304 lines
12 KiB
Markdown
304 lines
12 KiB
Markdown
---
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layout: default
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title: Performance Analyzer
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nav_order: 58
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has_children: true
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redirect_from:
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- /monitoring-plugins/pa/
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- /monitoring-plugins/pa/index/
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---
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# Performance analyzer
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Performance analyzer is an agent and REST API that allows you to query numerous performance metrics for your cluster, including aggregations of those metrics.
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The performance analyzer plugin is installed by default in OpenSearch version 2.0 and higher.
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{: .note }
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## Performance analyzer installation and configuration
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The following sections provide the steps for installing and configuring the performance analyzer plugin.
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### Install performance analyzer
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The performance analyzer plugin is included in the installation for [Docker]({{site.url}}{{site.baseurl}}/opensearch/install/docker/) and [tarball]({{site.url}}{{site.baseurl}}/opensearch/install/tar/). If you need to install the performance analyzer plugin manually, download the plugin from [Maven](https://search.maven.org/search?q=org.opensearch.plugin) and install the plugin using the standard [plugins install]({{site.url}}{{site.baseurl}}/opensearch/install/plugins/) process. Performance analyzer will run on each node in a cluster.
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To start the performance analyzer root cause analysis (RCA) agent on a tarball installation, run the following command:
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````bash
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OPENSEARCH_HOME=~/opensearch-2.2.1 OPENSEARCH_JAVA_HOME=~/opensearch-2.2.1/jdk OPENSEARCH_PATH_CONF=~/opensearch-2.2.1/bin ./performance-analyzer-agent-cli
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````
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The following command enables the performance analyzer plugin and performance analyzer RCA agent:
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````bash
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curl -XPOST localhost:9200/_plugins/_performanceanalyzer/cluster/config -H 'Content-Type: application/json' -d '{"enabled": true}'
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````
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To shut down the performance analyzer RCA agent, run the following command:
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````bash
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kill $(ps aux | grep -i 'PerformanceAnalyzerApp' | grep -v grep | awk '{print $2}')
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````
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To disable the performance analyzer plugin, run the following command:
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````bash
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curl -XPOST localhost:9200/_plugins/_performanceanalyzer/cluster/config -H 'Content-Type: application/json' -d '{"enabled": false}'
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````
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To uninstall the performance analyzer plugin, run the following command:
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````bash
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bin/opensearch-plugin remove opensearch-performance-analyzer
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````
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### Configure performance analyzer
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To configure the performance analyzer plugin, you will need to edit the `performance-analyzer.properties` configuration file in the `config/opensearch-performance-analyzer/` directory. Make sure to uncomment the line `#webservice-bind-host` and set it to `0.0.0.0`. You can reference the following example configuration.
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````bash
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# ======================== OpenSearch performance analyzer plugin config =========================
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# NOTE: this is an example for Linux. Please modify the config accordingly if you are using it under other OS.
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# WebService bind host; default to all interfaces
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webservice-bind-host = 0.0.0.0
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# Metrics data location
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metrics-location = /dev/shm/performanceanalyzer/
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# Metrics deletion interval (minutes) for metrics data.
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# Interval should be between 1 to 60.
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metrics-deletion-interval = 1
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# If set to true, the system cleans up the files behind it. So at any point, we should expect only 2
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# metrics-db-file-prefix-path files. If set to false, no files are cleaned up. This can be useful, if you are archiving
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# the files and wouldn't like for them to be cleaned up.
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cleanup-metrics-db-files = true
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# WebService exposed by App's port
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webservice-listener-port = 9600
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# Metric DB File Prefix Path location
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metrics-db-file-prefix-path = /tmp/metricsdb_
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https-enabled = false
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#Setup the correct path for certificates
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#certificate-file-path = specify_path
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#private-key-file-path = specify_path
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# Plugin Stats Metadata file name, expected to be in the same location
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plugin-stats-metadata = plugin-stats-metadata
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# Agent Stats Metadata file name, expected to be in the same location
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agent-stats-metadata = agent-stats-metadata
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````
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To start the performance analyzer RCA agent, run the following command.
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````bash
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OPENSEARCH_HOME=~/opensearch-2.2.1 OPENSEARCH_JAVA_HOME=~/opensearch-2.2.1/jdk OPENSEARCH_PATH_CONF=~/opensearch-2.2.1/bin ./performance-analyzer-agent-cli
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````
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### Storage
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Performance analyzer uses `/dev/shm` for temporary storage. During heavy workloads on a cluster, performance analyzer can use up to 1 GB of space.
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Docker, however, has a default `/dev/shm` size of 64 MB. To change this value, you can use the `docker run --shm-size 1gb` flag or [a similar setting in Docker Compose](https://docs.docker.com/compose/compose-file#shm_size).
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If you're not using Docker, check the size of `/dev/shm` using `df -h`. The default value is probably plenty, but if you need to change its size, add the following line to `/etc/fstab`:
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```bash
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tmpfs /dev/shm tmpfs defaults,noexec,nosuid,size=1G 0 0
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```
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Then remount the file system:
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```bash
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mount -o remount /dev/shm
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```
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### Security
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Performance analyzer supports encryption in transit for requests. It currently does *not* support client or server authentication for requests. To enable encryption in transit, edit `performance-analyzer.properties` in your `$OPENSEARCH_HOME` directory.
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```bash
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vi $OPENSEARCH_HOME/config/opensearch-performance-analyzer/performance-analyzer.properties
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```
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Change the following lines to configure encryption in transit. Note that `certificate-file-path` must be a certificate for the server, not a root certificate authority (CA).
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````bash
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https-enabled = true
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#Setup the correct path for certificates
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certificate-file-path = specify_path
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private-key-file-path = specify_path
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````
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### Enable performance analyzer for RPM/YUM installations
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If you installed OpenSearch from an RPM distribution, you can start and stop performance analyzer with `systemctl`.
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```bash
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# Start OpenSearch Performance Analyzer
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sudo systemctl start opensearch-performance-analyzer.service
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# Stop OpenSearch Performance Analyzer
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sudo systemctl stop opensearch-performance-analyzer.service
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```
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## Example API query and response
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The following is an example API query:
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````bash
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GET localhost:9600/_plugins/_performanceanalyzer/metrics/units
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````
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The following is an example response:
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````json
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{"Disk_Utilization":"%","Cache_Request_Hit":"count",
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"Refresh_Time":"ms","ThreadPool_QueueLatency":"count",
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"Merge_Time":"ms","ClusterApplierService_Latency":"ms",
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"PublishClusterState_Latency":"ms",
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"Cache_Request_Size":"B","LeaderCheck_Failure":"count",
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"ThreadPool_QueueSize":"count","Sched_Runtime":"s/ctxswitch","Disk_ServiceRate":"MB/s","Heap_AllocRate":"B/s","Indexing_Pressure_Current_Limits":"B",
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"Sched_Waittime":"s/ctxswitch","ShardBulkDocs":"count",
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"Thread_Blocked_Time":"s/event","VersionMap_Memory":"B",
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"Master_Task_Queue_Time":"ms","IO_TotThroughput":"B/s",
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"Indexing_Pressure_Current_Bytes":"B",
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"Indexing_Pressure_Last_Successful_Timestamp":"ms",
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"Net_PacketRate6":"packets/s","Cache_Query_Hit":"count",
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"IO_ReadSyscallRate":"count/s","Net_PacketRate4":"packets/s","Cache_Request_Miss":"count",
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"ThreadPool_RejectedReqs":"count","Net_TCP_TxQ":"segments/flow","Master_Task_Run_Time":"ms",
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"IO_WriteSyscallRate":"count/s","IO_WriteThroughput":"B/s",
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"Refresh_Event":"count","Flush_Time":"ms","Heap_Init":"B",
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"Indexing_Pressure_Rejection_Count":"count",
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"CPU_Utilization":"cores","Cache_Query_Size":"B",
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"Merge_Event":"count","Cache_FieldData_Eviction":"count",
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"IO_TotalSyscallRate":"count/s","Net_Throughput":"B/s",
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"Paging_RSS":"pages",
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"AdmissionControl_ThresholdValue":"count",
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"Indexing_Pressure_Average_Window_Throughput":"count/s",
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"Cache_MaxSize":"B","IndexWriter_Memory":"B",
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"Net_TCP_SSThresh":"B/flow","IO_ReadThroughput":"B/s",
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"LeaderCheck_Latency":"ms","FollowerCheck_Failure":"count",
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"HTTP_RequestDocs":"count","Net_TCP_Lost":"segments/flow",
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"GC_Collection_Event":"count","Sched_CtxRate":"count/s",
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"AdmissionControl_RejectionCount":"count","Heap_Max":"B",
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"ClusterApplierService_Failure":"count",
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"PublishClusterState_Failure":"count",
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"Merge_CurrentEvent":"count","Indexing_Buffer":"B",
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"Bitset_Memory":"B","Net_PacketDropRate4":"packets/s",
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"Heap_Committed":"B","Net_PacketDropRate6":"packets/s",
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"Thread_Blocked_Event":"count","GC_Collection_Time":"ms",
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"Cache_Query_Miss":"count","Latency":"ms",
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"Shard_State":"count","Thread_Waited_Event":"count",
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"CB_ConfiguredSize":"B","ThreadPool_QueueCapacity":"count",
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"CB_TrippedEvents":"count","Disk_WaitTime":"ms",
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"Data_RetryingPendingTasksCount":"count",
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"AdmissionControl_CurrentValue":"count",
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"Flush_Event":"count","Net_TCP_RxQ":"segments/flow",
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"Shard_Size_In_Bytes":"B","Thread_Waited_Time":"s/event",
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"HTTP_TotalRequests":"count",
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"ThreadPool_ActiveThreads":"count",
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"Paging_MinfltRate":"count/s","Net_TCP_SendCWND":"B/flow",
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"Cache_Request_Eviction":"count","Segments_Total":"count",
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"FollowerCheck_Latency":"ms","Heap_Used":"B",
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"Master_ThrottledPendingTasksCount":"count",
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"CB_EstimatedSize":"B","Indexing_ThrottleTime":"ms",
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"Master_PendingQueueSize":"count",
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"Cache_FieldData_Size":"B","Paging_MajfltRate":"count/s",
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"ThreadPool_TotalThreads":"count","ShardEvents":"count",
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"Net_TCP_NumFlows":"count","Election_Term":"count"}
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````
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## Root cause analysis
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The [root cause analysis]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/rca/index/) (RCA) framework uses the information from performance analyzer to inform administrators of the root cause of performance and availability issues that their clusters might be experiencing.
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### Enable the RCA framework
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To enable the RCA framework, run the following command:
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```bash
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curl -XPOST http://localhost:9200/_plugins/_performanceanalyzer/rca/cluster/config -H 'Content-Type: application/json' -d '{"enabled": true}'
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```
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If you encounter the `curl: (52) Empty reply from server` response, run the following command to enable RCA:
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```bash
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curl -XPOST https://localhost:9200/_plugins/_performanceanalyzer/rca/cluster/config -H 'Content-Type: application/json' -d '{"enabled": true}' -u 'admin:admin' -k
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```
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### Example API query and response
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To request all available RCAs, run the following command:
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````bash
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GET localhost:9600/_plugins/_performanceanalyzer/rca
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````
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To request a specific RCA, run the following command:
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````bash
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GET localhost:9600/_plugins/_performanceanalyzer/rca?name=HighHeapUsageClusterRCA
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````
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The following is an example response:
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```json
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{
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"HighHeapUsageClusterRCA": [{
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"RCA_name": "HighHeapUsageClusterRCA",
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"state": "unhealthy",
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"timestamp": 1587426650942,
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"HotClusterSummary": [{
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"number_of_nodes": 2,
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"number_of_unhealthy_nodes": 1,
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"HotNodeSummary": [{
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"host_address": "192.168.144.2",
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"node_id": "JtlEoRowSI6iNpzpjlbp_Q",
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"HotResourceSummary": [{
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"resource_type": "old gen",
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"threshold": 0.65,
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"value": 0.81827232588145373,
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"avg": NaN,
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"max": NaN,
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"min": NaN,
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"unit_type": "heap usage in percentage",
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"time_period_seconds": 600,
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"TopConsumerSummary": [{
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"name": "CACHE_FIELDDATA_SIZE",
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"value": 590702564
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},
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{
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"name": "CACHE_REQUEST_SIZE",
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"value": 28375
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},
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{
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"name": "CACHE_QUERY_SIZE",
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"value": 12687
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}
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],
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}]
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}]
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}]
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}]
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}
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```
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## Performance analyzer and RCA API references
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### Related links
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Further documentation on the use of performance analyzer and RCA can be found at the following links:
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- [Performance analyzer API guide]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/api/).
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- [RCA]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/rca/index/).
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- [RCA API guide]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/rca/api/).
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- [RFC: Root cause analysis](https://github.com/opensearch-project/performance-analyzer-rca/blob/main/docs/rfc-rca.pdf). |