[HUDI-875] Abstract hudi-sync-common, and support hudi-hive-sync, hudi-dla-sync (#1810)
- Generalize the hive-sync module for syncing to multiple metastores - Added new options for datasource - Added new command line for delta streamer Co-authored-by: Vinoth Chandar <vinoth@apache.org>
This commit is contained in:
@@ -0,0 +1,538 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi.hive;
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import org.apache.hudi.common.model.HoodieRecord;
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import org.apache.hudi.common.testutils.SchemaTestUtil;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.sync.common.AbstractSyncHoodieClient.PartitionEvent;
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import org.apache.hudi.sync.common.AbstractSyncHoodieClient.PartitionEvent.PartitionEventType;
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import org.apache.hudi.hive.testutils.HiveTestUtil;
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import org.apache.hudi.hive.util.HiveSchemaUtil;
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import org.apache.hadoop.hive.metastore.api.Partition;
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import org.apache.parquet.schema.MessageType;
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import org.apache.parquet.schema.OriginalType;
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import org.apache.parquet.schema.PrimitiveType;
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import org.apache.parquet.schema.Types;
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import org.joda.time.DateTime;
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import org.junit.jupiter.api.AfterAll;
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import org.junit.jupiter.api.AfterEach;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.params.ParameterizedTest;
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import org.junit.jupiter.params.provider.MethodSource;
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import java.io.IOException;
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import java.util.Arrays;
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import java.util.List;
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import java.util.stream.Stream;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertFalse;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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public class TestHiveSyncTool {
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private static Stream<Boolean> useJdbc() {
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return Stream.of(false, true);
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}
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private static Iterable<Object[]> useJdbcAndSchemaFromCommitMetadata() {
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return Arrays.asList(new Object[][] { { true, true }, { true, false }, { false, true }, { false, false } });
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}
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@BeforeEach
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public void setUp() throws IOException, InterruptedException {
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HiveTestUtil.setUp();
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}
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@AfterEach
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public void teardown() throws IOException {
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HiveTestUtil.clear();
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}
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@AfterAll
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public static void cleanUpClass() {
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HiveTestUtil.shutdown();
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}
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/**
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* Testing converting array types to Hive field declaration strings.
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* <p>
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* Refer to the Parquet-113 spec: https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#lists
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*/
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@Test
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public void testSchemaConvertArray() throws IOException {
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// Testing the 3-level annotation structure
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MessageType schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup()
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.optional(PrimitiveType.PrimitiveTypeName.INT32).named("element").named("list").named("int_list")
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.named("ArrayOfInts");
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String schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`int_list` ARRAY< int>", schemaString);
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// A array of arrays
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup().requiredGroup()
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.as(OriginalType.LIST).repeatedGroup().required(PrimitiveType.PrimitiveTypeName.INT32).named("element")
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.named("list").named("element").named("list").named("int_list_list").named("ArrayOfArrayOfInts");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`int_list_list` ARRAY< ARRAY< int>>", schemaString);
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// A list of integers
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeated(PrimitiveType.PrimitiveTypeName.INT32)
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.named("element").named("int_list").named("ArrayOfInts");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`int_list` ARRAY< int>", schemaString);
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// A list of structs with two fields
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup()
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.required(PrimitiveType.PrimitiveTypeName.BINARY).named("str").required(PrimitiveType.PrimitiveTypeName.INT32)
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.named("num").named("element").named("tuple_list").named("ArrayOfTuples");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`tuple_list` ARRAY< STRUCT< `str` : binary, `num` : int>>", schemaString);
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// A list of structs with a single field
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// For this case, since the inner group name is "array", we treat the
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// element type as a one-element struct.
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup()
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.required(PrimitiveType.PrimitiveTypeName.BINARY).named("str").named("array").named("one_tuple_list")
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.named("ArrayOfOneTuples");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`one_tuple_list` ARRAY< STRUCT< `str` : binary>>", schemaString);
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// A list of structs with a single field
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// For this case, since the inner group name ends with "_tuple", we also treat the
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// element type as a one-element struct.
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup()
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.required(PrimitiveType.PrimitiveTypeName.BINARY).named("str").named("one_tuple_list_tuple")
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.named("one_tuple_list").named("ArrayOfOneTuples2");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`one_tuple_list` ARRAY< STRUCT< `str` : binary>>", schemaString);
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// A list of structs with a single field
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// Unlike the above two cases, for this the element type is the type of the
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// only field in the struct.
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup()
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.required(PrimitiveType.PrimitiveTypeName.BINARY).named("str").named("one_tuple_list").named("one_tuple_list")
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.named("ArrayOfOneTuples3");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`one_tuple_list` ARRAY< binary>", schemaString);
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// A list of maps
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schema = Types.buildMessage().optionalGroup().as(OriginalType.LIST).repeatedGroup().as(OriginalType.MAP)
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.repeatedGroup().as(OriginalType.MAP_KEY_VALUE).required(PrimitiveType.PrimitiveTypeName.BINARY)
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.as(OriginalType.UTF8).named("string_key").required(PrimitiveType.PrimitiveTypeName.INT32).named("int_value")
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.named("key_value").named("array").named("map_list").named("ArrayOfMaps");
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schemaString = HiveSchemaUtil.generateSchemaString(schema);
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assertEquals("`map_list` ARRAY< MAP< string, int>>", schemaString);
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}
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@ParameterizedTest
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@MethodSource({"useJdbcAndSchemaFromCommitMetadata"})
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public void testBasicSync(boolean useJdbc, boolean useSchemaFromCommitMetadata) throws Exception {
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HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
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String instantTime = "100";
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HiveTestUtil.createCOWTable(instantTime, 5, useSchemaFromCommitMetadata);
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HoodieHiveClient hiveClient =
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new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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assertFalse(hiveClient.doesTableExist(HiveTestUtil.hiveSyncConfig.tableName),
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"Table " + HiveTestUtil.hiveSyncConfig.tableName + " should not exist initially");
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// Lets do the sync
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HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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assertTrue(hiveClient.doesTableExist(HiveTestUtil.hiveSyncConfig.tableName),
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"Table " + HiveTestUtil.hiveSyncConfig.tableName + " should exist after sync completes");
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assertEquals(hiveClient.getTableSchema(HiveTestUtil.hiveSyncConfig.tableName).size(),
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hiveClient.getDataSchema().getColumns().size() + 1,
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"Hive Schema should match the table schema + partition field");
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assertEquals(5, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"Table partitions should match the number of partitions we wrote");
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assertEquals(instantTime, hiveClient.getLastCommitTimeSynced(HiveTestUtil.hiveSyncConfig.tableName).get(),
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"The last commit that was sycned should be updated in the TBLPROPERTIES");
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// Adding of new partitions
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List<String> newPartition = Arrays.asList("2050/01/01");
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hiveClient.addPartitionsToTable(HiveTestUtil.hiveSyncConfig.tableName, Arrays.asList());
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assertEquals(5, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"No new partition should be added");
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hiveClient.addPartitionsToTable(HiveTestUtil.hiveSyncConfig.tableName, newPartition);
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assertEquals(6, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"New partition should be added");
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// Update partitions
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hiveClient.updatePartitionsToTable(HiveTestUtil.hiveSyncConfig.tableName, Arrays.asList());
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assertEquals(6, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"Partition count should remain the same");
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hiveClient.updatePartitionsToTable(HiveTestUtil.hiveSyncConfig.tableName, newPartition);
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assertEquals(6, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"Partition count should remain the same");
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// Alter partitions
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// Manually change a hive partition location to check if the sync will detect
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// it and generage a partition update event for it.
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hiveClient.updateHiveSQL("ALTER TABLE `" + HiveTestUtil.hiveSyncConfig.tableName
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+ "` PARTITION (`datestr`='2050-01-01') SET LOCATION '/some/new/location'");
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hiveClient = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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List<Partition> hivePartitions = hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName);
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List<String> writtenPartitionsSince = hiveClient.getPartitionsWrittenToSince(Option.empty());
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writtenPartitionsSince.add(newPartition.get(0));
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List<PartitionEvent> partitionEvents = hiveClient.getPartitionEvents(hivePartitions, writtenPartitionsSince);
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assertEquals(1, partitionEvents.size(), "There should be only one paritition event");
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assertEquals(PartitionEventType.UPDATE, partitionEvents.iterator().next().eventType,
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"The one partition event must of type UPDATE");
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tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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// Sync should update the changed partition to correct path
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List<Partition> tablePartitions = hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName);
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assertEquals(6, tablePartitions.size(), "The one partition we wrote should be added to hive");
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assertEquals(instantTime, hiveClient.getLastCommitTimeSynced(HiveTestUtil.hiveSyncConfig.tableName).get(),
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"The last commit that was sycned should be 100");
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}
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@ParameterizedTest
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@MethodSource("useJdbc")
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public void testSyncIncremental(boolean useJdbc) throws Exception {
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HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
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String commitTime1 = "100";
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HiveTestUtil.createCOWTable(commitTime1, 5, true);
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HoodieHiveClient hiveClient =
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new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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// Lets do the sync
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HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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assertEquals(5, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"Table partitions should match the number of partitions we wrote");
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assertEquals(commitTime1, hiveClient.getLastCommitTimeSynced(HiveTestUtil.hiveSyncConfig.tableName).get(),
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"The last commit that was sycned should be updated in the TBLPROPERTIES");
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// Now lets create more parititions and these are the only ones which needs to be synced
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DateTime dateTime = DateTime.now().plusDays(6);
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String commitTime2 = "101";
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HiveTestUtil.addCOWPartitions(1, true, true, dateTime, commitTime2);
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// Lets do the sync
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hiveClient = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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List<String> writtenPartitionsSince = hiveClient.getPartitionsWrittenToSince(Option.of(commitTime1));
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assertEquals(1, writtenPartitionsSince.size(), "We should have one partition written after 100 commit");
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List<Partition> hivePartitions = hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName);
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List<PartitionEvent> partitionEvents = hiveClient.getPartitionEvents(hivePartitions, writtenPartitionsSince);
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assertEquals(1, partitionEvents.size(), "There should be only one paritition event");
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assertEquals(PartitionEventType.ADD, partitionEvents.iterator().next().eventType, "The one partition event must of type ADD");
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tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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// Sync should add the one partition
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assertEquals(6, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"The one partition we wrote should be added to hive");
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assertEquals(commitTime2, hiveClient.getLastCommitTimeSynced(HiveTestUtil.hiveSyncConfig.tableName).get(),
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"The last commit that was sycned should be 101");
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}
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@ParameterizedTest
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@MethodSource("useJdbc")
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public void testSyncIncrementalWithSchemaEvolution(boolean useJdbc) throws Exception {
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HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
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String commitTime1 = "100";
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HiveTestUtil.createCOWTable(commitTime1, 5, true);
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HoodieHiveClient hiveClient =
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new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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// Lets do the sync
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HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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int fields = hiveClient.getTableSchema(HiveTestUtil.hiveSyncConfig.tableName).size();
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// Now lets create more parititions and these are the only ones which needs to be synced
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DateTime dateTime = DateTime.now().plusDays(6);
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String commitTime2 = "101";
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HiveTestUtil.addCOWPartitions(1, false, true, dateTime, commitTime2);
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// Lets do the sync
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tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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assertEquals(fields + 3, hiveClient.getTableSchema(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"Hive Schema has evolved and should not be 3 more field");
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assertEquals("BIGINT", hiveClient.getTableSchema(HiveTestUtil.hiveSyncConfig.tableName).get("favorite_number"),
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"Hive Schema has evolved - Field favorite_number has evolved from int to long");
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assertTrue(hiveClient.getTableSchema(HiveTestUtil.hiveSyncConfig.tableName).containsKey("favorite_movie"),
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"Hive Schema has evolved - Field favorite_movie was added");
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// Sync should add the one partition
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assertEquals(6, hiveClient.scanTablePartitions(HiveTestUtil.hiveSyncConfig.tableName).size(),
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"The one partition we wrote should be added to hive");
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assertEquals(commitTime2, hiveClient.getLastCommitTimeSynced(HiveTestUtil.hiveSyncConfig.tableName).get(),
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"The last commit that was sycned should be 101");
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}
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@ParameterizedTest
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@MethodSource("useJdbcAndSchemaFromCommitMetadata")
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public void testSyncMergeOnRead(boolean useJdbc, boolean useSchemaFromCommitMetadata) throws Exception {
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HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
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String instantTime = "100";
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String deltaCommitTime = "101";
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HiveTestUtil.createMORTable(instantTime, deltaCommitTime, 5, true,
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useSchemaFromCommitMetadata);
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String roTableName = HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_READ_OPTIMIZED_TABLE;
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HoodieHiveClient hiveClient = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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assertFalse(hiveClient.doesTableExist(roTableName), "Table " + HiveTestUtil.hiveSyncConfig.tableName + " should not exist initially");
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// Lets do the sync
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HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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assertTrue(hiveClient.doesTableExist(roTableName), "Table " + roTableName + " should exist after sync completes");
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if (useSchemaFromCommitMetadata) {
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assertEquals(hiveClient.getTableSchema(roTableName).size(),
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SchemaTestUtil.getSimpleSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
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+ HoodieRecord.HOODIE_META_COLUMNS.size(),
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"Hive Schema should match the table schema + partition field");
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} else {
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// The data generated and schema in the data file do not have metadata columns, so we need a separate check.
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assertEquals(hiveClient.getTableSchema(roTableName).size(),
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SchemaTestUtil.getSimpleSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size(),
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"Hive Schema should match the table schema + partition field");
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}
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assertEquals(5, hiveClient.scanTablePartitions(roTableName).size(),
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"Table partitions should match the number of partitions we wrote");
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assertEquals(deltaCommitTime, hiveClient.getLastCommitTimeSynced(roTableName).get(),
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"The last commit that was sycned should be updated in the TBLPROPERTIES");
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// Now lets create more partitions and these are the only ones which needs to be synced
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DateTime dateTime = DateTime.now().plusDays(6);
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String commitTime2 = "102";
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String deltaCommitTime2 = "103";
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HiveTestUtil.addCOWPartitions(1, true, useSchemaFromCommitMetadata, dateTime, commitTime2);
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HiveTestUtil.addMORPartitions(1, true, false,
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useSchemaFromCommitMetadata, dateTime, commitTime2, deltaCommitTime2);
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// Lets do the sync
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tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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tool.syncHoodieTable();
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hiveClient = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
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if (useSchemaFromCommitMetadata) {
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assertEquals(hiveClient.getTableSchema(roTableName).size(),
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SchemaTestUtil.getEvolvedSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
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+ HoodieRecord.HOODIE_META_COLUMNS.size(),
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"Hive Schema should match the evolved table schema + partition field");
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} else {
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// The data generated and schema in the data file do not have metadata columns, so we need a separate check.
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assertEquals(hiveClient.getTableSchema(roTableName).size(),
|
||||
SchemaTestUtil.getEvolvedSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size(),
|
||||
"Hive Schema should match the evolved table schema + partition field");
|
||||
}
|
||||
// Sync should add the one partition
|
||||
assertEquals(6, hiveClient.scanTablePartitions(roTableName).size(),
|
||||
"The 2 partitions we wrote should be added to hive");
|
||||
assertEquals(deltaCommitTime2, hiveClient.getLastCommitTimeSynced(roTableName).get(),
|
||||
"The last commit that was synced should be 103");
|
||||
}
|
||||
|
||||
@ParameterizedTest
|
||||
@MethodSource("useJdbcAndSchemaFromCommitMetadata")
|
||||
public void testSyncMergeOnReadRT(boolean useJdbc, boolean useSchemaFromCommitMetadata) throws Exception {
|
||||
HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
|
||||
String instantTime = "100";
|
||||
String deltaCommitTime = "101";
|
||||
String snapshotTableName = HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE;
|
||||
HiveTestUtil.createMORTable(instantTime, deltaCommitTime, 5, true, useSchemaFromCommitMetadata);
|
||||
HoodieHiveClient hiveClientRT =
|
||||
new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
|
||||
assertFalse(hiveClientRT.doesTableExist(snapshotTableName),
|
||||
"Table " + HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE
|
||||
+ " should not exist initially");
|
||||
|
||||
// Lets do the sync
|
||||
HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
|
||||
assertTrue(hiveClientRT.doesTableExist(snapshotTableName),
|
||||
"Table " + HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE
|
||||
+ " should exist after sync completes");
|
||||
|
||||
if (useSchemaFromCommitMetadata) {
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getSimpleSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
|
||||
+ HoodieRecord.HOODIE_META_COLUMNS.size(),
|
||||
"Hive Schema should match the table schema + partition field");
|
||||
} else {
|
||||
// The data generated and schema in the data file do not have metadata columns, so we need a separate check.
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getSimpleSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size(),
|
||||
"Hive Schema should match the table schema + partition field");
|
||||
}
|
||||
|
||||
assertEquals(5, hiveClientRT.scanTablePartitions(snapshotTableName).size(),
|
||||
"Table partitions should match the number of partitions we wrote");
|
||||
assertEquals(deltaCommitTime, hiveClientRT.getLastCommitTimeSynced(snapshotTableName).get(),
|
||||
"The last commit that was synced should be updated in the TBLPROPERTIES");
|
||||
|
||||
// Now lets create more parititions and these are the only ones which needs to be synced
|
||||
DateTime dateTime = DateTime.now().plusDays(6);
|
||||
String commitTime2 = "102";
|
||||
String deltaCommitTime2 = "103";
|
||||
|
||||
HiveTestUtil.addCOWPartitions(1, true, useSchemaFromCommitMetadata, dateTime, commitTime2);
|
||||
HiveTestUtil.addMORPartitions(1, true, false, useSchemaFromCommitMetadata, dateTime, commitTime2, deltaCommitTime2);
|
||||
// Lets do the sync
|
||||
tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
hiveClientRT = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
|
||||
if (useSchemaFromCommitMetadata) {
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getEvolvedSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
|
||||
+ HoodieRecord.HOODIE_META_COLUMNS.size(),
|
||||
"Hive Schema should match the evolved table schema + partition field");
|
||||
} else {
|
||||
// The data generated and schema in the data file do not have metadata columns, so we need a separate check.
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getEvolvedSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size(),
|
||||
"Hive Schema should match the evolved table schema + partition field");
|
||||
}
|
||||
// Sync should add the one partition
|
||||
assertEquals(6, hiveClientRT.scanTablePartitions(snapshotTableName).size(),
|
||||
"The 2 partitions we wrote should be added to hive");
|
||||
assertEquals(deltaCommitTime2, hiveClientRT.getLastCommitTimeSynced(snapshotTableName).get(),
|
||||
"The last commit that was sycned should be 103");
|
||||
}
|
||||
|
||||
@ParameterizedTest
|
||||
@MethodSource("useJdbc")
|
||||
public void testMultiPartitionKeySync(boolean useJdbc) throws Exception {
|
||||
HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
|
||||
String instantTime = "100";
|
||||
HiveTestUtil.createCOWTable(instantTime, 5, true);
|
||||
|
||||
HiveSyncConfig hiveSyncConfig = HiveSyncConfig.copy(HiveTestUtil.hiveSyncConfig);
|
||||
hiveSyncConfig.partitionValueExtractorClass = MultiPartKeysValueExtractor.class.getCanonicalName();
|
||||
hiveSyncConfig.tableName = "multi_part_key";
|
||||
hiveSyncConfig.partitionFields = Arrays.asList("year", "month", "day");
|
||||
HiveTestUtil.getCreatedTablesSet().add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName);
|
||||
|
||||
HoodieHiveClient hiveClient = new HoodieHiveClient(hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
assertFalse(hiveClient.doesTableExist(hiveSyncConfig.tableName),
|
||||
"Table " + hiveSyncConfig.tableName + " should not exist initially");
|
||||
// Lets do the sync
|
||||
HiveSyncTool tool = new HiveSyncTool(hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
assertTrue(hiveClient.doesTableExist(hiveSyncConfig.tableName),
|
||||
"Table " + hiveSyncConfig.tableName + " should exist after sync completes");
|
||||
assertEquals(hiveClient.getTableSchema(hiveSyncConfig.tableName).size(),
|
||||
hiveClient.getDataSchema().getColumns().size() + 3,
|
||||
"Hive Schema should match the table schema + partition fields");
|
||||
assertEquals(5, hiveClient.scanTablePartitions(hiveSyncConfig.tableName).size(),
|
||||
"Table partitions should match the number of partitions we wrote");
|
||||
assertEquals(instantTime, hiveClient.getLastCommitTimeSynced(hiveSyncConfig.tableName).get(),
|
||||
"The last commit that was sycned should be updated in the TBLPROPERTIES");
|
||||
}
|
||||
|
||||
@ParameterizedTest
|
||||
@MethodSource("useJdbc")
|
||||
public void testNonPartitionedSync(boolean useJdbc) throws Exception {
|
||||
HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
|
||||
String instantTime = "100";
|
||||
HiveTestUtil.createCOWTable(instantTime, 5, true);
|
||||
|
||||
HiveSyncConfig hiveSyncConfig = HiveSyncConfig.copy(HiveTestUtil.hiveSyncConfig);
|
||||
// Set partition value extractor to NonPartitionedExtractor
|
||||
hiveSyncConfig.partitionValueExtractorClass = NonPartitionedExtractor.class.getCanonicalName();
|
||||
hiveSyncConfig.tableName = "non_partitioned";
|
||||
hiveSyncConfig.partitionFields = Arrays.asList("year", "month", "day");
|
||||
HiveTestUtil.getCreatedTablesSet().add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName);
|
||||
|
||||
HoodieHiveClient hiveClient = new HoodieHiveClient(hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
assertFalse(hiveClient.doesTableExist(hiveSyncConfig.tableName),
|
||||
"Table " + hiveSyncConfig.tableName + " should not exist initially");
|
||||
// Lets do the sync
|
||||
HiveSyncTool tool = new HiveSyncTool(hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
assertTrue(hiveClient.doesTableExist(hiveSyncConfig.tableName),
|
||||
"Table " + hiveSyncConfig.tableName + " should exist after sync completes");
|
||||
assertEquals(hiveClient.getTableSchema(hiveSyncConfig.tableName).size(),
|
||||
hiveClient.getDataSchema().getColumns().size(),
|
||||
"Hive Schema should match the table schema,ignoring the partition fields");
|
||||
assertEquals(0, hiveClient.scanTablePartitions(hiveSyncConfig.tableName).size(),
|
||||
"Table should not have partitions because of the NonPartitionedExtractor");
|
||||
}
|
||||
|
||||
@ParameterizedTest
|
||||
@MethodSource("useJdbc")
|
||||
public void testReadSchemaForMOR(boolean useJdbc) throws Exception {
|
||||
HiveTestUtil.hiveSyncConfig.useJdbc = useJdbc;
|
||||
String commitTime = "100";
|
||||
String snapshotTableName = HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE;
|
||||
HiveTestUtil.createMORTable(commitTime, "", 5, false, true);
|
||||
HoodieHiveClient hiveClientRT =
|
||||
new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
|
||||
assertFalse(hiveClientRT.doesTableExist(snapshotTableName), "Table " + HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE
|
||||
+ " should not exist initially");
|
||||
|
||||
// Lets do the sync
|
||||
HiveSyncTool tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
|
||||
assertTrue(hiveClientRT.doesTableExist(snapshotTableName), "Table " + HiveTestUtil.hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE
|
||||
+ " should exist after sync completes");
|
||||
|
||||
// Schema being read from compacted base files
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getSimpleSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
|
||||
+ HoodieRecord.HOODIE_META_COLUMNS.size(),
|
||||
"Hive Schema should match the table schema + partition field");
|
||||
assertEquals(5, hiveClientRT.scanTablePartitions(snapshotTableName).size(), "Table partitions should match the number of partitions we wrote");
|
||||
|
||||
// Now lets create more partitions and these are the only ones which needs to be synced
|
||||
DateTime dateTime = DateTime.now().plusDays(6);
|
||||
String commitTime2 = "102";
|
||||
String deltaCommitTime2 = "103";
|
||||
|
||||
HiveTestUtil.addMORPartitions(1, true, false, true, dateTime, commitTime2, deltaCommitTime2);
|
||||
// Lets do the sync
|
||||
tool = new HiveSyncTool(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
tool.syncHoodieTable();
|
||||
hiveClientRT = new HoodieHiveClient(HiveTestUtil.hiveSyncConfig, HiveTestUtil.getHiveConf(), HiveTestUtil.fileSystem);
|
||||
|
||||
// Schema being read from the log files
|
||||
assertEquals(hiveClientRT.getTableSchema(snapshotTableName).size(),
|
||||
SchemaTestUtil.getEvolvedSchema().getFields().size() + HiveTestUtil.hiveSyncConfig.partitionFields.size()
|
||||
+ HoodieRecord.HOODIE_META_COLUMNS.size(),
|
||||
"Hive Schema should match the evolved table schema + partition field");
|
||||
// Sync should add the one partition
|
||||
assertEquals(6, hiveClientRT.scanTablePartitions(snapshotTableName).size(), "The 1 partition we wrote should be added to hive");
|
||||
assertEquals(deltaCommitTime2, hiveClientRT.getLastCommitTimeSynced(snapshotTableName).get(),
|
||||
"The last commit that was sycned should be 103");
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,328 @@
|
||||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. The ASF licenses this file
|
||||
* to you under the Apache License, Version 2.0 (the
|
||||
* "License"); you may not use this file except in compliance
|
||||
* with the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
package org.apache.hudi.hive.testutils;
|
||||
|
||||
import org.apache.hudi.common.testutils.HoodieTestUtils;
|
||||
import org.apache.hudi.common.util.FileIOUtils;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.hadoop.hive.conf.HiveConf;
|
||||
import org.apache.hadoop.hive.metastore.HiveMetaStore;
|
||||
import org.apache.hadoop.hive.metastore.HiveMetaStoreClient;
|
||||
import org.apache.hadoop.hive.metastore.IHMSHandler;
|
||||
import org.apache.hadoop.hive.metastore.RetryingHMSHandler;
|
||||
import org.apache.hadoop.hive.metastore.TSetIpAddressProcessor;
|
||||
import org.apache.hadoop.hive.metastore.TUGIBasedProcessor;
|
||||
import org.apache.hadoop.hive.metastore.api.MetaException;
|
||||
import org.apache.hadoop.hive.thrift.TUGIContainingTransport;
|
||||
import org.apache.hive.service.server.HiveServer2;
|
||||
import org.apache.log4j.LogManager;
|
||||
import org.apache.log4j.Logger;
|
||||
import org.apache.thrift.TProcessor;
|
||||
import org.apache.thrift.protocol.TBinaryProtocol;
|
||||
import org.apache.thrift.server.TServer;
|
||||
import org.apache.thrift.server.TThreadPoolServer;
|
||||
import org.apache.thrift.transport.TFramedTransport;
|
||||
import org.apache.thrift.transport.TServerSocket;
|
||||
import org.apache.thrift.transport.TServerTransport;
|
||||
import org.apache.thrift.transport.TSocket;
|
||||
import org.apache.thrift.transport.TTransport;
|
||||
import org.apache.thrift.transport.TTransportException;
|
||||
import org.apache.thrift.transport.TTransportFactory;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.net.InetSocketAddress;
|
||||
import java.net.SocketException;
|
||||
import java.nio.file.Files;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
import java.util.Objects;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
|
||||
public class HiveTestService {
|
||||
|
||||
private static final Logger LOG = LogManager.getLogger(HiveTestService.class);
|
||||
|
||||
private static final int CONNECTION_TIMEOUT = 30000;
|
||||
|
||||
/**
|
||||
* Configuration settings.
|
||||
*/
|
||||
private Configuration hadoopConf;
|
||||
private String workDir;
|
||||
private String bindIP = "127.0.0.1";
|
||||
private int metastorePort = 9083;
|
||||
private int serverPort = 9999;
|
||||
private boolean clean = true;
|
||||
|
||||
private Map<String, String> sysProps = new HashMap<>();
|
||||
private ExecutorService executorService;
|
||||
private TServer tServer;
|
||||
private HiveServer2 hiveServer;
|
||||
|
||||
public HiveTestService(Configuration configuration) throws IOException {
|
||||
this.workDir = Files.createTempDirectory(System.currentTimeMillis() + "-").toFile().getAbsolutePath();
|
||||
}
|
||||
|
||||
public Configuration getHadoopConf() {
|
||||
return hadoopConf;
|
||||
}
|
||||
|
||||
public HiveServer2 start() throws IOException {
|
||||
Objects.requireNonNull(workDir, "The work dir must be set before starting cluster.");
|
||||
|
||||
if (hadoopConf == null) {
|
||||
hadoopConf = HoodieTestUtils.getDefaultHadoopConf();
|
||||
}
|
||||
|
||||
String localHiveLocation = getHiveLocation(workDir);
|
||||
if (clean) {
|
||||
LOG.info("Cleaning Hive cluster data at: " + localHiveLocation + " and starting fresh.");
|
||||
File file = new File(localHiveLocation);
|
||||
FileIOUtils.deleteDirectory(file);
|
||||
}
|
||||
|
||||
HiveConf serverConf = configureHive(hadoopConf, localHiveLocation);
|
||||
|
||||
executorService = Executors.newSingleThreadExecutor();
|
||||
tServer = startMetaStore(bindIP, metastorePort, serverConf);
|
||||
|
||||
serverConf.set("hive.in.test", "true");
|
||||
hiveServer = startHiveServer(serverConf);
|
||||
|
||||
String serverHostname;
|
||||
if (bindIP.equals("0.0.0.0")) {
|
||||
serverHostname = "localhost";
|
||||
} else {
|
||||
serverHostname = bindIP;
|
||||
}
|
||||
if (!waitForServerUp(serverConf, serverHostname, metastorePort, CONNECTION_TIMEOUT)) {
|
||||
throw new IOException("Waiting for startup of standalone server");
|
||||
}
|
||||
|
||||
LOG.info("Hive Minicluster service started.");
|
||||
return hiveServer;
|
||||
}
|
||||
|
||||
public void stop() {
|
||||
resetSystemProperties();
|
||||
if (tServer != null) {
|
||||
try {
|
||||
tServer.stop();
|
||||
} catch (Exception e) {
|
||||
LOG.error("Stop meta store failed", e);
|
||||
}
|
||||
}
|
||||
if (hiveServer != null) {
|
||||
try {
|
||||
hiveServer.stop();
|
||||
} catch (Exception e) {
|
||||
LOG.error("Stop hive server failed", e);
|
||||
}
|
||||
}
|
||||
if (executorService != null) {
|
||||
executorService.shutdownNow();
|
||||
}
|
||||
LOG.info("Hive Minicluster service shut down.");
|
||||
tServer = null;
|
||||
hiveServer = null;
|
||||
hadoopConf = null;
|
||||
}
|
||||
|
||||
private HiveConf configureHive(Configuration conf, String localHiveLocation) throws IOException {
|
||||
conf.set("hive.metastore.local", "false");
|
||||
conf.set(HiveConf.ConfVars.METASTOREURIS.varname, "thrift://" + bindIP + ":" + metastorePort);
|
||||
conf.set(HiveConf.ConfVars.HIVE_SERVER2_THRIFT_BIND_HOST.varname, bindIP);
|
||||
conf.setInt(HiveConf.ConfVars.HIVE_SERVER2_THRIFT_PORT.varname, serverPort);
|
||||
// The following line to turn of SASL has no effect since HiveAuthFactory calls
|
||||
// 'new HiveConf()'. This is fixed by https://issues.apache.org/jira/browse/HIVE-6657,
|
||||
// in Hive 0.14.
|
||||
// As a workaround, the property is set in hive-site.xml in this module.
|
||||
// conf.set(HiveConf.ConfVars.HIVE_SERVER2_AUTHENTICATION.varname, "NOSASL");
|
||||
File localHiveDir = new File(localHiveLocation);
|
||||
localHiveDir.mkdirs();
|
||||
File metastoreDbDir = new File(localHiveDir, "metastore_db");
|
||||
conf.set(HiveConf.ConfVars.METASTORECONNECTURLKEY.varname,
|
||||
"jdbc:derby:" + metastoreDbDir.getPath() + ";create=true");
|
||||
File derbyLogFile = new File(localHiveDir, "derby.log");
|
||||
derbyLogFile.createNewFile();
|
||||
setSystemProperty("derby.stream.error.file", derbyLogFile.getPath());
|
||||
setSystemProperty("derby.system.home", localHiveDir.getAbsolutePath());
|
||||
conf.set(HiveConf.ConfVars.METASTOREWAREHOUSE.varname,
|
||||
Files.createTempDirectory(System.currentTimeMillis() + "-").toFile().getAbsolutePath());
|
||||
conf.set("datanucleus.schema.autoCreateTables", "true");
|
||||
conf.set("hive.metastore.schema.verification", "false");
|
||||
setSystemProperty("derby.stream.error.file", derbyLogFile.getPath());
|
||||
|
||||
return new HiveConf(conf, this.getClass());
|
||||
}
|
||||
|
||||
private boolean waitForServerUp(HiveConf serverConf, String hostname, int port, int timeout) {
|
||||
long start = System.currentTimeMillis();
|
||||
while (true) {
|
||||
try {
|
||||
new HiveMetaStoreClient(serverConf);
|
||||
return true;
|
||||
} catch (MetaException e) {
|
||||
// ignore as this is expected
|
||||
LOG.info("server " + hostname + ":" + port + " not up " + e);
|
||||
}
|
||||
|
||||
if (System.currentTimeMillis() > start + timeout) {
|
||||
break;
|
||||
}
|
||||
try {
|
||||
Thread.sleep(250);
|
||||
} catch (InterruptedException e) {
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
private void setSystemProperty(String name, String value) {
|
||||
if (!sysProps.containsKey(name)) {
|
||||
String currentValue = System.getProperty(name);
|
||||
sysProps.put(name, currentValue);
|
||||
}
|
||||
if (value != null) {
|
||||
System.setProperty(name, value);
|
||||
} else {
|
||||
System.getProperties().remove(name);
|
||||
}
|
||||
}
|
||||
|
||||
private void resetSystemProperties() {
|
||||
for (Map.Entry<String, String> entry : sysProps.entrySet()) {
|
||||
if (entry.getValue() != null) {
|
||||
System.setProperty(entry.getKey(), entry.getValue());
|
||||
} else {
|
||||
System.getProperties().remove(entry.getKey());
|
||||
}
|
||||
}
|
||||
sysProps.clear();
|
||||
}
|
||||
|
||||
private static String getHiveLocation(String baseLocation) {
|
||||
return baseLocation + Path.SEPARATOR + "hive";
|
||||
}
|
||||
|
||||
private HiveServer2 startHiveServer(HiveConf serverConf) {
|
||||
HiveServer2 hiveServer = new HiveServer2();
|
||||
hiveServer.init(serverConf);
|
||||
hiveServer.start();
|
||||
return hiveServer;
|
||||
}
|
||||
|
||||
// XXX: From org.apache.hadoop.hive.metastore.HiveMetaStore,
|
||||
// with changes to support binding to a specified IP address (not only 0.0.0.0)
|
||||
private static final class ChainedTTransportFactory extends TTransportFactory {
|
||||
|
||||
private final TTransportFactory parentTransFactory;
|
||||
private final TTransportFactory childTransFactory;
|
||||
|
||||
private ChainedTTransportFactory(TTransportFactory parentTransFactory, TTransportFactory childTransFactory) {
|
||||
this.parentTransFactory = parentTransFactory;
|
||||
this.childTransFactory = childTransFactory;
|
||||
}
|
||||
|
||||
@Override
|
||||
public TTransport getTransport(TTransport trans) {
|
||||
return childTransFactory.getTransport(parentTransFactory.getTransport(trans));
|
||||
}
|
||||
}
|
||||
|
||||
private static final class TServerSocketKeepAlive extends TServerSocket {
|
||||
|
||||
public TServerSocketKeepAlive(int port) throws TTransportException {
|
||||
super(port, 0);
|
||||
}
|
||||
|
||||
public TServerSocketKeepAlive(InetSocketAddress address) throws TTransportException {
|
||||
super(address, 0);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected TSocket acceptImpl() throws TTransportException {
|
||||
TSocket ts = super.acceptImpl();
|
||||
try {
|
||||
ts.getSocket().setKeepAlive(true);
|
||||
} catch (SocketException e) {
|
||||
throw new TTransportException(e);
|
||||
}
|
||||
return ts;
|
||||
}
|
||||
}
|
||||
|
||||
public TServer startMetaStore(String forceBindIP, int port, HiveConf conf) throws IOException {
|
||||
try {
|
||||
// Server will create new threads up to max as necessary. After an idle
|
||||
// period, it will destory threads to keep the number of threads in the
|
||||
// pool to min.
|
||||
int minWorkerThreads = conf.getIntVar(HiveConf.ConfVars.METASTORESERVERMINTHREADS);
|
||||
int maxWorkerThreads = conf.getIntVar(HiveConf.ConfVars.METASTORESERVERMAXTHREADS);
|
||||
boolean tcpKeepAlive = conf.getBoolVar(HiveConf.ConfVars.METASTORE_TCP_KEEP_ALIVE);
|
||||
boolean useFramedTransport = conf.getBoolVar(HiveConf.ConfVars.METASTORE_USE_THRIFT_FRAMED_TRANSPORT);
|
||||
|
||||
// don't support SASL yet
|
||||
// boolean useSasl = conf.getBoolVar(HiveConf.ConfVars.METASTORE_USE_THRIFT_SASL);
|
||||
|
||||
TServerTransport serverTransport;
|
||||
if (forceBindIP != null) {
|
||||
InetSocketAddress address = new InetSocketAddress(forceBindIP, port);
|
||||
serverTransport = tcpKeepAlive ? new TServerSocketKeepAlive(address) : new TServerSocket(address);
|
||||
|
||||
} else {
|
||||
serverTransport = tcpKeepAlive ? new TServerSocketKeepAlive(port) : new TServerSocket(port);
|
||||
}
|
||||
|
||||
TProcessor processor;
|
||||
TTransportFactory transFactory;
|
||||
|
||||
HiveMetaStore.HMSHandler baseHandler = new HiveMetaStore.HMSHandler("new db based metaserver", conf, false);
|
||||
IHMSHandler handler = RetryingHMSHandler.getProxy(conf, baseHandler, true);
|
||||
|
||||
if (conf.getBoolVar(HiveConf.ConfVars.METASTORE_EXECUTE_SET_UGI)) {
|
||||
transFactory = useFramedTransport
|
||||
? new ChainedTTransportFactory(new TFramedTransport.Factory(), new TUGIContainingTransport.Factory())
|
||||
: new TUGIContainingTransport.Factory();
|
||||
|
||||
processor = new TUGIBasedProcessor<>(handler);
|
||||
LOG.info("Starting DB backed MetaStore Server with SetUGI enabled");
|
||||
} else {
|
||||
transFactory = useFramedTransport ? new TFramedTransport.Factory() : new TTransportFactory();
|
||||
processor = new TSetIpAddressProcessor<>(handler);
|
||||
LOG.info("Starting DB backed MetaStore Server");
|
||||
}
|
||||
|
||||
TThreadPoolServer.Args args = new TThreadPoolServer.Args(serverTransport).processor(processor)
|
||||
.transportFactory(transFactory).protocolFactory(new TBinaryProtocol.Factory())
|
||||
.minWorkerThreads(minWorkerThreads).maxWorkerThreads(maxWorkerThreads);
|
||||
|
||||
final TServer tServer = new TThreadPoolServer(args);
|
||||
executorService.submit(tServer::serve);
|
||||
return tServer;
|
||||
} catch (Throwable x) {
|
||||
throw new IOException(x);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,385 @@
|
||||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. The ASF licenses this file
|
||||
* to you under the Apache License, Version 2.0 (the
|
||||
* "License"); you may not use this file except in compliance
|
||||
* with the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
package org.apache.hudi.hive.testutils;
|
||||
|
||||
import org.apache.hudi.avro.HoodieAvroWriteSupport;
|
||||
import org.apache.hudi.common.bloom.BloomFilter;
|
||||
import org.apache.hudi.common.bloom.BloomFilterFactory;
|
||||
import org.apache.hudi.common.bloom.BloomFilterTypeCode;
|
||||
import org.apache.hudi.common.fs.FSUtils;
|
||||
import org.apache.hudi.common.model.HoodieAvroPayload;
|
||||
import org.apache.hudi.common.model.HoodieBaseFile;
|
||||
import org.apache.hudi.common.model.HoodieCommitMetadata;
|
||||
import org.apache.hudi.common.model.HoodieDeltaWriteStat;
|
||||
import org.apache.hudi.common.model.HoodieLogFile;
|
||||
import org.apache.hudi.common.model.HoodieTableType;
|
||||
import org.apache.hudi.common.model.HoodieWriteStat;
|
||||
import org.apache.hudi.common.table.HoodieTableMetaClient;
|
||||
import org.apache.hudi.common.table.log.HoodieLogFormat;
|
||||
import org.apache.hudi.common.table.log.HoodieLogFormat.Writer;
|
||||
import org.apache.hudi.common.table.log.block.HoodieAvroDataBlock;
|
||||
import org.apache.hudi.common.table.log.block.HoodieLogBlock;
|
||||
import org.apache.hudi.common.table.log.block.HoodieLogBlock.HeaderMetadataType;
|
||||
import org.apache.hudi.common.table.timeline.HoodieTimeline;
|
||||
import org.apache.hudi.common.testutils.SchemaTestUtil;
|
||||
import org.apache.hudi.common.testutils.minicluster.HdfsTestService;
|
||||
import org.apache.hudi.common.testutils.minicluster.ZookeeperTestService;
|
||||
import org.apache.hudi.common.util.FileIOUtils;
|
||||
import org.apache.hudi.hive.HiveSyncConfig;
|
||||
import org.apache.hudi.hive.HiveSyncTool;
|
||||
import org.apache.hudi.hive.HoodieHiveClient;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.avro.generic.IndexedRecord;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.hadoop.hdfs.MiniDFSCluster;
|
||||
import org.apache.hadoop.hive.conf.HiveConf;
|
||||
import org.apache.hive.service.server.HiveServer2;
|
||||
import org.apache.parquet.avro.AvroSchemaConverter;
|
||||
import org.apache.parquet.hadoop.ParquetWriter;
|
||||
import org.apache.parquet.hadoop.metadata.CompressionCodecName;
|
||||
import org.apache.zookeeper.server.ZooKeeperServer;
|
||||
import org.joda.time.DateTime;
|
||||
import org.joda.time.format.DateTimeFormat;
|
||||
import org.joda.time.format.DateTimeFormatter;
|
||||
import org.junit.platform.commons.JUnitException;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.net.URISyntaxException;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.HashMap;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.Set;
|
||||
import java.util.UUID;
|
||||
|
||||
import static org.junit.jupiter.api.Assertions.fail;
|
||||
|
||||
@SuppressWarnings("SameParameterValue")
|
||||
public class HiveTestUtil {
|
||||
|
||||
private static MiniDFSCluster dfsCluster;
|
||||
private static ZooKeeperServer zkServer;
|
||||
private static HiveServer2 hiveServer;
|
||||
private static HiveTestService hiveTestService;
|
||||
private static Configuration configuration;
|
||||
public static HiveSyncConfig hiveSyncConfig;
|
||||
private static DateTimeFormatter dtfOut;
|
||||
public static FileSystem fileSystem;
|
||||
private static Set<String> createdTablesSet = new HashSet<>();
|
||||
|
||||
public static void setUp() throws IOException, InterruptedException {
|
||||
if (dfsCluster == null) {
|
||||
HdfsTestService service = new HdfsTestService();
|
||||
dfsCluster = service.start(true);
|
||||
configuration = service.getHadoopConf();
|
||||
}
|
||||
if (zkServer == null) {
|
||||
ZookeeperTestService zkService = new ZookeeperTestService(configuration);
|
||||
zkServer = zkService.start();
|
||||
}
|
||||
if (hiveServer == null) {
|
||||
hiveTestService = new HiveTestService(configuration);
|
||||
hiveServer = hiveTestService.start();
|
||||
}
|
||||
fileSystem = FileSystem.get(configuration);
|
||||
|
||||
hiveSyncConfig = new HiveSyncConfig();
|
||||
hiveSyncConfig.jdbcUrl = "jdbc:hive2://127.0.0.1:9999/";
|
||||
hiveSyncConfig.hiveUser = "";
|
||||
hiveSyncConfig.hivePass = "";
|
||||
hiveSyncConfig.databaseName = "testdb";
|
||||
hiveSyncConfig.tableName = "test1";
|
||||
hiveSyncConfig.basePath = "/tmp/hdfs/TestHiveSyncTool/";
|
||||
hiveSyncConfig.assumeDatePartitioning = true;
|
||||
hiveSyncConfig.usePreApacheInputFormat = false;
|
||||
hiveSyncConfig.partitionFields = Collections.singletonList("datestr");
|
||||
|
||||
dtfOut = DateTimeFormat.forPattern("yyyy/MM/dd");
|
||||
|
||||
clear();
|
||||
}
|
||||
|
||||
public static void clear() throws IOException {
|
||||
fileSystem.delete(new Path(hiveSyncConfig.basePath), true);
|
||||
HoodieTableMetaClient.initTableType(configuration, hiveSyncConfig.basePath, HoodieTableType.COPY_ON_WRITE,
|
||||
hiveSyncConfig.tableName, HoodieAvroPayload.class.getName());
|
||||
|
||||
HoodieHiveClient client = new HoodieHiveClient(hiveSyncConfig, hiveServer.getHiveConf(), fileSystem);
|
||||
for (String tableName : createdTablesSet) {
|
||||
client.updateHiveSQL("drop table if exists " + tableName);
|
||||
}
|
||||
createdTablesSet.clear();
|
||||
client.updateHiveSQL("drop database if exists " + hiveSyncConfig.databaseName);
|
||||
client.updateHiveSQL("create database " + hiveSyncConfig.databaseName);
|
||||
}
|
||||
|
||||
public static HiveConf getHiveConf() {
|
||||
return hiveServer.getHiveConf();
|
||||
}
|
||||
|
||||
public static void shutdown() {
|
||||
if (hiveServer != null) {
|
||||
hiveServer.stop();
|
||||
}
|
||||
if (hiveTestService != null) {
|
||||
hiveTestService.stop();
|
||||
}
|
||||
if (dfsCluster != null) {
|
||||
dfsCluster.shutdown();
|
||||
}
|
||||
if (zkServer != null) {
|
||||
zkServer.shutdown();
|
||||
}
|
||||
}
|
||||
|
||||
public static void createCOWTable(String instantTime, int numberOfPartitions, boolean useSchemaFromCommitMetadata)
|
||||
throws IOException, URISyntaxException {
|
||||
Path path = new Path(hiveSyncConfig.basePath);
|
||||
FileIOUtils.deleteDirectory(new File(hiveSyncConfig.basePath));
|
||||
HoodieTableMetaClient.initTableType(configuration, hiveSyncConfig.basePath, HoodieTableType.COPY_ON_WRITE,
|
||||
hiveSyncConfig.tableName, HoodieAvroPayload.class.getName());
|
||||
boolean result = fileSystem.mkdirs(path);
|
||||
checkResult(result);
|
||||
DateTime dateTime = DateTime.now();
|
||||
HoodieCommitMetadata commitMetadata = createPartitions(numberOfPartitions, true,
|
||||
useSchemaFromCommitMetadata, dateTime, instantTime);
|
||||
createdTablesSet.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName);
|
||||
createCommitFile(commitMetadata, instantTime);
|
||||
}
|
||||
|
||||
public static void createMORTable(String commitTime, String deltaCommitTime, int numberOfPartitions,
|
||||
boolean createDeltaCommit, boolean useSchemaFromCommitMetadata)
|
||||
throws IOException, URISyntaxException, InterruptedException {
|
||||
Path path = new Path(hiveSyncConfig.basePath);
|
||||
FileIOUtils.deleteDirectory(new File(hiveSyncConfig.basePath));
|
||||
HoodieTableMetaClient.initTableType(configuration, hiveSyncConfig.basePath, HoodieTableType.MERGE_ON_READ,
|
||||
hiveSyncConfig.tableName, HoodieAvroPayload.class.getName());
|
||||
|
||||
boolean result = fileSystem.mkdirs(path);
|
||||
checkResult(result);
|
||||
DateTime dateTime = DateTime.now();
|
||||
HoodieCommitMetadata commitMetadata = createPartitions(numberOfPartitions, true,
|
||||
useSchemaFromCommitMetadata, dateTime, commitTime);
|
||||
createdTablesSet.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName);
|
||||
createdTablesSet
|
||||
.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE);
|
||||
HoodieCommitMetadata compactionMetadata = new HoodieCommitMetadata();
|
||||
commitMetadata.getPartitionToWriteStats()
|
||||
.forEach((key, value) -> value.forEach(l -> compactionMetadata.addWriteStat(key, l)));
|
||||
addSchemaToCommitMetadata(compactionMetadata, commitMetadata.getMetadata(HoodieCommitMetadata.SCHEMA_KEY),
|
||||
useSchemaFromCommitMetadata);
|
||||
createCompactionCommitFile(compactionMetadata, commitTime);
|
||||
if (createDeltaCommit) {
|
||||
// Write a delta commit
|
||||
HoodieCommitMetadata deltaMetadata = createLogFiles(commitMetadata.getPartitionToWriteStats(), true,
|
||||
useSchemaFromCommitMetadata);
|
||||
createDeltaCommitFile(deltaMetadata, deltaCommitTime);
|
||||
}
|
||||
}
|
||||
|
||||
public static void addCOWPartitions(int numberOfPartitions, boolean isParquetSchemaSimple,
|
||||
boolean useSchemaFromCommitMetadata, DateTime startFrom, String instantTime) throws IOException, URISyntaxException {
|
||||
HoodieCommitMetadata commitMetadata =
|
||||
createPartitions(numberOfPartitions, isParquetSchemaSimple, useSchemaFromCommitMetadata, startFrom, instantTime);
|
||||
createdTablesSet.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName);
|
||||
createCommitFile(commitMetadata, instantTime);
|
||||
}
|
||||
|
||||
public static void addMORPartitions(int numberOfPartitions, boolean isParquetSchemaSimple, boolean isLogSchemaSimple,
|
||||
boolean useSchemaFromCommitMetadata, DateTime startFrom, String instantTime, String deltaCommitTime)
|
||||
throws IOException, URISyntaxException, InterruptedException {
|
||||
HoodieCommitMetadata commitMetadata = createPartitions(numberOfPartitions, isParquetSchemaSimple,
|
||||
useSchemaFromCommitMetadata, startFrom, instantTime);
|
||||
createdTablesSet.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_READ_OPTIMIZED_TABLE);
|
||||
createdTablesSet.add(hiveSyncConfig.databaseName + "." + hiveSyncConfig.tableName + HiveSyncTool.SUFFIX_SNAPSHOT_TABLE);
|
||||
HoodieCommitMetadata compactionMetadata = new HoodieCommitMetadata();
|
||||
commitMetadata.getPartitionToWriteStats()
|
||||
.forEach((key, value) -> value.forEach(l -> compactionMetadata.addWriteStat(key, l)));
|
||||
addSchemaToCommitMetadata(compactionMetadata, commitMetadata.getMetadata(HoodieCommitMetadata.SCHEMA_KEY),
|
||||
useSchemaFromCommitMetadata);
|
||||
createCompactionCommitFile(compactionMetadata, instantTime);
|
||||
HoodieCommitMetadata deltaMetadata = createLogFiles(commitMetadata.getPartitionToWriteStats(), isLogSchemaSimple,
|
||||
useSchemaFromCommitMetadata);
|
||||
createDeltaCommitFile(deltaMetadata, deltaCommitTime);
|
||||
}
|
||||
|
||||
private static HoodieCommitMetadata createLogFiles(Map<String, List<HoodieWriteStat>> partitionWriteStats,
|
||||
boolean isLogSchemaSimple, boolean useSchemaFromCommitMetadata)
|
||||
throws InterruptedException, IOException, URISyntaxException {
|
||||
HoodieCommitMetadata commitMetadata = new HoodieCommitMetadata();
|
||||
for (Entry<String, List<HoodieWriteStat>> wEntry : partitionWriteStats.entrySet()) {
|
||||
String partitionPath = wEntry.getKey();
|
||||
for (HoodieWriteStat wStat : wEntry.getValue()) {
|
||||
Path path = new Path(wStat.getPath());
|
||||
HoodieBaseFile dataFile = new HoodieBaseFile(fileSystem.getFileStatus(path));
|
||||
HoodieLogFile logFile = generateLogData(path, isLogSchemaSimple);
|
||||
HoodieDeltaWriteStat writeStat = new HoodieDeltaWriteStat();
|
||||
writeStat.setFileId(dataFile.getFileId());
|
||||
writeStat.setPath(logFile.getPath().toString());
|
||||
commitMetadata.addWriteStat(partitionPath, writeStat);
|
||||
}
|
||||
}
|
||||
addSchemaToCommitMetadata(commitMetadata, isLogSchemaSimple, useSchemaFromCommitMetadata);
|
||||
return commitMetadata;
|
||||
}
|
||||
|
||||
private static HoodieCommitMetadata createPartitions(int numberOfPartitions, boolean isParquetSchemaSimple,
|
||||
boolean useSchemaFromCommitMetadata, DateTime startFrom, String instantTime) throws IOException, URISyntaxException {
|
||||
startFrom = startFrom.withTimeAtStartOfDay();
|
||||
|
||||
HoodieCommitMetadata commitMetadata = new HoodieCommitMetadata();
|
||||
for (int i = 0; i < numberOfPartitions; i++) {
|
||||
String partitionPath = dtfOut.print(startFrom);
|
||||
Path partPath = new Path(hiveSyncConfig.basePath + "/" + partitionPath);
|
||||
fileSystem.makeQualified(partPath);
|
||||
fileSystem.mkdirs(partPath);
|
||||
List<HoodieWriteStat> writeStats = createTestData(partPath, isParquetSchemaSimple, instantTime);
|
||||
startFrom = startFrom.minusDays(1);
|
||||
writeStats.forEach(s -> commitMetadata.addWriteStat(partitionPath, s));
|
||||
}
|
||||
addSchemaToCommitMetadata(commitMetadata, isParquetSchemaSimple, useSchemaFromCommitMetadata);
|
||||
return commitMetadata;
|
||||
}
|
||||
|
||||
private static List<HoodieWriteStat> createTestData(Path partPath, boolean isParquetSchemaSimple, String instantTime)
|
||||
throws IOException, URISyntaxException {
|
||||
List<HoodieWriteStat> writeStats = new ArrayList<>();
|
||||
for (int i = 0; i < 5; i++) {
|
||||
// Create 5 files
|
||||
String fileId = UUID.randomUUID().toString();
|
||||
Path filePath = new Path(partPath.toString() + "/" + FSUtils.makeDataFileName(instantTime, "1-0-1", fileId));
|
||||
generateParquetData(filePath, isParquetSchemaSimple);
|
||||
HoodieWriteStat writeStat = new HoodieWriteStat();
|
||||
writeStat.setFileId(fileId);
|
||||
writeStat.setPath(filePath.toString());
|
||||
writeStats.add(writeStat);
|
||||
}
|
||||
return writeStats;
|
||||
}
|
||||
|
||||
@SuppressWarnings({"unchecked", "deprecation"})
|
||||
private static void generateParquetData(Path filePath, boolean isParquetSchemaSimple)
|
||||
throws IOException, URISyntaxException {
|
||||
Schema schema = getTestDataSchema(isParquetSchemaSimple);
|
||||
org.apache.parquet.schema.MessageType parquetSchema = new AvroSchemaConverter().convert(schema);
|
||||
BloomFilter filter = BloomFilterFactory.createBloomFilter(1000, 0.0001, -1,
|
||||
BloomFilterTypeCode.SIMPLE.name());
|
||||
HoodieAvroWriteSupport writeSupport = new HoodieAvroWriteSupport(parquetSchema, schema, filter);
|
||||
ParquetWriter writer = new ParquetWriter(filePath, writeSupport, CompressionCodecName.GZIP, 120 * 1024 * 1024,
|
||||
ParquetWriter.DEFAULT_PAGE_SIZE, ParquetWriter.DEFAULT_PAGE_SIZE, ParquetWriter.DEFAULT_IS_DICTIONARY_ENABLED,
|
||||
ParquetWriter.DEFAULT_IS_VALIDATING_ENABLED, ParquetWriter.DEFAULT_WRITER_VERSION, fileSystem.getConf());
|
||||
|
||||
List<IndexedRecord> testRecords = (isParquetSchemaSimple ? SchemaTestUtil.generateTestRecords(0, 100)
|
||||
: SchemaTestUtil.generateEvolvedTestRecords(100, 100));
|
||||
testRecords.forEach(s -> {
|
||||
try {
|
||||
writer.write(s);
|
||||
} catch (IOException e) {
|
||||
fail("IOException while writing test records as parquet" + e.toString());
|
||||
}
|
||||
});
|
||||
writer.close();
|
||||
}
|
||||
|
||||
private static HoodieLogFile generateLogData(Path parquetFilePath, boolean isLogSchemaSimple)
|
||||
throws IOException, InterruptedException, URISyntaxException {
|
||||
Schema schema = getTestDataSchema(isLogSchemaSimple);
|
||||
HoodieBaseFile dataFile = new HoodieBaseFile(fileSystem.getFileStatus(parquetFilePath));
|
||||
// Write a log file for this parquet file
|
||||
Writer logWriter = HoodieLogFormat.newWriterBuilder().onParentPath(parquetFilePath.getParent())
|
||||
.withFileExtension(HoodieLogFile.DELTA_EXTENSION).withFileId(dataFile.getFileId())
|
||||
.overBaseCommit(dataFile.getCommitTime()).withFs(fileSystem).build();
|
||||
List<IndexedRecord> records = (isLogSchemaSimple ? SchemaTestUtil.generateTestRecords(0, 100)
|
||||
: SchemaTestUtil.generateEvolvedTestRecords(100, 100));
|
||||
Map<HeaderMetadataType, String> header = new HashMap<>(2);
|
||||
header.put(HoodieLogBlock.HeaderMetadataType.INSTANT_TIME, dataFile.getCommitTime());
|
||||
header.put(HoodieLogBlock.HeaderMetadataType.SCHEMA, schema.toString());
|
||||
HoodieAvroDataBlock dataBlock = new HoodieAvroDataBlock(records, header);
|
||||
logWriter.appendBlock(dataBlock);
|
||||
logWriter.close();
|
||||
return logWriter.getLogFile();
|
||||
}
|
||||
|
||||
private static Schema getTestDataSchema(boolean isSimpleSchema) throws IOException {
|
||||
return isSimpleSchema ? SchemaTestUtil.getSimpleSchema() : SchemaTestUtil.getEvolvedSchema();
|
||||
}
|
||||
|
||||
private static void addSchemaToCommitMetadata(HoodieCommitMetadata commitMetadata, boolean isSimpleSchema,
|
||||
boolean useSchemaFromCommitMetadata) throws IOException {
|
||||
if (useSchemaFromCommitMetadata) {
|
||||
Schema dataSchema = getTestDataSchema(isSimpleSchema);
|
||||
commitMetadata.addMetadata(HoodieCommitMetadata.SCHEMA_KEY, dataSchema.toString());
|
||||
}
|
||||
}
|
||||
|
||||
private static void addSchemaToCommitMetadata(HoodieCommitMetadata commitMetadata, String schema,
|
||||
boolean useSchemaFromCommitMetadata) {
|
||||
if (useSchemaFromCommitMetadata) {
|
||||
commitMetadata.addMetadata(HoodieCommitMetadata.SCHEMA_KEY, schema);
|
||||
}
|
||||
}
|
||||
|
||||
private static void checkResult(boolean result) {
|
||||
if (!result) {
|
||||
throw new JUnitException("Could not initialize");
|
||||
}
|
||||
}
|
||||
|
||||
private static void createCommitFile(HoodieCommitMetadata commitMetadata, String instantTime) throws IOException {
|
||||
byte[] bytes = commitMetadata.toJsonString().getBytes(StandardCharsets.UTF_8);
|
||||
Path fullPath = new Path(hiveSyncConfig.basePath + "/" + HoodieTableMetaClient.METAFOLDER_NAME + "/"
|
||||
+ HoodieTimeline.makeCommitFileName(instantTime));
|
||||
FSDataOutputStream fsout = fileSystem.create(fullPath, true);
|
||||
fsout.write(bytes);
|
||||
fsout.close();
|
||||
}
|
||||
|
||||
private static void createCompactionCommitFile(HoodieCommitMetadata commitMetadata, String instantTime)
|
||||
throws IOException {
|
||||
byte[] bytes = commitMetadata.toJsonString().getBytes(StandardCharsets.UTF_8);
|
||||
Path fullPath = new Path(hiveSyncConfig.basePath + "/" + HoodieTableMetaClient.METAFOLDER_NAME + "/"
|
||||
+ HoodieTimeline.makeCommitFileName(instantTime));
|
||||
FSDataOutputStream fsout = fileSystem.create(fullPath, true);
|
||||
fsout.write(bytes);
|
||||
fsout.close();
|
||||
}
|
||||
|
||||
private static void createDeltaCommitFile(HoodieCommitMetadata deltaCommitMetadata, String deltaCommitTime)
|
||||
throws IOException {
|
||||
byte[] bytes = deltaCommitMetadata.toJsonString().getBytes(StandardCharsets.UTF_8);
|
||||
Path fullPath = new Path(hiveSyncConfig.basePath + "/" + HoodieTableMetaClient.METAFOLDER_NAME + "/"
|
||||
+ HoodieTimeline.makeDeltaFileName(deltaCommitTime));
|
||||
FSDataOutputStream fsout = fileSystem.create(fullPath, true);
|
||||
fsout.write(bytes);
|
||||
fsout.close();
|
||||
}
|
||||
|
||||
public static Set<String> getCreatedTablesSet() {
|
||||
return createdTablesSet;
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,29 @@
|
||||
###
|
||||
# Licensed to the Apache Software Foundation (ASF) under one
|
||||
# or more contributor license agreements. See the NOTICE file
|
||||
# distributed with this work for additional information
|
||||
# regarding copyright ownership. The ASF licenses this file
|
||||
# to you under the Apache License, Version 2.0 (the
|
||||
# "License"); you may not use this file except in compliance
|
||||
# with the License. You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
###
|
||||
log4j.rootLogger=WARN, CONSOLE
|
||||
log4j.logger.org.apache.hudi=DEBUG
|
||||
|
||||
# CONSOLE is set to be a ConsoleAppender.
|
||||
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
|
||||
# CONSOLE uses PatternLayout.
|
||||
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
|
||||
log4j.appender.CONSOLE.layout.ConversionPattern=[%-5p] %d %c %x - %m%n
|
||||
log4j.appender.CONSOLE.filter.a=org.apache.log4j.varia.LevelRangeFilter
|
||||
log4j.appender.CONSOLE.filter.a.AcceptOnMatch=true
|
||||
log4j.appender.CONSOLE.filter.a.LevelMin=WARN
|
||||
log4j.appender.CONSOLE.filter.a.LevelMax=FATAL
|
||||
@@ -0,0 +1,30 @@
|
||||
###
|
||||
# Licensed to the Apache Software Foundation (ASF) under one
|
||||
# or more contributor license agreements. See the NOTICE file
|
||||
# distributed with this work for additional information
|
||||
# regarding copyright ownership. The ASF licenses this file
|
||||
# to you under the Apache License, Version 2.0 (the
|
||||
# "License"); you may not use this file except in compliance
|
||||
# with the License. You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
###
|
||||
log4j.rootLogger=WARN, CONSOLE
|
||||
log4j.logger.org.apache=INFO
|
||||
log4j.logger.org.apache.hudi=DEBUG
|
||||
|
||||
# A1 is set to be a ConsoleAppender.
|
||||
log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
|
||||
# A1 uses PatternLayout.
|
||||
log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
|
||||
log4j.appender.CONSOLE.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n
|
||||
log4j.appender.CONSOLE.filter.a=org.apache.log4j.varia.LevelRangeFilter
|
||||
log4j.appender.CONSOLE.filter.a.AcceptOnMatch=true
|
||||
log4j.appender.CONSOLE.filter.a.LevelMin=WARN
|
||||
log4j.appender.CONSOLE.filter.a.LevelMax=FATAL
|
||||
Reference in New Issue
Block a user