我是一位年轻的开发人员，相对于Google Cloud Platform产品（尤其是Google Cloud Search）来说还比较陌生。我也尝试过遵循https://developers.google.com/cloud-search/docs/guides/apache-nutch-connector教程。
我所做的只是复制修改了nutch-site.xml文件的教程
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>plugin.includes</name>
<value>protocol-httpclient|urlfilter-regex|parse-(html|tika)|index-(basic|more|metadata)|indexer-google-cloud-search|urlnormalizer-(pass|regex|basic)</value>
<description>Regular expression naming plugin directory names to
include. Any plugin not matching this expression is excluded.
In any case you need at least include the nutch-extensionpoints plugin. By
default Nutch includes crawling just HTML and plain text via HTTP,
and basic indexing and search plugins. In order to use HTTPS please enable
protocol-httpclient, but be aware of possible intermittent problems with the
underlying commons-httpclient library.
</description>
</property>
<property>
<name>gcs.config.file</name>
<value>/home/joys/Downloads/apache-nutch-1.14/sdk-configuration.properties</value>
<description>Location of GCS Connector SDK configuration file.</description>
</property>
<property>
<name>gcs.uploadFormat</name>
<value>text</value>
<description></description>
</property>
<property>
<name>fetcher.parse</name>
<value>true</value>
<description></description>
</property>
<property>
<name>http.agent.name</name>
<value>Joy Spider</value>
<description></description>
</property>
<property>
<name>db.ignore.internal.links</name>
<value>false</value>
<description>If true, when adding new links to a page, links from
the same host are ignored. This is an effective way to limit the
size of the link database, keeping only the highest quality
links.
</description>
</property>
<property>
<name>db.ignore.external.links</name>
<value>false</value>
<description>If true, outlinks leading from a page to external hosts
will be ignored. This is an effective way to limit the crawl to include
only initially injected hosts, without creating complex URLFilters.
</description>
</property>
<property>
<name>fetcher.store.content</name>
<value>true</value>
<description>If true, fetcher will store content.</description>
</property>
<property>
<name>metatags.names</name>
<value>metatag.*</value>
<description>Location of GCS Connector SDK configuration file.</description>
</property>
<property>
<name>index.parse.md</name>
<value>metatag.*</value>
<description>Location of GCS Connector SDK configuration file.</description>
</property>
<property>
<name>index.metadata</name>
<value>metatag.*</value>
<description>Location of GCS Connector SDK configuration file.</description>
</property>
<property>
<name>http.robot.rules.whitelist</name>
<value>*</value>
<description>Location of GCS Connector SDK configuration file.</description>
</property>
</configuration>
像这样的sdk-configuration.properties
Required properties for accessing data source
# (These values are created by the admin before running the connector)
api.sourceId=id
# Path to service account credentials
api.serviceAccountPrivateKeyFile=/path/to/.json
#connector.runOnce=true
defaultAcl.mode=FALLBACK
defaultAcl.public=true
api.rootUrl=https://cloudsearch.googleapis.com
# The schema name is read from the data source and used for repository structured data.The default is an empty string.
structuredData.localSchema=schema.json
#The metadata attribute that contains the value corresponding to the document title. The default value is an empty string.
itemMetadata.title.field=title
#The metadata attribute that contains the value for the document URL for search results.
itemMetadata.sourceRepositoryUrl.field=url
#The content language for documents being indexed
itemMetadata.contentLanguage.field=languageCode
#The object type used by the site, as defined in the data source schema object definitions. The connector won't index any structured data if this property is not specified.
Note: This configuration property points to a value rather than a metadata attribute, and the .field and .defaultValue sufffixes are not supported.
itemMetadata.objectType=file
#The metadata attribute that contains the value for the last modification timestamp for the document.
itemMetadata.updatetime.field=updateAt
#The metadata attribute that contains the value for the document creation timestamp.
itemMetadata.createTime.field=updateAt
contentTemplate.templateName.title=filetitle
此外，我没有添加 -addBinaryContent -base64 选项。教程说，仅当gcs.uploadFormat参数丢失或设置为“ raw”时才放置这些选项。我将其设置为“文本”
一切正常，直到GCS开始编制索引，这时我总是收到此错误：
2
018-12-01 21:39:53,368 INFO gcs.GoogleCloudSearchIndexWriter - Starting up!
2018-12-01 21:40:01,002 WARN mapred.LocalJobRunner - job_local1304604211_0001
java.lang.Exception: java.lang.NullPointerException
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:529)
Caused by: java.lang.NullPointerException
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.getValueExtractor(StructuredData.java:375)
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.lambda$new$3(StructuredData.java:294)
at java.util.stream.Collectors.lambda$toMap$58(Collectors.java:1321)
at java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)
at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.<init>(StructuredData.java:294)
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.lambda$init$1(StructuredData.java:234)
at java.util.stream.Collectors.lambda$toMap$58(Collectors.java:1321)
at java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)
at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.init(StructuredData.java:231)
at com.google.enterprise.cloudsearch.sdk.indexing.StructuredData.initFromConfiguration(StructuredData.java:199)
at org.apache.nutch.indexwriter.gcs.GoogleCloudSearchIndexWriter.open(GoogleCloudSearchIndexWriter.java:104)
at org.apache.nutch.indexer.IndexWriters.open(IndexWriters.java:77)
at org.apache.nutch.indexer.IndexerOutputFormat.getRecordWriter(IndexerOutputFormat.java:39)
at org.apache.hadoop.mapred.ReduceTask$OldTrackingRecordWriter.<init>(ReduceTask.java:484)
at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:414)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:392)
at org.apache.hadoop.mapred.LocalJobRunner$Job$ReduceTaskRunnable.run(LocalJobRunner.java:319)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
2018-12-01 21:40:01,414 ERROR indexer.IndexingJob - Indexer: java.io.IOException: Job failed!
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:873)
at org.apache.nutch.indexer.IndexingJob.index(IndexingJob.java:147)
at org.apache.nutch.indexer.IndexingJob.run(IndexingJob.java:230)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.nutch.indexer.IndexingJob.main(IndexingJob.java:239)
它在这一行的crawl.sh文件中引发错误
apache-nutch-1.14/bin/nutch index crawl-test//crawldb -linkdb crawl-test//linkdb crawl-test//segments/20181201213917
Failed with exit value 255.
和命令索引。我已经完成了构想，但再也没有关于如何解决它的线索。
在网上冲浪时，我发现在hadoop文件夹中，我应该找到一个文件mapred-site.xml，并且应该放入
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
并放入hadoop-yarn-site.xml
<property>
<name>yarn.nodemanager.aux-services</name>
<value>map reduce_shuffle</value>
</property>
但这对我不起作用。有想法吗？