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Optimize module code dependencies and packaging
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ideal
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Aug 28, 2018
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| log4j.rootLogger=INFO, console | ||
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| ##设置不同包的日志级别 | ||
| log4j.logger.org.apache.kafka=WARN | ||
| log4j.logger.org.apache.spark=WARN | ||
| log4j.logger.org.spark_project.jetty=WARN | ||
| log4j.logger.org.apache.parquet=WARN | ||
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| # Set everything to be logged to the console | ||
| log4j.appender.console=org.apache.log4j.ConsoleAppender | ||
| log4j.appender.console.target=System.out | ||
| log4j.appender.console.layout=org.apache.log4j.PatternLayout | ||
| log4j.appender.console.layout.ConversionPattern=%d{yy-MM-dd HH:mm:ss} %p[%F:%L]-%m%n | ||
| # %d{yy-MM-dd HH:mm:ss} %p[%F:%L]-%m%n | ||
| # %d{HH:mm:ss,SSS} %-5p %-60c %x - %m%n | ||
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| log4j.logger.org.apache.spark.sql.execution.datasources.parquet=WARN | ||
| log4j.logger.org.apache.spark.sql.execution.datasources.FileScanRDD=WARN | ||
| log4j.logger.org.apache.hadoop.io.compress.CodecPool=WARN | ||
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170 changes: 170 additions & 0 deletions
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sylph-runners/spark/src/main/java/ideal/sylph/runner/spark/JobHelper.java
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| /* | ||
| * Copyright (C) 2018 The Sylph Authors | ||
| * | ||
| * Licensed 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 ideal.sylph.runner.spark; | ||
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| import ideal.common.jvm.JVMException; | ||
| import ideal.common.jvm.JVMLauncher; | ||
| import ideal.common.jvm.JVMLaunchers; | ||
| import ideal.sylph.runner.spark.etl.sparkstreaming.StreamNodeLoader; | ||
| import ideal.sylph.runner.spark.etl.structured.StructuredNodeLoader; | ||
| import ideal.sylph.spi.App; | ||
| import ideal.sylph.spi.EtlFlow; | ||
| import ideal.sylph.spi.GraphApp; | ||
| import ideal.sylph.spi.NodeLoader; | ||
| import ideal.sylph.spi.exception.SylphException; | ||
| import ideal.sylph.spi.model.PipelinePluginManager; | ||
| import org.apache.spark.SparkConf; | ||
| import org.apache.spark.sql.Dataset; | ||
| import org.apache.spark.sql.Row; | ||
| import org.apache.spark.sql.SparkSession; | ||
| import org.apache.spark.streaming.Seconds; | ||
| import org.apache.spark.streaming.StreamingContext; | ||
| import org.apache.spark.streaming.dstream.DStream; | ||
| import org.fusesource.jansi.Ansi; | ||
| import org.slf4j.Logger; | ||
| import org.slf4j.LoggerFactory; | ||
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| import java.io.IOException; | ||
| import java.io.Serializable; | ||
| import java.net.URLClassLoader; | ||
| import java.util.Map; | ||
| import java.util.concurrent.atomic.AtomicBoolean; | ||
| import java.util.function.Supplier; | ||
| import java.util.function.UnaryOperator; | ||
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| import static ideal.sylph.spi.exception.StandardErrorCode.JOB_BUILD_ERROR; | ||
| import static org.fusesource.jansi.Ansi.Color.GREEN; | ||
| import static org.fusesource.jansi.Ansi.Color.YELLOW; | ||
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| /** | ||
| * SparkJobHandle 会在yarn集群中 进行序列化在具体位置在{@link ideal.sylph.runner.spark.SparkAppMain#main}这个函数中 | ||
| * 因此这个工具类 目的是 减少SparkJobHandle 序列化时的依赖, | ||
| * SparkJobHandle序列化则 只需要依赖上面import导入class ,最核心的一点是移除了guava和其他无关依赖 | ||
| */ | ||
| final class JobHelper | ||
| { | ||
| private JobHelper() {} | ||
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| private static final Logger logger = LoggerFactory.getLogger(JobHelper.class); | ||
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| static SparkJobHandle<App<SparkSession>> build2xJob(String jobId, EtlFlow flow, URLClassLoader jobClassLoader, PipelinePluginManager pluginManager) | ||
| { | ||
| final AtomicBoolean isComplic = new AtomicBoolean(true); | ||
| Supplier<App<SparkSession>> appGetter = (Supplier<App<SparkSession>> & Serializable) () -> new GraphApp<SparkSession, Dataset<Row>>() | ||
| { | ||
| private final SparkSession spark = getSparkSession(); | ||
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| private SparkSession getSparkSession() | ||
| { | ||
| logger.info("========create spark SparkSession mode isComplic = " + isComplic.get() + "============"); | ||
| return isComplic.get() ? SparkSession.builder() | ||
| .appName("streamLoadTest") | ||
| .master("local[*]") | ||
| .getOrCreate() | ||
| : SparkSession.builder().getOrCreate(); | ||
| } | ||
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| @Override | ||
| public NodeLoader<SparkSession, Dataset<Row>> getNodeLoader() | ||
| { | ||
| return new StructuredNodeLoader(pluginManager) | ||
| { | ||
| @Override | ||
| public UnaryOperator<Dataset<Row>> loadSink(Map<String, Object> config) | ||
| { | ||
| return isComplic.get() ? (stream) -> { | ||
| super.loadSinkWithComplic(config).apply(stream); | ||
| return null; | ||
| } : super.loadSink(config); | ||
| } | ||
| }; | ||
| } | ||
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| @Override | ||
| public SparkSession getContext() | ||
| { | ||
| return spark; | ||
| } | ||
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| @Override | ||
| public void build() | ||
| throws Exception | ||
| { | ||
| this.buildGraph(jobId, flow).run(); | ||
| } | ||
| }; | ||
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| try { | ||
| JVMLauncher<Integer> launcher = JVMLaunchers.<Integer>newJvm() | ||
| .setCallable(() -> { | ||
| appGetter.get().build(); | ||
| return 1; | ||
| }) | ||
| .setConsole((line) -> System.out.println(new Ansi().fg(YELLOW).a("[" + jobId + "] ").fg(GREEN).a(line).reset())) | ||
| .addUserURLClassLoader(jobClassLoader) | ||
| .build(); | ||
| launcher.startAndGet(jobClassLoader); | ||
| isComplic.set(false); | ||
| return new SparkJobHandle<>(appGetter); | ||
| } | ||
| catch (IOException | ClassNotFoundException | JVMException e) { | ||
| throw new SylphException(JOB_BUILD_ERROR, "JOB_BUILD_ERROR", e); | ||
| } | ||
| } | ||
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| static SparkJobHandle<App<StreamingContext>> build1xJob(String jobId, EtlFlow flow, URLClassLoader jobClassLoader, PipelinePluginManager pluginManager) | ||
| { | ||
| final Supplier<App<StreamingContext>> appGetter = (Supplier<App<StreamingContext>> & Serializable) () -> new GraphApp<StreamingContext, DStream<Row>>() | ||
| { | ||
| private final StreamingContext spark = new StreamingContext(new SparkConf(), Seconds.apply(5)); | ||
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| @Override | ||
| public NodeLoader<StreamingContext, DStream<Row>> getNodeLoader() | ||
| { | ||
| return new StreamNodeLoader(pluginManager); | ||
| } | ||
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| @Override | ||
| public StreamingContext getContext() | ||
| { | ||
| return spark; | ||
| } | ||
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| @Override | ||
| public void build() | ||
| throws Exception | ||
| { | ||
| this.buildGraph(jobId, flow).run(); | ||
| } | ||
| }; | ||
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| try { | ||
| JVMLauncher<Integer> launcher = JVMLaunchers.<Integer>newJvm() | ||
| .setCallable(() -> { | ||
| appGetter.get().build(); | ||
| return 1; | ||
| }) | ||
| .setConsole((line) -> System.out.println(new Ansi().fg(YELLOW).a("[" + jobId + "] ").fg(GREEN).a(line).reset())) | ||
| .addUserURLClassLoader(jobClassLoader) | ||
| .build(); | ||
| launcher.startAndGet(jobClassLoader); | ||
| return new SparkJobHandle<>(appGetter); | ||
| } | ||
| catch (IOException | ClassNotFoundException | JVMException e) { | ||
| throw new SylphException(JOB_BUILD_ERROR, "JOB_BUILD_ERROR", e); | ||
| } | ||
| } | ||
| } |
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