feat(executor): 完成任务提交执行的验证

This commit is contained in:
2024-01-09 16:22:04 +08:00
parent a95aa5fc53
commit fe0d779afb
19 changed files with 536 additions and 63 deletions

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@@ -0,0 +1,56 @@
package com.lanyuanxiaoyao.service.executor.task;
import cn.hutool.core.util.StrUtil;
import com.lanyuanxiaoyao.service.executor.core.TaskContext;
import com.lanyuanxiaoyao.service.executor.task.entity.RecordView;
import com.lanyuanxiaoyao.service.executor.task.functions.ReadLogFile;
import com.lanyuanxiaoyao.service.executor.task.helper.ArgumentsHelper;
import com.lanyuanxiaoyao.service.executor.task.helper.FlinkHelper;
import java.util.Map;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.eclipse.collections.api.factory.Lists;
import org.eclipse.collections.api.list.ImmutableList;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* avro 日志扫描
*
* @author lanyuanxiaoyao
* @date 2024-01-08
*/
public class AvroScanner {
private static final Logger logger = LoggerFactory.getLogger(AvroScanner.class);
public static void main(String[] args) throws Exception {
TaskContext taskContext = ArgumentsHelper.getContext(args);
logger.info("Context: {}", taskContext);
Map<String, Object> metadata = taskContext.getMetadata();
ArgumentsHelper.checkMetadata(taskContext, "hdfs");
String hdfs = (String) metadata.get("hdfs");
ArgumentsHelper.checkMetadata(taskContext, "key");
String key = (String) metadata.get("key");
Configuration configuration = new Configuration();
FileSystem fileSystem = FileSystem.get(configuration);
if (!fileSystem.exists(new Path(hdfs))) {
throw new RuntimeException(StrUtil.format("HDFS {} is not exists", hdfs));
}
ImmutableList<String> paths = Lists.immutable.of(fileSystem.listStatus(new Path(hdfs)))
.reject(status -> StrUtil.equals(".hoodie", status.getPath().getName()))
.collect(status -> status.getPath().toString());
StreamExecutionEnvironment environment = FlinkHelper.getBatchEnvironment();
environment.setParallelism(20);
FlinkHelper.getAllLogFilePaths(environment.fromCollection(paths.toList()))
.flatMap(new ReadLogFile())
.map(RecordView::toString)
.sinkTo(FlinkHelper.createFileSink(taskContext));
environment.execute(StrUtil.format("Search {} in {}", key, hdfs));
}
}

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@@ -1,50 +0,0 @@
package com.lanyuanxiaoyao.service.executor.task;
import com.lanyuanxiaoyao.service.executor.core.TaskContext;
import com.lanyuanxiaoyao.service.executor.task.helper.ArgumentsHelper;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Hello world
*
* @author lanyuanxiaoyao
* @date 2023-12-04
*/
public class Hello {
private static final Logger logger = LoggerFactory.getLogger(Hello.class);
public static void main(String[] args) throws Exception {
TaskContext taskContext = ArgumentsHelper.getContext(args);
logger.info("Context: {}", taskContext);
StreamExecutionEnvironment environment = StreamExecutionEnvironment.getExecutionEnvironment();
environment
.addSource(new SourceFunction<Integer>() {
@Override
public void run(SourceContext<Integer> context) {
for (int index = 0; index < 10; index++) {
context.collect(index);
}
}
@Override
public void cancel() {
}
})
.map(value -> "Index: " + value)
.addSink(new SinkFunction<String>() {
@Override
public void invoke(String value, Context context) throws Exception {
logger.info("Value: {}", value);
}
});
environment.execute("Service task: Hello");
}
}

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@@ -0,0 +1,65 @@
package com.lanyuanxiaoyao.service.executor.task.entity;
import cn.hutool.core.util.StrUtil;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
/**
* 记录
*
* @author lanyuanxiaoyao
* @date 2024-01-09
*/
public class RecordView implements Serializable, Comparable<RecordView> {
private final Operation operation;
private final String data;
private final String timestamp;
private final String file;
private final Map<String, Object> attributes;
public RecordView(Operation operation, String data, String timestamp, String file) {
this.operation = operation;
this.data = data;
this.timestamp = timestamp;
this.file = file;
this.attributes = new HashMap<>();
}
public Operation getOperation() {
return operation;
}
public String getData() {
return data;
}
public String getTimestamp() {
return timestamp;
}
public String getFile() {
return file;
}
public Map<String, Object> getAttributes() {
return attributes;
}
@Override
public String toString() {
return StrUtil.format("\n{} {} {}\n{}", operation, timestamp, file, data);
}
@Override
public int compareTo(RecordView o) {
if (o != null) {
return this.timestamp.compareTo(o.timestamp);
}
return 0;
}
public enum Operation {
DELETE, UPSERT, ROLLBACK, RESULT, SOURCE
}
}

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@@ -0,0 +1,112 @@
package com.lanyuanxiaoyao.service.executor.task.functions;
import cn.hutool.core.util.ObjectUtil;
import com.eshore.odcp.hudi.connector.Constants;
import com.lanyuanxiaoyao.service.executor.task.entity.RecordView;
import java.io.IOException;
import java.util.Arrays;
import java.util.Map;
import java.util.Objects;
import java.util.stream.Collectors;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.util.Collector;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hudi.common.model.HoodieLogFile;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.table.TableSchemaResolver;
import org.apache.hudi.common.table.log.HoodieLogFormat;
import org.apache.hudi.common.table.log.block.*;
import org.apache.hudi.common.util.ClosableIterator;
import org.apache.hudi.org.apache.avro.Schema;
import org.apache.hudi.org.apache.avro.generic.IndexedRecord;
import org.apache.hudi.org.apache.avro.util.Utf8;
import org.apache.parquet.avro.AvroSchemaConverter;
import org.apache.parquet.schema.MessageType;
/**
* 读取log文件
*
* @author lanyuanxiaoyao
* @date 2024-01-09
*/
public class ReadLogFile implements FlatMapFunction<String, RecordView> {
private RecordView parseData(String source, IndexedRecord record) {
Schema schema = record.getSchema();
StringBuilder builder = new StringBuilder();
for (Schema.Field field : schema.getFields()) {
builder.append(field.name())
.append("=")
.append(record.get(field.pos()))
.append(" ");
}
String timestamp = null;
Schema.Field commitTimeField = schema.getField(HoodieRecord.COMMIT_TIME_METADATA_FIELD);
if (ObjectUtil.isNotNull(commitTimeField)) {
timestamp = ((Utf8) record.get(commitTimeField.pos())).toString();
}
String latestOpTs = null;
Schema.Field latestOpTsField = schema.getField(Constants.LATEST_OPERATION_TIMESTAMP_KEY_NAME);
if (ObjectUtil.isNotNull(latestOpTsField)) {
latestOpTs = ((Utf8) record.get(latestOpTsField.pos())).toString();
}
String data = builder.toString();
RecordView recordView = new RecordView(RecordView.Operation.UPSERT, data, timestamp, source);
recordView.getAttributes().put(Constants.LATEST_OPERATION_TIMESTAMP_KEY_NAME, latestOpTs);
return recordView;
}
@Override
public void flatMap(String logFilePath, Collector<RecordView> out) throws IOException {
Configuration readerConfiguration = new Configuration();
FileSystem readerFilesystem = FileSystem.get(readerConfiguration);
MessageType messageType = TableSchemaResolver.readSchemaFromLogFile(readerFilesystem, new Path(logFilePath));
Schema schema = new AvroSchemaConverter().convert(Objects.requireNonNull(messageType));
try (HoodieLogFormat.Reader reader = HoodieLogFormat.newReader(readerFilesystem, new HoodieLogFile(new Path(logFilePath)), schema)) {
while (reader.hasNext()) {
HoodieLogBlock block = reader.next();
Map<HoodieLogBlock.HeaderMetadataType, String> logBlockHeader = block.getLogBlockHeader();
String instant = logBlockHeader.getOrDefault(HoodieLogBlock.HeaderMetadataType.INSTANT_TIME, null);
switch (block.getBlockType()) {
case AVRO_DATA_BLOCK:
HoodieAvroDataBlock avroDataBlock = (HoodieAvroDataBlock) block;
try (ClosableIterator<IndexedRecord> avroDataBlockRecordIterator = avroDataBlock.getRecordIterator()) {
while (avroDataBlockRecordIterator.hasNext()) {
RecordView recordView = parseData(logFilePath, avroDataBlockRecordIterator.next());
out.collect(recordView);
}
}
break;
case PARQUET_DATA_BLOCK:
HoodieParquetDataBlock parquetDataBlock = (HoodieParquetDataBlock) block;
try (ClosableIterator<IndexedRecord> parquetDataBlockRecordIterator = parquetDataBlock.getRecordIterator()) {
while (parquetDataBlockRecordIterator.hasNext()) {
RecordView recordView = parseData(logFilePath, parquetDataBlockRecordIterator.next());
out.collect(recordView);
}
}
break;
case CORRUPT_BLOCK:
break;
case DELETE_BLOCK:
HoodieDeleteBlock deleteBlock = (HoodieDeleteBlock) block;
String keys = Arrays.stream(deleteBlock.getRecordsToDelete())
.map(deleteRecord -> deleteRecord.getHoodieKey().toString())
.collect(Collectors.joining(" "));
out.collect(new RecordView(RecordView.Operation.DELETE, keys, instant, logFilePath));
break;
case COMMAND_BLOCK:
HoodieCommandBlock commandBlock = (HoodieCommandBlock) block;
Map<HoodieLogBlock.HeaderMetadataType, String> header = commandBlock.getLogBlockHeader();
out.collect(new RecordView(RecordView.Operation.ROLLBACK, header.get(HoodieLogBlock.HeaderMetadataType.TARGET_INSTANT_TIME), instant, logFilePath));
break;
default:
break;
}
}
}
}
}

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@@ -1,8 +1,10 @@
package com.lanyuanxiaoyao.service.executor.task.helper;
import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.StrUtil;
import com.lanyuanxiaoyao.service.executor.core.TaskConstants;
import com.lanyuanxiaoyao.service.executor.core.TaskContext;
import java.util.Map;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.core.JsonProcessingException;
@@ -20,4 +22,14 @@ public class ArgumentsHelper {
}
return JacksonHelper.getMapper().readValue(argsTool.get(TaskConstants.TASK_CONTEXT), TaskContext.class);
}
public static void checkMetadata(TaskContext context, String key) {
Map<String, Object> metadata = context.getMetadata();
if (ObjectUtil.isEmpty(metadata)) {
throw new RuntimeException("Metadata is empty");
}
if (!metadata.containsKey(key)) {
throw new RuntimeException(key + " argument is not found");
}
}
}

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@@ -0,0 +1,73 @@
package com.lanyuanxiaoyao.service.executor.task.helper;
import com.lanyuanxiaoyao.service.executor.core.TaskContext;
import java.util.Arrays;
import java.util.Iterator;
import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.common.serialization.SimpleStringEncoder;
import org.apache.flink.api.java.functions.FlatMapIterator;
import org.apache.flink.connector.file.sink.FileSink;
import org.apache.flink.core.fs.Path;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.filesystem.OutputFileConfig;
import org.apache.flink.streaming.api.functions.sink.filesystem.bucketassigners.BasePathBucketAssigner;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hudi.common.fs.FSUtils;
/**
* @author lanyuanxiaoyao
* @date 2024-01-08
*/
public class FlinkHelper {
public static StreamExecutionEnvironment getSteamEnvironment() {
return StreamExecutionEnvironment.getExecutionEnvironment();
}
public static StreamExecutionEnvironment getBatchEnvironment() {
StreamExecutionEnvironment environment = getSteamEnvironment();
environment.setRuntimeMode(RuntimeExecutionMode.BATCH);
return environment;
}
public static FileSink<String> createFileSink(TaskContext context) {
return createFileSink(context.getTaskId(), context.getResultPath());
}
public static FileSink<String> createFileSink(String taskId, String resultPath) {
return FileSink
.<String>forRowFormat(new Path(resultPath + "/" + taskId), new SimpleStringEncoder<>("UTF-8"))
.withBucketAssigner(new BasePathBucketAssigner<>())
.withOutputFileConfig(new OutputFileConfig("task", ""))
.build();
}
public static DataStream<String> getAllFilePaths(DataStream<String> source) {
return source
.map(path -> {
Configuration configuration = new Configuration();
FileSystem fileSystem = FileSystem.get(configuration);
FileStatus[] statuses = fileSystem.listStatus(new org.apache.hadoop.fs.Path(path));
String[] results = new String[statuses.length];
for (int index = 0; index < statuses.length; index++) {
results[index] = statuses[index].getPath().toString();
}
return results;
})
.name("Read files")
.flatMap(new FlatMapIterator<String[], String>() {
@Override
public Iterator<String> flatMap(String[] strings) {
return Arrays.asList(strings).iterator();
}
});
}
public static DataStream<String> getAllLogFilePaths(DataStream<String> source) {
return getAllFilePaths(source)
.filter(FSUtils::isLogFile)
.name("Filter log files");
}
}