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hudi-integ-test/src/test/java/org/apache/hudi/integ/ITTestHoodieSanity.java
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| /* | ||
| * 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.integ; | ||
|
|
||
| import org.apache.hudi.common.model.HoodieTableType; | ||
| import org.apache.hudi.common.table.timeline.HoodieActiveTimeline; | ||
| import org.apache.hudi.common.util.Option; | ||
| import org.apache.hudi.common.util.collection.Pair; | ||
|
|
||
| import org.junit.jupiter.api.Test; | ||
| import org.junit.jupiter.params.ParameterizedTest; | ||
| import org.junit.jupiter.params.provider.ValueSource; | ||
|
|
||
| import static org.junit.jupiter.api.Assertions.assertEquals; | ||
| import static org.junit.jupiter.api.Assertions.assertTrue; | ||
|
|
||
| /** | ||
| * Smoke tests to run as part of verification. | ||
| */ | ||
| public class ITTestHoodieSanity extends ITTestBase { | ||
|
|
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| private static final String HDFS_BASE_URL = "hdfs://namenode"; | ||
| private static final String HDFS_STREAMING_SOURCE = HDFS_BASE_URL + "/streaming/source/"; | ||
| private static final String HDFS_STREAMING_CKPT = HDFS_BASE_URL + "/streaming/ckpt/"; | ||
|
|
||
| enum PartitionType { | ||
| SINGLE_KEY_PARTITIONED, MULTI_KEYS_PARTITIONED, NON_PARTITIONED, | ||
| } | ||
|
|
||
| @Test | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie with single partition key data-set | ||
| * and performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive | ||
| * console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnSinglePartitionKeyCOWTable() throws Exception { | ||
| String hiveTableName = "docker_hoodie_single_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(hiveTableName, HoodieTableType.COPY_ON_WRITE.name(), | ||
| PartitionType.SINGLE_KEY_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name()); | ||
| } | ||
|
|
||
| @ParameterizedTest | ||
| @ValueSource(strings = { HOODIE_JAVA_APP, HOODIE_JAVA_STREAMING_APP }) | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie with multiple partition-keys | ||
| * data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count query | ||
| * in hive console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnMultiPartitionKeysCOWTable() throws Exception { | ||
| String hiveTableName = "docker_hoodie_multi_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(HOODIE_JAVA_APP, hiveTableName, HoodieTableType.COPY_ON_WRITE.name(), | ||
| PartitionType.MULTI_KEYS_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name()); | ||
| } | ||
|
|
||
| @Test | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample non-partitioned COW Hoodie data-set and | ||
| * performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive | ||
| * console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnNonPartitionedCOWTable() throws Exception { | ||
| String hiveTableName = "docker_hoodie_non_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(hiveTableName, HoodieTableType.COPY_ON_WRITE.name(), PartitionType.NON_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name()); | ||
| } | ||
|
|
||
| @Test | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample MOR Hoodie with single partition key data-set | ||
| * and performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive | ||
| * console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnSinglePartitionKeyMORTable() throws Exception { | ||
| String hiveTableName = "docker_hoodie_single_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(hiveTableName, HoodieTableType.MERGE_ON_READ.name(), | ||
| PartitionType.SINGLE_KEY_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name()); | ||
| } | ||
|
|
||
| @ParameterizedTest | ||
| @ValueSource(strings = { HOODIE_JAVA_APP, HOODIE_JAVA_STREAMING_APP }) | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample MOR Hoodie with multiple partition-keys | ||
| * data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count query | ||
| * in hive console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnMultiPartitionKeysMORTable(String command) throws Exception { | ||
| String hiveTableName = "docker_hoodie_multi_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(command, hiveTableName, HoodieTableType.MERGE_ON_READ.name(), | ||
| PartitionType.MULTI_KEYS_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name()); | ||
| } | ||
|
|
||
| @Test | ||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample non-partitioned MOR Hoodie data-set and | ||
| * performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive | ||
| * console. | ||
| */ | ||
| public void testRunHoodieJavaAppOnNonPartitionedMORTable() throws Exception { | ||
| String hiveTableName = "docker_hoodie_non_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime(); | ||
| testRunHoodieJavaApp(hiveTableName, HoodieTableType.MERGE_ON_READ.name(), PartitionType.NON_PARTITIONED); | ||
| dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name()); | ||
| } | ||
|
|
||
| /** | ||
| * A basic integration test that runs HoodieJavaApp to create a sample Hoodie data-set and performs upserts on it. | ||
| * Hive integration and upsert functionality is checked by running a count query in hive console. TODO: Add | ||
| * spark-shell test-case | ||
| */ | ||
| public void testRunHoodieJavaApp(String command, String hiveTableName, String tableType, PartitionType partitionType) | ||
| throws Exception { | ||
|
|
||
| String hdfsPath = "/" + hiveTableName; | ||
| String hdfsUrl = HDFS_BASE_URL + hdfsPath; | ||
|
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||
| // Delete hdfs path if it exists | ||
| try { | ||
| executeCommandStringInDocker(ADHOC_1_CONTAINER, "hdfs dfs -rm -r " + hdfsUrl, true); | ||
| } catch (AssertionError ex) { | ||
| // Path not exists, pass | ||
| } | ||
|
|
||
| // Drop Table if it exists | ||
| try { | ||
| dropHiveTables(hiveTableName, tableType); | ||
| } catch (AssertionError ex) { | ||
| // In travis, sometimes, the hivemetastore is not ready even though we wait for the port to be up | ||
| // Workaround to sleep for 5 secs and retry | ||
| Thread.sleep(5000); | ||
| dropHiveTables(hiveTableName, tableType); | ||
| } | ||
|
|
||
| // Ensure table does not exist | ||
| Pair<String, String> stdOutErr = executeHiveCommand("show tables like '" + hiveTableName + "'"); | ||
| assertTrue(stdOutErr.getLeft().isEmpty(), "Dropped table " + hiveTableName + " exists!"); | ||
|
|
||
| // Run Hoodie Java App | ||
| String cmd; | ||
| if (partitionType == PartitionType.SINGLE_KEY_PARTITIONED) { | ||
| cmd = command + " --hive-sync --table-path " + hdfsUrl + " --hive-url " + HIVE_SERVER_JDBC_URL | ||
| + " --table-type " + tableType + " --hive-table " + hiveTableName; | ||
| } else if (partitionType == PartitionType.MULTI_KEYS_PARTITIONED) { | ||
| cmd = command + " --hive-sync --table-path " + hdfsUrl + " --hive-url " + HIVE_SERVER_JDBC_URL | ||
| + " --table-type " + tableType + " --hive-table " + hiveTableName + " --use-multi-partition-keys"; | ||
| } else { | ||
| cmd = command + " --hive-sync --table-path " + hdfsUrl + " --hive-url " + HIVE_SERVER_JDBC_URL | ||
| + " --table-type " + tableType + " --hive-table " + hiveTableName + " --non-partitioned"; | ||
| } | ||
|
|
||
| if (command.equals(HOODIE_JAVA_STREAMING_APP)) { | ||
| String streamingSourcePath = HDFS_STREAMING_SOURCE + hiveTableName; | ||
| String streamingCkptPath = HDFS_STREAMING_CKPT + hiveTableName; | ||
| cmd = cmd + " --streaming-source-path " + streamingSourcePath | ||
| + " --streaming-checkpointing-path " + streamingCkptPath; | ||
| } | ||
| executeCommandStringInDocker(ADHOC_1_CONTAINER, cmd, true); | ||
|
|
||
| String snapshotTableName = tableType.equals(HoodieTableType.MERGE_ON_READ.name()) | ||
| ? hiveTableName + "_rt" : hiveTableName; | ||
| Option<String> roTableName = tableType.equals(HoodieTableType.MERGE_ON_READ.name()) | ||
| ? Option.of(hiveTableName + "_ro") : Option.empty(); | ||
|
|
||
| // Ensure table does exist | ||
| stdOutErr = executeHiveCommand("show tables like '" + snapshotTableName + "'"); | ||
| assertEquals(snapshotTableName, stdOutErr.getLeft(), "Table exists"); | ||
|
|
||
| // Ensure row count is 80 (without duplicates) (100 - 20 deleted) | ||
| stdOutErr = executeHiveCommand("select count(1) from " + snapshotTableName); | ||
| assertEquals(80, Integer.parseInt(stdOutErr.getLeft().trim()), | ||
| "Expecting 80 rows to be present in the snapshot table"); | ||
|
|
||
| if (roTableName.isPresent()) { | ||
| stdOutErr = executeHiveCommand("select count(1) from " + roTableName.get()); | ||
| assertEquals(80, Integer.parseInt(stdOutErr.getLeft().trim()), | ||
| "Expecting 80 rows to be present in the snapshot table"); | ||
| } | ||
|
|
||
| // Make the HDFS dataset non-hoodie and run the same query; Checks for interoperability with non-hoodie tables | ||
| // Delete Hoodie directory to make it non-hoodie dataset | ||
| executeCommandStringInDocker(ADHOC_1_CONTAINER, "hdfs dfs -rm -r " + hdfsPath + "/.hoodie", true); | ||
|
|
||
| // Run the count query again. Without Hoodie, all versions are included. So we get a wrong count | ||
| if (tableType.equals(HoodieTableType.MERGE_ON_READ.name())) { | ||
| stdOutErr = executeHiveCommand("select count(1) from " + roTableName.get()); | ||
| } else { | ||
| stdOutErr = executeHiveCommand("select count(1) from " + snapshotTableName); | ||
| } | ||
| assertEquals(280, Integer.parseInt(stdOutErr.getLeft().trim()), | ||
| "Expecting 280 rows to be present in the new table"); | ||
| } | ||
|
|
||
| public void testRunHoodieJavaApp(String hiveTableName, String tableType, PartitionType partitionType) | ||
| throws Exception { | ||
| testRunHoodieJavaApp(HOODIE_JAVA_APP, hiveTableName, tableType, partitionType); | ||
| } | ||
|
|
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| private void dropHiveTables(String hiveTableName, String tableType) throws Exception { | ||
| if (tableType.equals(HoodieTableType.MERGE_ON_READ.name())) { | ||
| executeHiveCommand("drop table if exists " + hiveTableName + "_rt"); | ||
| executeHiveCommand("drop table if exists " + hiveTableName + "_ro"); | ||
| } else { | ||
| executeHiveCommand("drop table if exists " + hiveTableName); | ||
| } | ||
| } | ||
| } |