SkyWalking storage is pluggable, we have provided the following storage solutions, you could easily
use is by changing the application.yml
Native supported storage
- H2
- ElasticSearch 6
- MySQL
- TiDB
Redistribution version with supported storage.
- ElasticSearch 5
Active H2 as storage, set storage provider to H2 In-Memory Databases. Default in distribution package.
Please read Database URL Overview
in H2 official document,
you could set the target to H2 in Embedded, Server and Mixed modes.
Setting fragment example
storage:
h2:
driver: org.h2.jdbcx.JdbcDataSource
url: jdbc:h2:mem:skywalking-oap-db
user: sa
Active ElasticSearch 6 as storage, set storage provider to elasticsearch.
Required ElasticSearch 6.3.2 or higher, excepted 7.0.0 or higher. HTTP RestHighLevelClient is used to connect server.
Setting fragment example
storage:
elasticsearch:
# nameSpace: ${SW_NAMESPACE:""}
# user: ${SW_ES_USER:""} # User needs to be set when Http Basic authentication is enabled
# password: ${SW_ES_PASSWORD:""} # Password to be set when Http Basic authentication is enabled
#trustStorePath: ${SW_SW_STORAGE_ES_SSL_JKS_PATH:""}
#trustStorePass: ${SW_SW_STORAGE_ES_SSL_JKS_PASS:""}
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
example:
storage:
elasticsearch:
# nameSpace: ${SW_NAMESPACE:""}
user: ${SW_ES_USER:""} # User needs to be set when Http Basic authentication is enabled
password: ${SW_ES_PASSWORD:""} # Password to be set when Http Basic authentication is enabled
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:443}
trustStorePath: ${SW_SW_STORAGE_ES_SSL_JKS_PATH:"../es_keystore.jks"}
trustStorePass: ${SW_SW_STORAGE_ES_SSL_JKS_PASS:""}
protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"https"}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
TTL in ElasticSearch overrides the settings of core, read ElasticSearch section in TTL document
Read the ElasticSearch storage FAQ if you are new to ElasticSearch. And recommend read more about these configuration from ElasticSearch official document. This effects the performance of ElasticSearch very much.
This implementation shares most of elasticsearch
, just extend to support zipkin span storage.
It has all same configs.
storage:
zipkin-elasticsearch:
nameSpace: ${SW_NAMESPACE:""}
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
user: ${SW_ES_USER:""}
password: ${SW_ES_PASSWORD:""}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
This implementation shares most of elasticsearch
, just extend to support zipkin span storage.
It has all same configs.
storage:
jaeger-elasticsearch:
nameSpace: ${SW_NAMESPACE:""}
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
user: ${SW_ES_USER:""}
password: ${SW_ES_PASSWORD:""}
indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
When namespace is set, names of all indexes in ElasticSearch will use it as prefix.
We only support basic authentication. If you need that, you could set user
and password
.
For how to enable http basic authentication, you could read this https://brudtkuhl.com/blog/securing-elasticsearch/
Active MySQL as storage, set storage provider to mysql.
NOTICE: MySQL driver is NOT allowed in Apache official distribution and source codes.
Please download MySQL driver by yourself. Copy the connection driver jar to oap-libs
.
storage:
mysql:
All connection related settings including link url, username and password
are in datasource-settings.properties
.
This setting file follow HikariCP connection pool document.
Currently tested TiDB in version 2.0.9, and Mysql Client driver in version 8.0.13. Active TiDB as storage, set storage provider to mysql.
storage:
mysql:
All connection related settings including link url, username and password
are in datasource-settings.properties
. And these settings can refer to the configuration of MySQL above.
ElasticSearch 5 is incompatible with ElasticSearch 6 Java client jar, so it could not be included in native distribution. OpenSkywalking/SkyWalking-With-Es5x-Storage repo includes the distribution version.
Follow Storage extension development guide in Project Extensions document in development guide.