elasticSearch 启动报错
(1)使用windos32系统启动elasticsearch6.5.4版本 ,(或者其他环境启动,报错一致都可以使用下面解决方法) 报错如下:
org.elasticsearch.ElasticsearchException: X-Pack is not supported and Machine Learning is not available for [windows-x86]; you can use the other X-Pack features (unsupported) by setting xpack.ml.enabled: false in elasticsearch.yml
at org.elasticsearch.xpack.ml.MachineLearningFeatureSet.isRunningOnMlPlatform(MachineLearningFeatureSet.java:104) ~[?:?]
at org.elasticsearch.xpack.ml.MachineLearningFeatureSet.isRunningOnMlPlatform(MachineLearningFeatureSet.java:95) ~[?:?]
at org.elasticsearch.xpack.ml.MachineLearning.createComponents(MachineLearning.java:382) ~[?:?]
at org.elasticsearch.node.Node.lambda$new$11(Node.java:472) ~[elasticsearch-6.5.4.jar:6.5.4]
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:267) ~[?:1.8.0_171]
at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471) ~[?:1.8.0_171]
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) ~[?:1.8.0_171]
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499) ~[?:1.8.0_171]
at org.elasticsearch.node.Node.<init>(Node.java:475) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.node.Node.<init>(Node.java:265) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap$5.<init>(Bootstrap.java:212) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:212) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:333) [elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:136) [elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.execute(Elasticsearch.java:127) [elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.EnvironmentAwareCommand.execute(EnvironmentAwareCommand.java:86) [elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:124) [elasticsearch-cli-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.Command.main(Command.java:90) [elasticsearch-cli-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:93) [elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:86) [elasticsearch-6.5.4.jar:6.5.4]
[2019-01-25T10:21:14,283][WARN ][o.e.b.ElasticsearchUncaughtExceptionHandler] [DGi2eKw] uncaught exception in thread [main]
org.elasticsearch.bootstrap.StartupException: ElasticsearchException[X-Pack is not supported and Machine Learning is not available for [windows-x86]; you can use the other X-Pack features (unsupported) by setting xpack.ml.enabled: false in elasticsearch.yml]
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:140) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.execute(Elasticsearch.java:127) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.EnvironmentAwareCommand.execute(EnvironmentAwareCommand.java:86) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:124) ~[elasticsearch-cli-6.5.4.jar:6.5.4]
at org.elasticsearch.cli.Command.main(Command.java:90) ~[elasticsearch-cli-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:93) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:86) ~[elasticsearch-6.5.4.jar:6.5.4]
Caused by: org.elasticsearch.ElasticsearchException: X-Pack is not supported and Machine Learning is not available for [windows-x86]; you can use the other X-Pack features (unsupported) by setting xpack.ml.enabled: false in elasticsearch.yml
at org.elasticsearch.xpack.ml.MachineLearningFeatureSet.isRunningOnMlPlatform(MachineLearningFeatureSet.java:104) ~[?:?]
at org.elasticsearch.xpack.ml.MachineLearningFeatureSet.isRunningOnMlPlatform(MachineLearningFeatureSet.java:95) ~[?:?]
at org.elasticsearch.xpack.ml.MachineLearning.createComponents(MachineLearning.java:382) ~[?:?]
at org.elasticsearch.node.Node.lambda$new$11(Node.java:472) ~[elasticsearch-6.5.4.jar:6.5.4]
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:267) ~[?:1.8.0_171]
at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471) ~[?:1.8.0_171]
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708) ~[?:1.8.0_171]
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) ~[?:1.8.0_171]
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499) ~[?:1.8.0_171]
at org.elasticsearch.node.Node.<init>(Node.java:475) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.node.Node.<init>(Node.java:265) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap$5.<init>(Bootstrap.java:212) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:212) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:333) ~[elasticsearch-6.5.4.jar:6.5.4]
at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:136) ~[elasticsearch-6.5.4.jar:6.5.4]
... 6 more
(2) 解决方法:
找到elasticsearch目录conf下 的主配置文件 elasticsearch.yml
增加配置 : xpack.ml.enabled:false
xpack.ml.enabled 设置为false禁用X-Pack机器学习功能
(3) 额外扩展: 启用和禁用X-Pack功能
默认情况下,所有X-Pack功能都被启用。您可以启用或禁用特定的X-Pack功能,可在 elasticsearch.yml,kibana.yml以及logstash.yml 配置文件中进行配置。
配置描述:
xpack.graph.enabled 设置为false禁用X-Pack图形功能。
xpack.ml.enabled 设置为false禁用X-Pack机器学习功能。
xpack.monitoring.enabled 设置为false禁用X-Pack监视功能。
xpack.reporting.enabled 设置为false禁用X-Pack报告功能。
xpack.security.enabled 设置为false禁用X-Pack安全功能。
xpack.watcher.enabled 设置false为禁用观察器。
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