作者热门文章
- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我是 apache beam 和 Google 云数据流的新手,我想使用 Java SDK 编写一个程序,从位于 Google Storage 的文本文件中读取数据并将数据插入 Google Bigquery。
我已经为该问题编写了代码,但它显示错误读取数据时出错,错误消息:JSON表遇到太多错误,放弃。
public class StarterPipeline {
private static final Logger LOG = LoggerFactory.getLogger(StarterPipeline.class);
public static void main(String[] args) {
PipelineOptions options = PipelineOptionsFactory.create();
options.setTempLocation("gs://com_example_gcptraining/assignment_1/temp");
Pipeline p = Pipeline.create(options);
PCollection<String> input = p.apply(TextIO.read().from("gs://com_example_gcptraining/assignment_1/emp_details.txt"));
PCollection<TableRow> output = input.apply(ParDo.of(new DoFn<String, TableRow>() {
@ProcessElement
public void processElement(ProcessContext c) {
StringTokenizer tokenizer = new StringTokenizer(c.element(),",");
c.output(new TableRow()
.set("id", Integer.parseInt(tokenizer.nextToken()))
.set("emp_name",tokenizer.nextToken())
.set("designation", tokenizer.nextToken())
.set("dob",Date.parseDate(tokenizer.nextToken()))
.set("contact_no",Long.parseLong(tokenizer.nextToken()))
.set("location",tokenizer.nextToken())
.set("salary",Float.parseFloat(tokenizer.nextToken())));
}
}));
String tableSpec = "gcp-training-246913:com_example_gcptraining.employee";
output.apply(BigQueryIO.writeTableRows().to(tableSpec).withCreateDisposition(CreateDisposition.CREATE_NEVER).withWriteDisposition(WriteDisposition.WRITE_APPEND));
p.run().waitUntilFinish();
}
}
请帮我解决问题。
谢谢!!!
这是控制台输出日志,
Jul 21, 2019 2:02:47 PM org.apache.beam.sdk.io.FileBasedSource getEstimatedSizeBytes
INFO: Filepattern gs://com_example_gcptraining/assignment_1/emp_details.txt matched 1 files with total size 682
Jul 21, 2019 2:02:47 PM org.apache.beam.sdk.io.FileBasedSource split
INFO: Splitting filepattern gs://com_example_gcptraining/assignment_1/emp_details.txt into bundles of size 170 took 67 ms and produced 1 files and 4 bundles
Jul 21, 2019 2:02:48 PM org.apache.beam.sdk.io.gcp.bigquery.BatchLoads$4 getTempFilePrefix
INFO: Writing BigQuery temporary files to gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/ before loading them.
Jul 21, 2019 2:02:49 PM org.apache.beam.sdk.io.gcp.bigquery.TableRowWriter <init>
INFO: Opening TableRowWriter to gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/57558a8c-977e-478d-a44c-7863fb230af2.
Jul 21, 2019 2:02:49 PM org.apache.beam.sdk.io.gcp.bigquery.TableRowWriter <init>
INFO: Opening TableRowWriter to gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5.
Jul 21, 2019 2:02:49 PM org.apache.beam.sdk.io.gcp.bigquery.TableRowWriter <init>
INFO: Opening TableRowWriter to gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d73bb64e-cced-4016-9529-12df5bed8b9e.
Jul 21, 2019 2:02:49 PM org.apache.beam.sdk.io.gcp.bigquery.TableRowWriter <init>
INFO: Opening TableRowWriter to gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/be562c41-3aee-4c98-b1de-3e10691e3454.
Jul 21, 2019 2:02:50 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Loading 4 files into {datasetId=com_example_gcptraining, projectId=gcp-training-246913, tableId=employee} using job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, location=US, projectId=gcp-training-246913}, attempt 0
Jul 21, 2019 2:02:50 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl startJob
INFO: Started BigQuery job: {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, location=US, projectId=gcp-training-246913}.
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0
Jul 21, 2019 2:02:50 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, location=US, projectId=gcp-training-246913} started
Jul 21, 2019 2:02:51 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: Still waiting for BigQuery job beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, currently in status {"state":"RUNNING"}
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0
Jul 21, 2019 2:02:52 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: BigQuery job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, location=US, projectId=gcp-training-246913} completed in state DONE
Jul 21, 2019 2:02:52 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-0, location=US, projectId=gcp-training-246913} failed, will retry: {"errorResult":{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},"errors":[{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},{"message":"Error while reading data, error message: JSON processing encountered too many errors, giving up. Rows: 1; errors: 1; max bad: 0; error percent: 0","reason":"invalid"},{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob","reason":"invalid"}],"state":"DONE"}
Jul 21, 2019 2:02:52 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Loading 4 files into {datasetId=com_example_gcptraining, projectId=gcp-training-246913, tableId=employee} using job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, location=US, projectId=gcp-training-246913}, attempt 1
Jul 21, 2019 2:02:53 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl startJob
INFO: Started BigQuery job: {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, location=US, projectId=gcp-training-246913}.
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1
Jul 21, 2019 2:02:53 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, location=US, projectId=gcp-training-246913} started
Jul 21, 2019 2:02:53 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: Still waiting for BigQuery job beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, currently in status {"state":"RUNNING"}
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: BigQuery job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, location=US, projectId=gcp-training-246913} completed in state DONE
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-1, location=US, projectId=gcp-training-246913} failed, will retry: {"errorResult":{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},"errors":[{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},{"message":"Error while reading data, error message: JSON processing encountered too many errors, giving up. Rows: 1; errors: 1; max bad: 0; error percent: 0","reason":"invalid"},{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob","reason":"invalid"}],"state":"DONE"}
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Loading 4 files into {datasetId=com_example_gcptraining, projectId=gcp-training-246913, tableId=employee} using job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, location=US, projectId=gcp-training-246913}, attempt 2
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl startJob
INFO: Started BigQuery job: {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, location=US, projectId=gcp-training-246913}.
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, location=US, projectId=gcp-training-246913} started
Jul 21, 2019 2:02:54 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: Still waiting for BigQuery job beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, currently in status {"state":"RUNNING"}
bq show -j --format=prettyjson --project_id=gcp-training-246913 beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2
Jul 21, 2019 2:02:55 PM org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$JobServiceImpl pollJob
INFO: BigQuery job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, location=US, projectId=gcp-training-246913} completed in state DONE
Jul 21, 2019 2:02:55 PM org.apache.beam.sdk.io.gcp.bigquery.WriteTables load
INFO: Load job {jobId=beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2, location=US, projectId=gcp-training-246913} failed, will not retry: {"errorResult":{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},"errors":[{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.","reason":"invalid"},{"message":"Error while reading data, error message: JSON processing encountered too many errors, giving up. Rows: 1; errors: 1; max bad: 0; error percent: 0","reason":"invalid"},{"location":"gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5","message":"Error while reading data, error message: JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob","reason":"invalid"}],"state":"DONE"}
Exception in thread "main" org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.RuntimeException: Failed to create load job with id prefix beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000, reached max retries: 3, last failed load job: {
"configuration" : {
"load" : {
"createDisposition" : "CREATE_NEVER",
"destinationTable" : {
"datasetId" : "com_example_gcptraining",
"projectId" : "gcp-training-246913",
"tableId" : "employee"
},
"schema" : {
"fields" : [ {
"mode" : "REQUIRED",
"name" : "id",
"type" : "INTEGER"
}, {
"name" : "emp_name",
"type" : "STRING"
}, {
"name" : "designation",
"type" : "STRING"
}, {
"name" : "dob",
"type" : "DATE"
}, {
"name" : "contact_no",
"type" : "NUMERIC"
}, {
"name" : "location",
"type" : "STRING"
}, {
"name" : "salary",
"type" : "FLOAT"
} ]
},
"sourceFormat" : "NEWLINE_DELIMITED_JSON",
"sourceUris" : [ "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/57558a8c-977e-478d-a44c-7863fb230af2", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d73bb64e-cced-4016-9529-12df5bed8b9e", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/be562c41-3aee-4c98-b1de-3e10691e3454", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5" ],
"writeDisposition" : "WRITE_APPEND"
},
"jobType" : "LOAD"
},
"etag" : "FFm2QxlI5DISFk5gFxWdbw==",
"id" : "gcp-training-246913:US.beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2",
"jobReference" : {
"jobId" : "beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2",
"location" : "US",
"projectId" : "gcp-training-246913"
},
"kind" : "bigquery#job",
"selfLink" : "https://www.googleapis.com/bigquery/v2/projects/gcp-training-246913/jobs/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2?location=US",
"statistics" : {
"creationTime" : "1563717774452",
"endTime" : "1563717775186",
"startTime" : "1563717774633"
},
"status" : {
"errorResult" : {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.",
"reason" : "invalid"
},
"errors" : [ {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.",
"reason" : "invalid"
}, {
"message" : "Error while reading data, error message: JSON processing encountered too many errors, giving up. Rows: 1; errors: 1; max bad: 0; error percent: 0",
"reason" : "invalid"
}, {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob",
"reason" : "invalid"
} ],
"state" : "DONE"
},
"user_email" : "shubham.naphade@outlook.in"
}.
at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:349)
at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:319)
at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:210)
at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:66)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:311)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:297)
at com.example.gcptraining.StarterPipeline.main(StarterPipeline.java:75)
Caused by: java.lang.RuntimeException: Failed to create load job with id prefix beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000, reached max retries: 3, last failed load job: {
"configuration" : {
"load" : {
"createDisposition" : "CREATE_NEVER",
"destinationTable" : {
"datasetId" : "com_example_gcptraining",
"projectId" : "gcp-training-246913",
"tableId" : "employee"
},
"schema" : {
"fields" : [ {
"mode" : "REQUIRED",
"name" : "id",
"type" : "INTEGER"
}, {
"name" : "emp_name",
"type" : "STRING"
}, {
"name" : "designation",
"type" : "STRING"
}, {
"name" : "dob",
"type" : "DATE"
}, {
"name" : "contact_no",
"type" : "NUMERIC"
}, {
"name" : "location",
"type" : "STRING"
}, {
"name" : "salary",
"type" : "FLOAT"
} ]
},
"sourceFormat" : "NEWLINE_DELIMITED_JSON",
"sourceUris" : [ "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/57558a8c-977e-478d-a44c-7863fb230af2", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d73bb64e-cced-4016-9529-12df5bed8b9e", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/be562c41-3aee-4c98-b1de-3e10691e3454", "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5" ],
"writeDisposition" : "WRITE_APPEND"
},
"jobType" : "LOAD"
},
"etag" : "FFm2QxlI5DISFk5gFxWdbw==",
"id" : "gcp-training-246913:US.beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2",
"jobReference" : {
"jobId" : "beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2",
"location" : "US",
"projectId" : "gcp-training-246913"
},
"kind" : "bigquery#job",
"selfLink" : "https://www.googleapis.com/bigquery/v2/projects/gcp-training-246913/jobs/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951_0d1a010156cfb76d262315de02b986ab_00001_00000-2?location=US",
"statistics" : {
"creationTime" : "1563717774452",
"endTime" : "1563717775186",
"startTime" : "1563717774633"
},
"status" : {
"errorResult" : {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.",
"reason" : "invalid"
},
"errors" : [ {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.",
"reason" : "invalid"
}, {
"message" : "Error while reading data, error message: JSON processing encountered too many errors, giving up. Rows: 1; errors: 1; max bad: 0; error percent: 0",
"reason" : "invalid"
}, {
"location" : "gs://com_example_gcptraining/assignment_1/temp/BigQueryWriteTemp/beam_load_starterpipelineshubhamn0721140248cbe18bb0_d76616a7bafb416fa8e4ff9db0f8a951/d5c2db36-ec77-48bf-968c-e27e8c06d9c5",
"message" : "Error while reading data, error message: JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob",
"reason" : "invalid"
} ],
"state" : "DONE"
},
"user_email" : "shubham.naphade@outlook.in"
}.
at org.apache.beam.sdk.io.gcp.bigquery.WriteTables.load(WriteTables.java:308)
at org.apache.beam.sdk.io.gcp.bigquery.WriteTables.access$600(WriteTables.java:80)
at org.apache.beam.sdk.io.gcp.bigquery.WriteTables$WriteTablesDoFn.processElement(WriteTables.java:159)
最佳答案
您的数据(字段 dob)似乎有问题。您需要一个日期,但由于某种原因它无法存储到 BigQuery 表中。
JSON parsing error in row starting at position 0: JSON object specified for non-record field: dob"
检查表架构,或者日期格式可能存在问题。
关于java - 如何从位于 Google Storage 的文本文件写入 Bitquery 表?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57133083/
我是 apache beam 和 Google 云数据流的新手,我想使用 Java SDK 编写一个程序,从位于 Google Storage 的文本文件中读取数据并将数据插入 Google Bigq
我是一名优秀的程序员,十分优秀!