerKeyGen
partitionPath = "";
} else if (simpleKeyGen) { // SimpleKeyGen
- partitionPath = (record.get(simplePartitionFieldIndex, simplePartitionFieldDataType)).toString();
+ Object parititionPathValue = record.get(simplePartitionFieldIndex, simplePartitionFieldDataType);
+ partitionPath = parititionPathValue != null ? parititionPathValue.toString() : PartitionPathEncodeUtils.DEFAULT_PARTITION_PATH;
+ if (writeConfig.isHiveStylePartitioningEnabled()) {
+ partitionPath = (keyGeneratorOpt.get()).getPartitionPathFields().get(0) + "=" + partitionPath;
+ }
} else {
// only BuiltIn key generators are supported if meta fields are disabled.
partitionPath = keyGeneratorOpt.get().getPartitionPath(record, structType);
diff --git a/hudi-spark-datasource/hudi-spark-common/src/test/java/org/apache/hudi/internal/HoodieBulkInsertInternalWriterTestBase.java b/hudi-spark-datasource/hudi-spark-common/src/test/java/org/apache/hudi/internal/HoodieBulkInsertInternalWriterTestBase.java
index 95a023abb6..54eaadd1e3 100644
--- a/hudi-spark-datasource/hudi-spark-common/src/test/java/org/apache/hudi/internal/HoodieBulkInsertInternalWriterTestBase.java
+++ b/hudi-spark-datasource/hudi-spark-common/src/test/java/org/apache/hudi/internal/HoodieBulkInsertInternalWriterTestBase.java
@@ -70,6 +70,10 @@ public class HoodieBulkInsertInternalWriterTestBase extends HoodieClientTestHarn
}
protected HoodieWriteConfig getWriteConfig(boolean populateMetaFields) {
+ return getWriteConfig(populateMetaFields, DataSourceWriteOptions.HIVE_STYLE_PARTITIONING().defaultValue());
+ }
+
+ protected HoodieWriteConfig getWriteConfig(boolean populateMetaFields, String hiveStylePartitioningValue) {
Properties properties = new Properties();
if (!populateMetaFields) {
properties.setProperty(DataSourceWriteOptions.KEYGENERATOR_CLASS_NAME().key(), SimpleKeyGenerator.class.getName());
@@ -77,6 +81,7 @@ public class HoodieBulkInsertInternalWriterTestBase extends HoodieClientTestHarn
properties.setProperty(DataSourceWriteOptions.PARTITIONPATH_FIELD().key(), SparkDatasetTestUtils.PARTITION_PATH_FIELD_NAME);
properties.setProperty(HoodieTableConfig.POPULATE_META_FIELDS.key(), "false");
}
+ properties.setProperty(DataSourceWriteOptions.HIVE_STYLE_PARTITIONING().key(), hiveStylePartitioningValue);
return getConfigBuilder(basePath, timelineServicePort).withProperties(properties).build();
}
diff --git a/hudi-spark-datasource/hudi-spark2/src/test/java/org/apache/hudi/internal/TestHoodieBulkInsertDataInternalWriter.java b/hudi-spark-datasource/hudi-spark2/src/test/java/org/apache/hudi/internal/TestHoodieBulkInsertDataInternalWriter.java
index fd943b72e3..f31a344714 100644
--- a/hudi-spark-datasource/hudi-spark2/src/test/java/org/apache/hudi/internal/TestHoodieBulkInsertDataInternalWriter.java
+++ b/hudi-spark-datasource/hudi-spark2/src/test/java/org/apache/hudi/internal/TestHoodieBulkInsertDataInternalWriter.java
@@ -18,15 +18,18 @@
package org.apache.hudi.internal;
+import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.testutils.HoodieTestDataGenerator;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.table.HoodieSparkTable;
import org.apache.hudi.table.HoodieTable;
+import org.apache.hudi.testutils.SparkDatasetTestUtils;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.catalyst.InternalRow;
+import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.Arguments;
@@ -109,6 +112,51 @@ public class TestHoodieBulkInsertDataInternalWriter extends
}
}
+ @Test
+ public void testDataInternalWriterHiveStylePartitioning() throws Exception {
+ boolean sorted = true;
+ boolean populateMetaFields = false;
+ // init config and table
+ HoodieWriteConfig cfg = getWriteConfig(populateMetaFields, "true");
+ HoodieTable table = HoodieSparkTable.create(cfg, context, metaClient);
+ for (int i = 0; i < 1; i++) {
+ String instantTime = "00" + i;
+ // init writer
+ HoodieBulkInsertDataInternalWriter writer = new HoodieBulkInsertDataInternalWriter(table, cfg, instantTime, RANDOM.nextInt(100000), RANDOM.nextLong(), RANDOM.nextLong(),
+ STRUCT_TYPE, populateMetaFields, sorted);
+
+ int size = 10 + RANDOM.nextInt(1000);
+ // write N rows to partition1, N rows to partition2 and N rows to partition3 ... Each batch should create a new RowCreateHandle and a new file
+ int batches = 3;
+ Dataset<Row> totalInputRows = null;
+
+ for (int j = 0; j < batches; j++) {
+ String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[j % 3];
+ Dataset<Row> inputRows = getRandomRows(sqlContext, size, partitionPath, false);
+ writeRows(inputRows, writer);
+ if (totalInputRows == null) {
+ totalInputRows = inputRows;
+ } else {
+ totalInputRows = totalInputRows.union(inputRows);
+ }
+ }
+
+ BaseWriterCommitMessage commitMetadata = (BaseWriterCommitMessage) writer.commit();
+ Option<List<String>> fileAbsPaths = Option.of(new ArrayList<>());
+ Option<List<String>> fileNames = Option.of(new ArrayList<>());
+
+ // verify write statuses
+ assertWriteStatuses(commitMetadata.getWriteStatuses(), batches, size, sorted, fileAbsPaths, fileNames);
+
+ // verify rows
+ Dataset<Row> result = sqlContext.read().parquet(fileAbsPaths.get().toArray(new String[0]));
+ assertOutput(totalInputRows, result, instantTime, fileNames, populateMetaFields);
+
+ result.collectAsList().forEach(entry -> Assertions.assertTrue(entry.getAs(HoodieRecord.PARTITION_PATH_METADATA_FIELD).toString()
+ .contains(SparkDatasetTestUtils.PARTITION_PATH_FIELD_NAME + "=")));
+ }
+ }
+
/**
* Issue some corrupted or wrong schematized InternalRow after few valid InternalRows so that global error is thrown. write batch 1 of valid records write batch2 of invalid records which is expected
* to throw Global Error. Verify global error is set appropriately and only first batch of records are written to disk.