在本地运行数据流导致JVM崩溃（OOM）
Using the DirectPipelineRunner, I'd like to run my pipeline locally for debugging purposes. I'm using SDK 1.9.0 with Java 8.
使用DirectPipelineRunner，我想在本地运行我的管道以进行调试。我正在使用SDK 1.9.0和Java 8。
My pipeline reads a table from BigQuery, transforms some fields, and writes back to BigQuery.
我的管道从BigQuery读取一个表，转换一些字段，然后写回BigQuery。
Running on GCP, i.e. using the DataflowPipelineRunner runner works absolutely fine. However, when I use the DirectPipelineRunner is just keeps spitting out the following log info, and does nothing else:
在GCP上运行，即使用DataflowPipelineRunner运行器可以正常运行。但是，当我使用DirectPipelineRunner时，只是不断吐出以下日志信息，并且不执行任何其他操作：
19:45:05,470 21866 [main] INFO com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner - Executing pipeline using the DirectPipelineRunner.
19:45:18,594 34990 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_c88ee6741e434aabbf50e73d4e6733d1-extract found.
19:45:27,344 43740 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_012dca76d75e461480fe75897b5fa7ba-extract found.
19:45:38,150 54546 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_3548a0ee373a417e8e7570ae90aef78d-extract found.
19:45:47,912 64308 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_db0b957250ef41279a639bdc113c5493-extract found.
19:45:56,685 73081 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_3773e0643ec14475aaa140bcf46ea7af-extract found.
19:46:45,958 122354 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_27af9a1163944cb19e520242de98d899-extract found.
19:46:55,766 132162 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_5473e6702b3544118c7da8877c900f7a-extract found.
19:47:04,015 140411 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_40f47d35aa154708a6fc684c8ffb0ba4-extract found.
19:47:11,913 148309 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_6dce34301c97498884d7344b85a1b07e-extract found.
19:47:35,809 172205 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_4f7c26d372974095a24ac58b547c13d6-extract found.
19:47:45,136 181532 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_a7c33e75bfdb41a6990dd66810a0d44a-extract found.
19:47:55,802 192198 [main] INFO com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl - No BigQuery job with job id beam_job_a1d7422ca42a4b1d96205bf8c6dada9d-extract found.
The log message is coming from here:
日志消息来自此处：
@VisibleForTesting
public Job getJob(JobReference jobRef, Sleeper sleeper, BackOff backoff)
throws IOException, InterruptedException {
String jobId = jobRef.getJobId();
Exception lastException;
do {
try {
return client.jobs().get(jobRef.getProjectId(), jobId).execute();
} catch (GoogleJsonResponseException e) {
if (errorExtractor.itemNotFound(e)) {
LOG.info("No BigQuery job with job id {} found.", jobId);
return null;
}....
Eventually, the JVM runs out of memory:
最终，JVM内存不足：
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOfRange(Arrays.java:3664)
at java.lang.String.<init>(String.java:207)
at java.lang.String.toLowerCase(String.java:2647)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:847)
at com.google.api.client.json.JsonParser.parse(JsonParser.java:472)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:781)
at com.google.api.client.json.JsonParser.parseArray(JsonParser.java:648)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:740)
at com.google.api.client.json.JsonParser.parse(JsonParser.java:472)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:781)
at com.google.api.client.json.JsonParser.parseArray(JsonParser.java:648)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:740)
at com.google.api.client.json.JsonParser.parse(JsonParser.java:472)
at com.google.api.client.json.JsonParser.parseValue(JsonParser.java:781)
at com.google.api.client.json.JsonParser.parse(JsonParser.java:382)
at com.google.api.client.json.JsonParser.parse(JsonParser.java:355)
at com.google.api.client.json.JsonObjectParser.parseAndClose(JsonObjectParser.java:87)
at com.google.api.client.json.JsonObjectParser.parseAndClose(JsonObjectParser.java:81)
at com.google.api.client.http.HttpResponse.parseAs(HttpResponse.java:459)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:469)
at com.google.cloud.dataflow.sdk.util.BigQueryTableRowIterator.executeWithBackOff(BigQueryTableRowIterator.java:497)
at com.google.cloud.dataflow.sdk.util.BigQueryTableRowIterator.advance(BigQueryTableRowIterator.java:180)
at com.google.cloud.dataflow.sdk.util.BigQueryServicesImpl$BigQueryJsonReaderImpl.advance(BigQueryServicesImpl.java:555)
at com.google.cloud.dataflow.sdk.io.BigQueryIO$BigQuerySourceBase$BigQueryReader.advance(BigQueryIO.java:1331)
at com.google.cloud.dataflow.sdk.io.Read$Bounded$1.evaluateReadHelper(Read.java:180)
at com.google.cloud.dataflow.sdk.io.Read$Bounded$1.evaluate(Read.java:168)
at com.google.cloud.dataflow.sdk.io.Read$Bounded$1.evaluate(Read.java:164)
at com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner$Evaluator.visitTransform(DirectPipelineRunner.java:858)
at com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:221)
at com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:217)
at com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:217)
at com.google.cloud.dataflow.sdk.runners.TransformHierarchy.visit(TransformHierarchy.java:103)
The table in BigQuery only has 100 rows (it's just for debugging).
BigQuery中的表只有100行（它只是用于调试）。
What is the problem here?
这里有什么问题？
1 个解决方案
#1
0
I believe the BigQuery message is a red-herring; the stack trace of the OOM indicates that data is being read directly from the table and not via an export job.
我相信BigQuery的消息是一个红色的鲱鱼; OOM的堆栈跟踪表明正在直接从表中读取数据，而不是通过导出作业。
The DirectPipelineRunner is not at all optimized for memory utilization; try using the newer InProcessPipelineRunner. Additionally, it may be worth using standard Java heap profiling tools to see where the memory is being used.
DirectPipelineRunner根本没有针对内存利用率进行优化;尝试使用较新的InProcessPipelineRunner。此外，使用标准Java堆分析工具来查看内存的使用位置可能是值得的。