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[HUDI-1447] DeltaStreamer kafka source supports consuming from specified timestamp (#2438)

This commit is contained in:
liujinhui
2021-07-17 12:31:06 +08:00
committed by GitHub
parent 50c2b76d72
commit af837d2f18
7 changed files with 172 additions and 62 deletions

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@@ -38,6 +38,7 @@ import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.common.util.ReflectionUtils;
import org.apache.hudi.common.util.StringUtils;
import org.apache.hudi.common.util.ValidationUtils;
import org.apache.hudi.common.util.collection.Pair;
import org.apache.hudi.config.HoodieClusteringConfig;
@@ -59,6 +60,7 @@ import org.apache.hudi.utilities.schema.DelegatingSchemaProvider;
import org.apache.hudi.utilities.schema.SchemaProvider;
import org.apache.hudi.utilities.schema.SchemaSet;
import org.apache.hudi.utilities.sources.InputBatch;
import org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen;
import org.apache.hudi.utilities.transform.Transformer;
import com.codahale.metrics.Timer;
@@ -318,13 +320,12 @@ public class DeltaSync implements Serializable {
if (lastCommit.isPresent()) {
HoodieCommitMetadata commitMetadata = HoodieCommitMetadata
.fromBytes(commitTimelineOpt.get().getInstantDetails(lastCommit.get()).get(), HoodieCommitMetadata.class);
if (cfg.checkpoint != null && !cfg.checkpoint.equals(commitMetadata.getMetadata(CHECKPOINT_RESET_KEY))) {
if (cfg.checkpoint != null && (StringUtils.isNullOrEmpty(commitMetadata.getMetadata(CHECKPOINT_RESET_KEY))
|| !cfg.checkpoint.equals(commitMetadata.getMetadata(CHECKPOINT_RESET_KEY)))) {
resumeCheckpointStr = Option.of(cfg.checkpoint);
} else if (commitMetadata.getMetadata(CHECKPOINT_KEY) != null) {
} else if (!StringUtils.isNullOrEmpty(commitMetadata.getMetadata(CHECKPOINT_KEY))) {
//if previous checkpoint is an empty string, skip resume use Option.empty()
if (!commitMetadata.getMetadata(CHECKPOINT_KEY).isEmpty()) {
resumeCheckpointStr = Option.of(commitMetadata.getMetadata(CHECKPOINT_KEY));
}
resumeCheckpointStr = Option.of(commitMetadata.getMetadata(CHECKPOINT_KEY));
} else if (commitMetadata.getOperationType() == WriteOperationType.CLUSTER) {
// incase of CLUSTER commit, no checkpoint will be available in metadata.
resumeCheckpointStr = Option.empty();
@@ -336,6 +337,10 @@ public class DeltaSync implements Serializable {
+ commitTimelineOpt.get().getInstants().collect(Collectors.toList()) + ", CommitMetadata="
+ commitMetadata.toJsonString());
}
// KAFKA_CHECKPOINT_TYPE will be honored only for first batch.
if (!StringUtils.isNullOrEmpty(commitMetadata.getMetadata(CHECKPOINT_RESET_KEY))) {
props.remove(KafkaOffsetGen.Config.KAFKA_CHECKPOINT_TYPE.key());
}
}
} else {
String partitionColumns = HoodieWriterUtils.getPartitionColumns(keyGenerator);

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@@ -40,9 +40,6 @@ import org.apache.spark.streaming.kafka010.KafkaUtils;
import org.apache.spark.streaming.kafka010.LocationStrategies;
import org.apache.spark.streaming.kafka010.OffsetRange;
import static org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET;
import static org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config.DEFAULT_ENABLE_KAFKA_COMMIT_OFFSET;
/**
* Reads avro serialized Kafka data, based on the confluent schema-registry.
*/
@@ -104,7 +101,7 @@ public class AvroKafkaSource extends AvroSource {
@Override
public void onCommit(String lastCkptStr) {
if (this.props.getBoolean(ENABLE_KAFKA_COMMIT_OFFSET, DEFAULT_ENABLE_KAFKA_COMMIT_OFFSET)) {
if (this.props.getBoolean(KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET.key(), KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET.defaultValue())) {
offsetGen.commitOffsetToKafka(lastCkptStr);
}
}

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@@ -35,9 +35,6 @@ import org.apache.spark.streaming.kafka010.KafkaUtils;
import org.apache.spark.streaming.kafka010.LocationStrategies;
import org.apache.spark.streaming.kafka010.OffsetRange;
import static org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config.DEFAULT_ENABLE_KAFKA_COMMIT_OFFSET;
import static org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET;
/**
* Read json kafka data.
*/
@@ -77,7 +74,7 @@ public class JsonKafkaSource extends JsonSource {
@Override
public void onCommit(String lastCkptStr) {
if (this.props.getBoolean(ENABLE_KAFKA_COMMIT_OFFSET, DEFAULT_ENABLE_KAFKA_COMMIT_OFFSET)) {
if (this.props.getBoolean(KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET.key(), KafkaOffsetGen.Config.ENABLE_KAFKA_COMMIT_OFFSET.defaultValue())) {
offsetGen.commitOffsetToKafka(lastCkptStr);
}
}

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@@ -19,6 +19,7 @@
package org.apache.hudi.utilities.sources.helpers;
import org.apache.hudi.DataSourceUtils;
import org.apache.hudi.common.config.ConfigProperty;
import org.apache.hudi.common.config.TypedProperties;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.exception.HoodieDeltaStreamerException;
@@ -30,6 +31,7 @@ import org.apache.hudi.utilities.sources.AvroKafkaSource;
import org.apache.kafka.clients.consumer.CommitFailedException;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.consumer.OffsetAndTimestamp;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.TopicPartition;
@@ -46,6 +48,7 @@ import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.function.Function;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
@@ -160,28 +163,48 @@ public class KafkaOffsetGen {
*/
public static class Config {
private static final String KAFKA_TOPIC_NAME = "hoodie.deltastreamer.source.kafka.topic";
private static final String MAX_EVENTS_FROM_KAFKA_SOURCE_PROP = "hoodie.deltastreamer.kafka.source.maxEvents";
public static final String ENABLE_KAFKA_COMMIT_OFFSET = "hoodie.deltastreamer.source.kafka.enable.commit.offset";
public static final Boolean DEFAULT_ENABLE_KAFKA_COMMIT_OFFSET = false;
private static final ConfigProperty<String> KAFKA_TOPIC_NAME = ConfigProperty
.key("hoodie.deltastreamer.source.kafka.topic")
.noDefaultValue()
.withDocumentation("Kafka topic name.");
public static final ConfigProperty<String> KAFKA_CHECKPOINT_TYPE = ConfigProperty
.key("hoodie.deltastreamer.source.kafka.checkpoint.type")
.defaultValue("string")
.withDocumentation("Kafka chepoint type.");
public static final ConfigProperty<Boolean> ENABLE_KAFKA_COMMIT_OFFSET = ConfigProperty
.key("hoodie.deltastreamer.source.kafka.enable.commit.offset")
.defaultValue(false)
.withDocumentation("Automatically submits offset to kafka.");
public static final ConfigProperty<Long> MAX_EVENTS_FROM_KAFKA_SOURCE_PROP = ConfigProperty
.key("hoodie.deltastreamer.kafka.source.maxEvents")
.defaultValue(5000000L)
.withDocumentation("Maximum number of records obtained in each batch.");
// "auto.offset.reset" is kafka native config param. Do not change the config param name.
public static final String KAFKA_AUTO_OFFSET_RESET = "auto.offset.reset";
private static final KafkaResetOffsetStrategies DEFAULT_KAFKA_AUTO_OFFSET_RESET = KafkaResetOffsetStrategies.LATEST;
public static final long DEFAULT_MAX_EVENTS_FROM_KAFKA_SOURCE = 5000000;
public static long maxEventsFromKafkaSource = DEFAULT_MAX_EVENTS_FROM_KAFKA_SOURCE;
private static final ConfigProperty<KafkaResetOffsetStrategies> KAFKA_AUTO_OFFSET_RESET = ConfigProperty
.key("auto.offset.reset")
.defaultValue(KafkaResetOffsetStrategies.LATEST)
.withDocumentation("Kafka consumer strategy for reading data.");
public static final String KAFKA_CHECKPOINT_TYPE_TIMESTAMP = "timestamp";
}
private final Map<String, Object> kafkaParams;
private final TypedProperties props;
protected final String topicName;
private KafkaResetOffsetStrategies autoResetValue;
private final String kafkaCheckpointType;
public KafkaOffsetGen(TypedProperties props) {
this.props = props;
kafkaParams = excludeHoodieConfigs(props);
DataSourceUtils.checkRequiredProperties(props, Collections.singletonList(Config.KAFKA_TOPIC_NAME));
topicName = props.getString(Config.KAFKA_TOPIC_NAME);
String kafkaAutoResetOffsetsStr = props.getString(Config.KAFKA_AUTO_OFFSET_RESET, Config.DEFAULT_KAFKA_AUTO_OFFSET_RESET.name().toLowerCase());
DataSourceUtils.checkRequiredProperties(props, Collections.singletonList(Config.KAFKA_TOPIC_NAME.key()));
topicName = props.getString(Config.KAFKA_TOPIC_NAME.key());
kafkaCheckpointType = props.getString(Config.KAFKA_CHECKPOINT_TYPE.key(), Config.KAFKA_CHECKPOINT_TYPE.defaultValue());
String kafkaAutoResetOffsetsStr = props.getString(Config.KAFKA_AUTO_OFFSET_RESET.key(), Config.KAFKA_AUTO_OFFSET_RESET.defaultValue().name().toLowerCase());
boolean found = false;
for (KafkaResetOffsetStrategies entry: KafkaResetOffsetStrategies.values()) {
if (entry.name().toLowerCase().equals(kafkaAutoResetOffsetsStr)) {
@@ -194,7 +217,7 @@ public class KafkaOffsetGen {
throw new HoodieDeltaStreamerException(Config.KAFKA_AUTO_OFFSET_RESET + " config set to unknown value " + kafkaAutoResetOffsetsStr);
}
if (autoResetValue.equals(KafkaResetOffsetStrategies.GROUP)) {
this.kafkaParams.put(Config.KAFKA_AUTO_OFFSET_RESET, Config.DEFAULT_KAFKA_AUTO_OFFSET_RESET.name().toLowerCase());
this.kafkaParams.put(Config.KAFKA_AUTO_OFFSET_RESET.key(), Config.KAFKA_AUTO_OFFSET_RESET.defaultValue().name().toLowerCase());
}
}
@@ -212,6 +235,9 @@ public class KafkaOffsetGen {
Set<TopicPartition> topicPartitions = partitionInfoList.stream()
.map(x -> new TopicPartition(x.topic(), x.partition())).collect(Collectors.toSet());
if (Config.KAFKA_CHECKPOINT_TYPE_TIMESTAMP.equals(kafkaCheckpointType) && isValidTimestampCheckpointType(lastCheckpointStr)) {
lastCheckpointStr = getOffsetsByTimestamp(consumer, partitionInfoList, topicPartitions, topicName, Long.parseLong(lastCheckpointStr.get()));
}
// Determine the offset ranges to read from
if (lastCheckpointStr.isPresent() && !lastCheckpointStr.get().isEmpty() && checkTopicCheckpoint(lastCheckpointStr)) {
fromOffsets = fetchValidOffsets(consumer, lastCheckpointStr, topicPartitions);
@@ -237,8 +263,8 @@ public class KafkaOffsetGen {
}
// Come up with final set of OffsetRanges to read (account for new partitions, limit number of events)
long maxEventsToReadFromKafka = props.getLong(Config.MAX_EVENTS_FROM_KAFKA_SOURCE_PROP,
Config.maxEventsFromKafkaSource);
long maxEventsToReadFromKafka = props.getLong(Config.MAX_EVENTS_FROM_KAFKA_SOURCE_PROP.key(),
Config.MAX_EVENTS_FROM_KAFKA_SOURCE_PROP.defaultValue());
long numEvents;
if (sourceLimit == Long.MAX_VALUE) {
@@ -271,6 +297,20 @@ public class KafkaOffsetGen {
return checkpointOffsetReseter ? earliestOffsets : checkpointOffsets;
}
/**
* Check if the checkpoint is a timestamp.
* @param lastCheckpointStr
* @return
*/
private Boolean isValidTimestampCheckpointType(Option<String> lastCheckpointStr) {
if (!lastCheckpointStr.isPresent()) {
return false;
}
Pattern pattern = Pattern.compile("[-+]?[0-9]+(\\.[0-9]+)?");
Matcher isNum = pattern.matcher(lastCheckpointStr.get());
return isNum.matches() && (lastCheckpointStr.get().length() == 13 || lastCheckpointStr.get().length() == 10);
}
private Long delayOffsetCalculation(Option<String> lastCheckpointStr, Set<TopicPartition> topicPartitions, KafkaConsumer consumer) {
Long delayCount = 0L;
Map<TopicPartition, Long> checkpointOffsets = CheckpointUtils.strToOffsets(lastCheckpointStr.get());
@@ -283,6 +323,41 @@ public class KafkaOffsetGen {
return delayCount;
}
/**
* Get the checkpoint by timestamp.
* This method returns the checkpoint format based on the timestamp.
* example:
* 1. input: timestamp, etc.
* 2. output: topicName,partition_num_0:100,partition_num_1:101,partition_num_2:102.
*
* @param consumer
* @param topicName
* @param timestamp
* @return
*/
private Option<String> getOffsetsByTimestamp(KafkaConsumer consumer, List<PartitionInfo> partitionInfoList, Set<TopicPartition> topicPartitions,
String topicName, Long timestamp) {
Map<TopicPartition, Long> topicPartitionsTimestamp = partitionInfoList.stream()
.map(x -> new TopicPartition(x.topic(), x.partition()))
.collect(Collectors.toMap(Function.identity(), x -> timestamp));
Map<TopicPartition, Long> earliestOffsets = consumer.beginningOffsets(topicPartitions);
Map<TopicPartition, OffsetAndTimestamp> offsetAndTimestamp = consumer.offsetsForTimes(topicPartitionsTimestamp);
StringBuilder sb = new StringBuilder();
sb.append(topicName + ",");
for (Map.Entry<TopicPartition, OffsetAndTimestamp> map : offsetAndTimestamp.entrySet()) {
if (map.getValue() != null) {
sb.append(map.getKey().partition()).append(":").append(map.getValue().offset()).append(",");
} else {
sb.append(map.getKey().partition()).append(":").append(earliestOffsets.get(map.getKey())).append(",");
}
}
return Option.of(sb.deleteCharAt(sb.length() - 1).toString());
}
/**
* Check if topic exists.
* @param consumer kafka consumer

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@@ -58,7 +58,6 @@ import org.apache.hudi.utilities.sources.JdbcSource;
import org.apache.hudi.utilities.sources.JsonKafkaSource;
import org.apache.hudi.utilities.sources.ParquetDFSSource;
import org.apache.hudi.utilities.sources.TestDataSource;
import org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config;
import org.apache.hudi.utilities.testutils.JdbcTestUtils;
import org.apache.hudi.utilities.testutils.UtilitiesTestBase;
import org.apache.hudi.utilities.testutils.sources.DistributedTestDataSource;
@@ -139,6 +138,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
private static final int PARQUET_NUM_RECORDS = 5;
private static final int CSV_NUM_RECORDS = 3;
private static final int JSON_KAFKA_NUM_RECORDS = 5;
private String kafkaCheckpointType = "string";
// Required fields
private static final String TGT_BASE_PATH_PARAM = "--target-base-path";
private static final String TGT_BASE_PATH_VALUE = "s3://mybucket/blah";
@@ -274,7 +274,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
protected static void populateCommonKafkaProps(TypedProperties props) {
//Kafka source properties
props.setProperty("bootstrap.servers", testUtils.brokerAddress());
props.setProperty(Config.KAFKA_AUTO_OFFSET_RESET, "earliest");
props.setProperty("auto.offset.reset", "earliest");
props.setProperty("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.setProperty("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.setProperty("hoodie.deltastreamer.kafka.source.maxEvents", String.valueOf(5000));
@@ -360,12 +360,13 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
String propsFilename, boolean enableHiveSync, boolean useSchemaProviderClass, boolean updatePayloadClass,
String payloadClassName, String tableType) {
return makeConfig(basePath, op, TestDataSource.class.getName(), transformerClassNames, propsFilename, enableHiveSync,
useSchemaProviderClass, 1000, updatePayloadClass, payloadClassName, tableType, "timestamp");
useSchemaProviderClass, 1000, updatePayloadClass, payloadClassName, tableType, "timestamp", null);
}
static HoodieDeltaStreamer.Config makeConfig(String basePath, WriteOperationType op, String sourceClassName,
List<String> transformerClassNames, String propsFilename, boolean enableHiveSync, boolean useSchemaProviderClass,
int sourceLimit, boolean updatePayloadClass, String payloadClassName, String tableType, String sourceOrderingField) {
int sourceLimit, boolean updatePayloadClass, String payloadClassName, String tableType, String sourceOrderingField,
String checkpoint) {
HoodieDeltaStreamer.Config cfg = new HoodieDeltaStreamer.Config();
cfg.targetBasePath = basePath;
cfg.targetTableName = "hoodie_trips";
@@ -377,6 +378,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
cfg.sourceOrderingField = sourceOrderingField;
cfg.propsFilePath = dfsBasePath + "/" + propsFilename;
cfg.sourceLimit = sourceLimit;
cfg.checkpoint = checkpoint;
if (updatePayloadClass) {
cfg.payloadClassName = payloadClassName;
}
@@ -601,7 +603,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
Arguments.of(allConfig, conf)
);
}
@ParameterizedTest
@MethodSource("provideValidCliArgs")
public void testValidCommandLineArgs(String[] args, HoodieDeltaStreamer.Config expected) {
@@ -1399,7 +1401,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
HoodieDeltaStreamer deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.INSERT, ParquetDFSSource.class.getName(),
transformerClassNames, PROPS_FILENAME_TEST_PARQUET, false,
useSchemaProvider, 100000, false, null, null, "timestamp"), jsc);
useSchemaProvider, 100000, false, null, null, "timestamp", null), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(PARQUET_NUM_RECORDS, tableBasePath + "/*/*.parquet", sqlContext);
testNum++;
@@ -1414,10 +1416,11 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
props.setProperty("hoodie.datasource.write.recordkey.field", "_row_key");
props.setProperty("hoodie.datasource.write.partitionpath.field", "not_there");
props.setProperty("hoodie.deltastreamer.source.dfs.root", JSON_KAFKA_SOURCE_ROOT);
props.setProperty("hoodie.deltastreamer.source.kafka.topic",topicName);
props.setProperty("hoodie.deltastreamer.source.kafka.topic", topicName);
props.setProperty("hoodie.deltastreamer.source.kafka.checkpoint.type", kafkaCheckpointType);
props.setProperty("hoodie.deltastreamer.schemaprovider.source.schema.file", dfsBasePath + "/source_uber.avsc");
props.setProperty("hoodie.deltastreamer.schemaprovider.target.schema.file", dfsBasePath + "/target_uber.avsc");
props.setProperty(Config.KAFKA_AUTO_OFFSET_RESET, autoResetValue);
props.setProperty("auto.offset.reset", autoResetValue);
UtilitiesTestBase.Helpers.savePropsToDFS(props, dfs, dfsBasePath + "/" + propsFileName);
}
@@ -1440,7 +1443,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
HoodieDeltaStreamer deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.INSERT, ParquetDFSSource.class.getName(),
Collections.EMPTY_LIST, PROPS_FILENAME_TEST_PARQUET, false,
false, 100000, false, null, null, "timestamp"), jsc);
false, 100000, false, null, null, "timestamp", null), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(parquetRecords, tableBasePath + "/*/*.parquet", sqlContext);
deltaStreamer.shutdownGracefully();
@@ -1453,7 +1456,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.UPSERT, JsonKafkaSource.class.getName(),
Collections.EMPTY_LIST, PROPS_FILENAME_TEST_JSON_KAFKA, false,
true, 100000, false, null, null, "timestamp"), jsc);
true, 100000, false, null, null, "timestamp", null), jsc);
deltaStreamer.sync();
// if auto reset value is set to LATEST, this all kafka records so far may not be synced.
int totalExpectedRecords = parquetRecords + ((autoResetToLatest) ? 0 : JSON_KAFKA_NUM_RECORDS);
@@ -1471,12 +1474,12 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
public void testJsonKafkaDFSSource() throws Exception {
topicName = "topic" + testNum;
prepareJsonKafkaDFSFiles(JSON_KAFKA_NUM_RECORDS, true, topicName);
prepareJsonKafkaDFSSource(PROPS_FILENAME_TEST_JSON_KAFKA, "earliest",topicName);
prepareJsonKafkaDFSSource(PROPS_FILENAME_TEST_JSON_KAFKA, "earliest", topicName);
String tableBasePath = dfsBasePath + "/test_json_kafka_table" + testNum;
HoodieDeltaStreamer deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.UPSERT, JsonKafkaSource.class.getName(),
Collections.EMPTY_LIST, PROPS_FILENAME_TEST_JSON_KAFKA, false,
true, 100000, false, null, null, "timestamp"), jsc);
true, 100000, false, null, null, "timestamp", null), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(JSON_KAFKA_NUM_RECORDS, tableBasePath + "/*/*.parquet", sqlContext);
@@ -1488,6 +1491,31 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
TestHelpers.assertRecordCount(totalRecords, tableBasePath + "/*/*.parquet", sqlContext);
}
@Test
public void testKafkaTimestampType() throws Exception {
topicName = "topic" + testNum;
kafkaCheckpointType = "timestamp";
prepareJsonKafkaDFSFiles(JSON_KAFKA_NUM_RECORDS, true, topicName);
prepareJsonKafkaDFSSource(PROPS_FILENAME_TEST_JSON_KAFKA, "earliest", topicName);
String tableBasePath = dfsBasePath + "/test_json_kafka_table" + testNum;
HoodieDeltaStreamer deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.UPSERT, JsonKafkaSource.class.getName(),
Collections.EMPTY_LIST, PROPS_FILENAME_TEST_JSON_KAFKA, false,
true, 100000, false, null,
null, "timestamp", String.valueOf(System.currentTimeMillis())), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(JSON_KAFKA_NUM_RECORDS, tableBasePath + "/*/*.parquet", sqlContext);
prepareJsonKafkaDFSFiles(JSON_KAFKA_NUM_RECORDS, false, topicName);
deltaStreamer = new HoodieDeltaStreamer(
TestHelpers.makeConfig(tableBasePath, WriteOperationType.UPSERT, JsonKafkaSource.class.getName(),
Collections.EMPTY_LIST, PROPS_FILENAME_TEST_JSON_KAFKA, false,
true, 100000, false, null, null,
"timestamp", String.valueOf(System.currentTimeMillis())), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(JSON_KAFKA_NUM_RECORDS * 2, tableBasePath + "/*/*.parquet", sqlContext);
}
@Test
public void testParquetSourceToKafkaSourceEarliestAutoResetValue() throws Exception {
testDeltaStreamerTransitionFromParquetToKafkaSource(false);
@@ -1566,7 +1594,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
new HoodieDeltaStreamer(TestHelpers.makeConfig(
tableBasePath, WriteOperationType.INSERT, CsvDFSSource.class.getName(),
transformerClassNames, PROPS_FILENAME_TEST_CSV, false,
useSchemaProvider, 1000, false, null, null, sourceOrderingField), jsc);
useSchemaProvider, 1000, false, null, null, sourceOrderingField, null), jsc);
deltaStreamer.sync();
TestHelpers.assertRecordCount(CSV_NUM_RECORDS, tableBasePath + "/*/*.parquet", sqlContext);
testNum++;
@@ -1679,7 +1707,7 @@ public class TestHoodieDeltaStreamer extends UtilitiesTestBase {
String tableBasePath = dfsBasePath + "/triprec";
HoodieDeltaStreamer.Config cfg = TestHelpers.makeConfig(tableBasePath, WriteOperationType.INSERT, JdbcSource.class.getName(),
null, "test-jdbc-source.properties", false,
false, sourceLimit, false, null, null, "timestamp");
false, sourceLimit, false, null, null, "timestamp", null);
cfg.continuousMode = true;
// Add 1000 records
JdbcTestUtils.clearAndInsert("000", numRecords, connection, new HoodieTestDataGenerator(), props);

View File

@@ -94,11 +94,11 @@ public class TestKafkaSource extends UtilitiesTestBase {
TypedProperties props = new TypedProperties();
props.setProperty("hoodie.deltastreamer.source.kafka.topic", TEST_TOPIC_NAME);
props.setProperty("bootstrap.servers", testUtils.brokerAddress());
props.setProperty(Config.KAFKA_AUTO_OFFSET_RESET, resetStrategy);
props.setProperty("auto.offset.reset", resetStrategy);
props.setProperty(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "false");
props.setProperty("hoodie.deltastreamer.kafka.source.maxEvents",
maxEventsToReadFromKafkaSource != null ? String.valueOf(maxEventsToReadFromKafkaSource) :
String.valueOf(Config.maxEventsFromKafkaSource));
String.valueOf(Config.MAX_EVENTS_FROM_KAFKA_SOURCE_PROP.defaultValue()));
props.setProperty(ConsumerConfig.GROUP_ID_CONFIG, UUID.randomUUID().toString());
return props;
}
@@ -193,7 +193,6 @@ public class TestKafkaSource extends UtilitiesTestBase {
Source jsonSource = new JsonKafkaSource(props, jsc, sparkSession, schemaProvider, metrics);
SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
Config.maxEventsFromKafkaSource = 500;
/*
1. Extract without any checkpoint => get all the data, respecting default upper cap since both sourceLimit and
@@ -208,9 +207,6 @@ public class TestKafkaSource extends UtilitiesTestBase {
InputBatch<Dataset<Row>> fetch2 =
kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), 1500);
assertEquals(1000, fetch2.getBatch().get().count());
//reset the value back since it is a static variable
Config.maxEventsFromKafkaSource = Config.DEFAULT_MAX_EVENTS_FROM_KAFKA_SOURCE;
}
@Test
@@ -222,7 +218,7 @@ public class TestKafkaSource extends UtilitiesTestBase {
Source jsonSource = new JsonKafkaSource(props, jsc, sparkSession, schemaProvider, metrics);
SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
Config.maxEventsFromKafkaSource = 500;
props.setProperty("hoodie.deltastreamer.kafka.source.maxEvents", "500");
/*
1. maxEventsFromKafkaSourceProp set to more than generated insert records
@@ -240,9 +236,6 @@ public class TestKafkaSource extends UtilitiesTestBase {
InputBatch<Dataset<Row>> fetch2 =
kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), 300);
assertEquals(300, fetch2.getBatch().get().count());
//reset the value back since it is a static variable
Config.maxEventsFromKafkaSource = Config.DEFAULT_MAX_EVENTS_FROM_KAFKA_SOURCE;
}
@Test
@@ -300,7 +293,7 @@ public class TestKafkaSource extends UtilitiesTestBase {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
TypedProperties props = createPropsForJsonSource(null, "earliest");
props.put(ENABLE_KAFKA_COMMIT_OFFSET, "true");
props.put(ENABLE_KAFKA_COMMIT_OFFSET.key(), "true");
Source jsonSource = new JsonKafkaSource(props, jsc, sparkSession, schemaProvider, metrics);
SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);

View File

@@ -23,8 +23,8 @@ import org.apache.hudi.common.testutils.HoodieTestDataGenerator;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.exception.HoodieNotSupportedException;
import org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamerMetrics;
import org.apache.hudi.utilities.sources.helpers.KafkaOffsetGen.Config;
import org.apache.hudi.utilities.testutils.UtilitiesTestBase.Helpers;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
@@ -62,9 +62,10 @@ public class TestKafkaOffsetGen {
testUtils.teardown();
}
private TypedProperties getConsumerConfigs(String autoOffsetReset) {
private TypedProperties getConsumerConfigs(String autoOffsetReset, String kafkaCheckpointType) {
TypedProperties props = new TypedProperties();
props.put(Config.KAFKA_AUTO_OFFSET_RESET, autoOffsetReset);
props.put("hoodie.deltastreamer.source.kafka.checkpoint.type", kafkaCheckpointType);
props.put("auto.offset.reset", autoOffsetReset);
props.put("hoodie.deltastreamer.source.kafka.topic", TEST_TOPIC_NAME);
props.setProperty("bootstrap.servers", testUtils.brokerAddress());
props.setProperty("key.deserializer", StringDeserializer.class.getName());
@@ -79,7 +80,7 @@ public class TestKafkaOffsetGen {
testUtils.createTopic(TEST_TOPIC_NAME, 1);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("earliest"));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("earliest", "string"));
OffsetRange[] nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.empty(), 500, metrics);
assertEquals(1, nextOffsetRanges.length);
assertEquals(0, nextOffsetRanges[0].fromOffset());
@@ -96,7 +97,7 @@ public class TestKafkaOffsetGen {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
testUtils.createTopic(TEST_TOPIC_NAME, 1);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("latest"));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("latest", "string"));
OffsetRange[] nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.empty(), 500, metrics);
assertEquals(1, nextOffsetRanges.length);
assertEquals(1000, nextOffsetRanges[0].fromOffset());
@@ -109,7 +110,7 @@ public class TestKafkaOffsetGen {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
testUtils.createTopic(TEST_TOPIC_NAME, 1);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("latest"));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("latest", "string"));
OffsetRange[] nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.of(lastCheckpointString), 500, metrics);
assertEquals(1, nextOffsetRanges.length);
@@ -117,12 +118,26 @@ public class TestKafkaOffsetGen {
assertEquals(750, nextOffsetRanges[0].untilOffset());
}
@Test
public void testGetNextOffsetRangesFromTimestampCheckpointType() {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
testUtils.createTopic(TEST_TOPIC_NAME, 1);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("latest", "timestamp"));
OffsetRange[] nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.of(String.valueOf(System.currentTimeMillis() - 100000)), 500, metrics);
assertEquals(1, nextOffsetRanges.length);
assertEquals(0, nextOffsetRanges[0].fromOffset());
assertEquals(500, nextOffsetRanges[0].untilOffset());
}
@Test
public void testGetNextOffsetRangesFromMultiplePartitions() {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
testUtils.createTopic(TEST_TOPIC_NAME, 2);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("earliest"));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("earliest", "string"));
OffsetRange[] nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.empty(), 499, metrics);
assertEquals(2, nextOffsetRanges.length);
assertEquals(0, nextOffsetRanges[0].fromOffset());
@@ -136,7 +151,7 @@ public class TestKafkaOffsetGen {
HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
testUtils.createTopic(TEST_TOPIC_NAME, 2);
testUtils.sendMessages(TEST_TOPIC_NAME, Helpers.jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("group"));
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("group", "string"));
String lastCheckpointString = TEST_TOPIC_NAME + ",0:250,1:249";
kafkaOffsetGen.commitOffsetToKafka(lastCheckpointString);
// don't pass lastCheckpointString as we want to read from group committed offset
@@ -147,7 +162,7 @@ public class TestKafkaOffsetGen {
assertEquals(399, nextOffsetRanges[1].untilOffset());
// committed offsets are not present for the consumer group
kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("group"));
kafkaOffsetGen = new KafkaOffsetGen(getConsumerConfigs("group", "string"));
nextOffsetRanges = kafkaOffsetGen.getNextOffsetRanges(Option.empty(), 300, metrics);
assertEquals(500, nextOffsetRanges[0].fromOffset());
assertEquals(500, nextOffsetRanges[0].untilOffset());
@@ -157,7 +172,7 @@ public class TestKafkaOffsetGen {
@Test
public void testCheckTopicExists() {
TypedProperties props = getConsumerConfigs("latest");
TypedProperties props = getConsumerConfigs("latest", "string");
KafkaOffsetGen kafkaOffsetGen = new KafkaOffsetGen(props);
testUtils.createTopic(TEST_TOPIC_NAME, 1);
boolean topicExists = kafkaOffsetGen.checkTopicExists(new KafkaConsumer(props));