Fix Integration test flakiness in HoodieJavaStreamingApp (#1967)
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@@ -19,6 +19,7 @@
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package org.apache.hudi.integ;
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import org.apache.hudi.common.model.HoodieTableType;
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import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.common.util.collection.Pair;
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@@ -34,20 +35,23 @@ import static org.junit.jupiter.api.Assertions.assertTrue;
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*/
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public class ITTestHoodieSanity extends ITTestBase {
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private static final String HDFS_BASE_URL = "hdfs://namenode";
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private static final String HDFS_STREAMING_SOURCE = HDFS_BASE_URL + "/streaming/source/";
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private static final String HDFS_STREAMING_CKPT = HDFS_BASE_URL + "/streaming/ckpt/";
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enum PartitionType {
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SINGLE_KEY_PARTITIONED, MULTI_KEYS_PARTITIONED, NON_PARTITIONED,
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}
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@ParameterizedTest
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@ValueSource(strings = { HOODIE_JAVA_APP, HOODIE_JAVA_STREAMING_APP })
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@Test
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/**
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* A basic integration test that runs HoodieJavaApp to create a sample COW Hoodie with single partition key data-set
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* and performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive
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* console.
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*/
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public void testRunHoodieJavaAppOnSinglePartitionKeyCOWTable(String command) throws Exception {
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String hiveTableName = "docker_hoodie_single_partition_key_cow_test";
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testRunHoodieJavaApp(command, hiveTableName, HoodieTableType.COPY_ON_WRITE.name(),
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public void testRunHoodieJavaAppOnSinglePartitionKeyCOWTable() throws Exception {
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String hiveTableName = "docker_hoodie_single_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(hiveTableName, HoodieTableType.COPY_ON_WRITE.name(),
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PartitionType.SINGLE_KEY_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name());
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}
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@@ -59,9 +63,9 @@ public class ITTestHoodieSanity extends ITTestBase {
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* data-set and performs upserts on it. Hive integration and upsert functionality is checked by running a count query
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* in hive console.
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*/
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public void testRunHoodieJavaAppOnMultiPartitionKeysCOWTable(String command) throws Exception {
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String hiveTableName = "docker_hoodie_multi_partition_key_cow_test";
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testRunHoodieJavaApp(command, hiveTableName, HoodieTableType.COPY_ON_WRITE.name(),
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public void testRunHoodieJavaAppOnMultiPartitionKeysCOWTable() throws Exception {
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String hiveTableName = "docker_hoodie_multi_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(HOODIE_JAVA_APP, hiveTableName, HoodieTableType.COPY_ON_WRITE.name(),
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PartitionType.MULTI_KEYS_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name());
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}
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@@ -73,21 +77,20 @@ public class ITTestHoodieSanity extends ITTestBase {
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* console.
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*/
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public void testRunHoodieJavaAppOnNonPartitionedCOWTable() throws Exception {
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String hiveTableName = "docker_hoodie_non_partition_key_cow_test";
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String hiveTableName = "docker_hoodie_non_partition_key_cow_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(hiveTableName, HoodieTableType.COPY_ON_WRITE.name(), PartitionType.NON_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.COPY_ON_WRITE.name());
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}
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@ParameterizedTest
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@ValueSource(strings = { HOODIE_JAVA_APP, HOODIE_JAVA_STREAMING_APP })
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@Test
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/**
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* A basic integration test that runs HoodieJavaApp to create a sample MOR Hoodie with single partition key data-set
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* and performs upserts on it. Hive integration and upsert functionality is checked by running a count query in hive
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* console.
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*/
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public void testRunHoodieJavaAppOnSinglePartitionKeyMORTable(String command) throws Exception {
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String hiveTableName = "docker_hoodie_single_partition_key_mor_test";
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testRunHoodieJavaApp(command, hiveTableName, HoodieTableType.MERGE_ON_READ.name(),
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public void testRunHoodieJavaAppOnSinglePartitionKeyMORTable() throws Exception {
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String hiveTableName = "docker_hoodie_single_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(hiveTableName, HoodieTableType.MERGE_ON_READ.name(),
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PartitionType.SINGLE_KEY_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name());
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}
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@@ -100,7 +103,7 @@ public class ITTestHoodieSanity extends ITTestBase {
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* in hive console.
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*/
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public void testRunHoodieJavaAppOnMultiPartitionKeysMORTable(String command) throws Exception {
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String hiveTableName = "docker_hoodie_multi_partition_key_mor_test";
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String hiveTableName = "docker_hoodie_multi_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(command, hiveTableName, HoodieTableType.MERGE_ON_READ.name(),
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PartitionType.MULTI_KEYS_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name());
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@@ -113,7 +116,7 @@ public class ITTestHoodieSanity extends ITTestBase {
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* console.
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*/
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public void testRunHoodieJavaAppOnNonPartitionedMORTable() throws Exception {
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String hiveTableName = "docker_hoodie_non_partition_key_mor_test";
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String hiveTableName = "docker_hoodie_non_partition_key_mor_test_" + HoodieActiveTimeline.createNewInstantTime();
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testRunHoodieJavaApp(hiveTableName, HoodieTableType.MERGE_ON_READ.name(), PartitionType.NON_PARTITIONED);
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dropHiveTables(hiveTableName, HoodieTableType.MERGE_ON_READ.name());
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}
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@@ -127,7 +130,7 @@ public class ITTestHoodieSanity extends ITTestBase {
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throws Exception {
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String hdfsPath = "/" + hiveTableName;
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String hdfsUrl = "hdfs://namenode" + hdfsPath;
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String hdfsUrl = HDFS_BASE_URL + hdfsPath;
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// Drop Table if it exists
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try {
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@@ -155,6 +158,13 @@ public class ITTestHoodieSanity extends ITTestBase {
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cmd = command + " --hive-sync --table-path " + hdfsUrl + " --hive-url " + HIVE_SERVER_JDBC_URL
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+ " --table-type " + tableType + " --hive-table " + hiveTableName + " --non-partitioned";
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}
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if (command.equals(HOODIE_JAVA_STREAMING_APP)) {
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String streamingSourcePath = HDFS_STREAMING_SOURCE + hiveTableName;
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String streamingCkptPath = HDFS_STREAMING_CKPT + hiveTableName;
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cmd = cmd + " --streaming-source-path " + streamingSourcePath
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+ " --streaming-checkpointing-path " + streamingCkptPath;
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}
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executeCommandStringInDocker(ADHOC_1_CONTAINER, cmd, true);
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String snapshotTableName = tableType.equals(HoodieTableType.MERGE_ON_READ.name())
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