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- Do the following database-related configurations.
Follow the steps below to configure the <APIM Analytics
_HOME>/repository/conf/datasources/master-datasources.xml
file as requiredEnable the all the nodes to access the users database by configuring a datasource to be used by user manager as shown below.
Code Block language xml <datasource> <name>WSO2UM_DB</name> <description>The datasource used by user manager</description> <jndiConfig> <name>jdbc/WSO2UM_DB</name> </jndiConfig> <definition type="RDBMS"> <configuration> <url>jdbc:mysql://[MySQL DB url]:[port]/userdb</url> <username>[user]</username> <password>[password]</password> <driverClassName>com.mysql.jdbc.Driver</driverClassName> <maxActive>50</maxActive> <maxWait>60000</maxWait> <testOnBorrow>true</testOnBorrow> <validationQuery>SELECT 1</validationQuery> <validationInterval>30000</validationInterval> </configuration> </definition> </datasource>
Enable the nodes to access the registry database by configuring the
WSO2REG_DB
data source as follows.Code Block language xml <datasource> <name>WSO2REG_DB</name> <description>The datasource used by the registry</description> <jndiConfig> <name>jdbc/WSO2REG_DB</name> </jndiConfig> <definition type="RDBMS"> <configuration> <url>jdbc:mysql://[MySQL DB url]:[port]/regdb</url> <username>[user]</username> <password>[password]</password> <driverClassName>com.mysql.jdbc.Driver</driverClassName> <maxActive>50</maxActive> <maxWait>60000</maxWait> <testOnBorrow>true</testOnBorrow> <validationQuery>SELECT 1</validationQuery> <validationInterval>30000</validationInterval> </configuration> </definition> </datasource>
For detailed information about registry sharing strategies, see the library article Sharing Registry Space across Multiple Product Instances.
Point to
WSO2_ANALYTICS_EVENT_STORE_DB
andWSO2_ANALYTICS_PROCESSED_DATA_STORE_DB
in the<APIM Analytics_HOME>/repository/conf/datasources/analytics-datasources.xml
file as shown below.Code Block language xml <datasources-configuration> <providers> <provider>org.wso2.carbon.ndatasource.rdbms.RDBMSDataSourceReader</provider> </providers> <datasources> <datasource> <name>WSO2_ANALYTICS_EVENT_STORE_DB</name> <description>The datasource used for analytics record store</description> <definition type="RDBMS"> <configuration> <url>jdbc:mysql://[MySQL DB url]:[port]/WSO2_ANALYTICS_EVENT_STORE_DB</url> <username>[username]</username> <password>[password]</password> <driverClassName>com.mysql.jdbc.Driver</driverClassName> <maxActive>50</maxActive> <maxWait>60000</maxWait> <testOnBorrow>true</testOnBorrow> <validationQuery>SELECT 1</validationQuery> <validationInterval>30000</validationInterval> <defaultAutoCommit>false</defaultAutoCommit> </configuration> </definition> </datasource> <datasource> <name>WSO2_ANALYTICS_PROCESSED_DATA_STORE_DB</name> <description>The datasource used for analytics record store</description> <definition type="RDBMS"> <configuration> <url>jdbc:mysql://[MySQL DB url]:[port]/WSO2_ANALYTICS_PROCESSED_DATA_STORE_DB</url> <username>[username]</username> <password>[password]</password> <driverClassName>com.mysql.jdbc.Driver</driverClassName> <maxActive>50</maxActive> <maxWait>60000</maxWait> <testOnBorrow>true</testOnBorrow> <validationQuery>SELECT 1</validationQuery> <validationInterval>30000</validationInterval> <defaultAutoCommit>false</defaultAutoCommit> </configuration> </definition> </datasource> </datasources> </datasources-configuration>
For more information, see Datasources in DAS documentation.
To share the user store among the nodes, open the
<APIM Analytics_HOME>/repository/conf/user-mgt.xml
file and modify thedataSource
property of the<configuration>
element as follows.Code Block language xml <configuration> ... <Property name="dataSource">jdbc/WSO2UM_DB</Property> </configuration>
Info The datasource name specified in this configuration should be the same as the datasource used by user manager that you configured in sub step a, i.
In the
<APIM Analytics_HOME>/repository/conf/registry.xml
file, add or modify thedataSource
attribute of the<dbConfig name="govregistry">
element as follows.Code Block language xml <dbConfig name="govregistry"> <dataSource>jdbc/WSO2REG_DB</dataSource> </dbConfig> <remoteInstance url="https://localhost:9443/registry"> <id>gov</id> <cacheId>user@jdbc:mysql://localhost:3306/regdb</cacheId> <dbConfig>govregistry</dbConfig> <readOnly>false</readOnly> <enableCache>true</enableCache> <registryRoot>/</registryRoot> </remoteInstance> <mount path="/_system/governance" overwrite="true"> <instanceId>gov</instanceId> <targetPath>/_system/governance</targetPath> </mount> <mount path="/_system/config" overwrite="true"> <instanceId>gov</instanceId> <targetPath>/_system/config</targetPath> </mount>
Note Do not replace the following configuration when adding in the mounting configurations. The registry mounting configurations mentioned in the above steps should be added in addition to the following.
Code Block language xml <dbConfig name="wso2registry"> <dataSource>jdbc/WSO2CarbonDB</dataSource> </dbConfig>
- Update the
<APIM Analytics_HOME>/repository/conf/axis2/axis2.xml
file as follows to enable Hazlecast clustering for both nodes.Set
clustering class="org.wso2.carbon.core.clustering.hazelcast.HazelcastClusteringAgent"
totrue
as shown below to enable Hazlecast clustering.Code Block language xml <clustering class="org.wso2.carbon.core.clustering.hazelcast.HazelcastClusteringAgent" enable="true">
Enable wka mode on both nodes as shown below. See For more information on wka mode, see About Membership Schemes for more information on wka mode.
Code Block language xml <parameter name="membershipScheme">wka</parameter>
Add both the nodes as well known members in the cluster under the
members
tag in each node as shown in the example below.Code Block language xml <members> <member> <hostName>[node1 IP]</hostName> <port>[node1 port]</port> </member> <member> <hostName>[node2 IP]</hostName> <port>[node2 port]</port> </member> </members>
For each node, enter the respective server IP address as the value for the
localMemberHost
property as shown below.Code Block language xml <parameter name="localMemberHost">[Server_IP_Address]</parameter>
Expand title Click here to view the complete clustering section of the axis2.xml file. with the changes mentioned above. Code Block language xml <clustering class="org.wso2.carbon.core.clustering.hazelcast.HazelcastClusteringAgent" enable="true"> <!-- This parameter indicates whether the cluster has to be automatically initalized when the AxisConfiguration is built. If set to "true" the initialization will not be done at that stage, and some other party will have to explictly initialize the cluster. --> <parameter name="AvoidInitiation">true</parameter> <!-- The membership scheme used in this setup. The only values supported at the moment are "multicast" and "wka" 1. multicast - membership is automatically discovered using multicasting 2. wka - Well-Known Address based multicasting. Membership is discovered with the help of one or more nodes running at a Well-Known Address. New members joining a cluster will first connect to a well-known node, register with the well-known node and get the membership list from it. When new members join, one of the well-known nodes will notify the others in the group. When a member leaves the cluster or is deemed to have left the cluster, it will be detected by the Group Membership Service (GMS) using a TCP ping mechanism. --> <parameter name="membershipScheme">wka</parameter> <!--<parameter name="licenseKey">xxx</parameter>--> <!--<parameter name="mgtCenterURL">http://localhost:8081/mancenter/</parameter>--> <!-- The clustering domain/group. Nodes in the same group will belong to the same multicast domain. There will not be interference between nodes in different groups. --> <parameter name="domain">wso2.carbon.domain</parameter> <!-- The multicast address to be used --> <!--<parameter name="mcastAddress">228.0.0.4</parameter>--> <!-- The multicast port to be used --> <parameter name="mcastPort">45564</parameter> <parameter name="mcastTTL">100</parameter> <parameter name="mcastTimeout">60</parameter> <!-- The IP address of the network interface to which the multicasting has to be bound to. Multicasting would be done using this interface. --> <!-- <parameter name="mcastBindAddress">10.100.5.109</parameter> --> <!-- The host name or IP address of this member --> <parameter name="localMemberHost">[node IP]</parameter> <!-- The bind adress of this member. The difference between localMemberHost & localMemberBindAddress is that localMemberHost is the one that is advertised by this member, while localMemberBindAddress is the address to which this member is bound to. --> <!-- <parameter name="localMemberBindAddress">[node IP]</parameter> --> <!-- The TCP port used by this member. This is the port through which other nodes will contact this member --> <parameter name="localMemberPort">[node port]</parameter> <!-- The bind port of this member. The difference between localMemberPort & localMemberBindPort is that localMemberPort is the one that is advertised by this member, while localMemberBindPort is the port to which this member is bound to. --> <!-- <parameter name="localMemberBindPort">4001</parameter> --> <!-- Properties specific to this member --> <parameter name="properties"> <property name="backendServerURL" value="https://${hostName}:${httpsPort}/services/"/> <property name="mgtConsoleURL" value="https://${hostName}:${httpsPort}/"/> <property name="subDomain" value="worker"/> </parameter> <!-- Uncomment the following section to load custom Hazelcast data serializers. --> <!-- <parameter name="hazelcastSerializers"> <serializer typeClass="java.util.TreeSet">org.wso2.carbon.hazelcast.serializer.TreeSetSerializer </serializer> <serializer typeClass="java.util.Map">org.wso2.carbon.hazelcast.serializer.MapSerializer</serializer> </parameter> --> <!-- The list of static or well-known members. These entries will only be valid if the "membershipScheme" above is set to "wka" --> <members> <member> <hostName>[node1 IP]</hostName> <port>[node1 port]</port> </member> <member> <hostName>[node2 IP]</hostName> <port>[node2 port]</port> </member> </members> <!-- Enable the groupManagement entry if you need to run this node as a cluster manager. Multiple application domains with different GroupManagementAgent implementations can be defined in this section. --> <groupManagement enable="false"> <applicationDomain name="wso2.as.domain" description="AS group" agent="org.wso2.carbon.core.clustering.hazelcast.HazelcastGroupManagementAgent" subDomain="worker" port="2222"/> </groupManagement> </clustering>
Configure the
<APIM Analytics_HOME>/repository/conf/event-processor.xml
file as follows to cluster API-M Analytics in the Receiver.Anchor EventProcessor EventProcessor Enable the
HA
mode by setting the following property.Code Block language xml <mode name="HA" enable="true">
Disable the
Distributed
mode by setting the following property.Code Block language xml <mode name="Distributed" enable="false">
For each node, enter the respective server IP address under the
HA mode
Config section as shown in the example below.Info When you enable the HA mode for WSO2 API-M Analytics, the following are enabled by default:
State persistence: If there is no real time use case that requires any state information after starting the cluster, you should disable event persistence by setting the
persistence
attribute tofalse
in the<APIM Analytics_HOME>/repository/conf/event-processor.xml
file as shown below.Code Block language xml <persistence enable="false"> <persistenceIntervalInMinutes>15</persistenceIntervalInMinutes> <persisterSchedulerPoolSize>10</persisterSchedulerPoolSize> <persister class="org.wso2.carbon.event.processor.core.internal.persistence.FileSystemPersistenceStore"> <property key="persistenceLocation">cep_persistence</property> </persister> </persistence>
Tip When state persistence is enabled for WSO2 API-M Analytics, the internal state of API-M Analytics is persisted in files. These files are not automatically deleted. Therefore, if you want to save space in your API-M Analytics pack, you need to delete them manually.
These files are created in the
<APIM Analytics_HOME>/cep_persistence/<tenant-id>
directory. This directory has a separate sub-directory for each execution plan. Each execution plan can have multiple files. The format of each file name is<TIMESTAMP>_<EXECUTION_PLAN_NAME>
(e.g,1493101044948_MyExecutionPlan
). If you want to clear files for a specific execution plan, you need to leave the two files with the latest timestamps and delete the rest.- Event synchronization: However, if you set the
event.duplicated.in.cluster=true
property for an event receiver configured in a node, API-M Analytics does not perform event synchronization for that receiver.
Code Block language xml <!-- HA Mode Config --> <mode name="HA" enable="true"> ... <eventSync> <hostName>[Server_IP_Address]</hostName>
Expand title Click here to view the complete event-processor.xml file with the changes mentioned above. Code Block language xml <eventProcessorConfiguration> <mode name="SingleNode" enable="false"> <persistence enable="false"> <persistenceIntervalInMinutes>15</persistenceIntervalInMinutes> <persisterSchedulerPoolSize>10</persisterSchedulerPoolSize> <persister class="org.wso2.carbon.event.processor.core.internal.persistence.FileSystemPersistenceStore"> <property key="persistenceLocation">cep_persistence</property> </persister> </persistence> </mode> <!-- HA Mode Config --> <mode name="HA" enable="true"> <nodeType> <worker enable="true"/> <presenter enable="false"/> </nodeType> <checkMemberUpdateInterval>10000</checkMemberUpdateInterval> <eventSync> <hostName>172.18.1.217</hostName> <port>11224</port> <reconnectionInterval>20000</reconnectionInterval> <serverThreads>20000</serverThreads> <!--Size of TCP event publishing client's send buffer in bytes--> <publisherTcpSendBufferSize>5242880</publisherTcpSendBufferSize> <!--Character encoding of TCP event publishing client--> <publisherCharSet>UTF-8</publisherCharSet> <publisherBufferSize>1024</publisherBufferSize> <publisherConnectionStatusCheckInterval>30000</publisherConnectionStatusCheckInterval> <!--Number of events that could be queued at receiver before they are synced between CEP/DAS nodes--> <receiverQueueSize>1000000</receiverQueueSize> <!--Max total size of events that could be queued at receiver before they are synced between CEP/DAS nodes--> <receiverQueueMaxSizeMb>10</receiverQueueMaxSizeMb> <!--Number of events that could be queued at publisher to sync output between CEP/DAS nodes--> <publisherQueueSize>1000000</publisherQueueSize> <!--Max total size of events that could be queued at publisher to sync output between CEP/DAS nodes--> <publisherQueueMaxSizeMb>10</publisherQueueMaxSizeMb> </eventSync> <management> <hostName>172.18.1.217</hostName> <port>10005</port> <tryStateChangeInterval>15000</tryStateChangeInterval> <stateSyncRetryInterval>10000</stateSyncRetryInterval> </management> <presentation> <hostName>0.0.0.0</hostName> <port>11000</port> <!--Size of TCP event publishing client's send buffer in bytes--> <publisherTcpSendBufferSize>5242880</publisherTcpSendBufferSize> <!--Character encoding of TCP event publishing client--> <publisherCharSet>UTF-8</publisherCharSet> <publisherBufferSize>1024</publisherBufferSize> <publisherConnectionStatusCheckInterval>30000</publisherConnectionStatusCheckInterval> </presentation> </mode> <!-- Distributed Mode Config --> <mode name="Distributed" enable="false"> <nodeType> <worker enable="true"/> <manager enable="true"> <hostName>0.0.0.0</hostName> <port>8904</port> </manager> <presenter enable="false"> <hostName>0.0.0.0</hostName> <port>11000</port> </presenter> </nodeType> <management> <managers> <manager> <hostName>localhost</hostName> <port>8904</port> </manager> <manager> <hostName>localhost</hostName> <port>8905</port> </manager> </managers> <!--Connection re-try interval to connect to Storm Manager service in case of a connection failure--> <reconnectionInterval>20000</reconnectionInterval> <!--Heart beat interval (in ms) for event listeners in "Storm Receivers" and "CEP Publishers" to acknowledge their availability for receiving events"--> <heartbeatInterval>5000</heartbeatInterval> <!--Storm topology re-submit interval in case of a topology submission failure--> <topologyResubmitInterval>10000</topologyResubmitInterval> </management> <transport> <!--Port range to be used for events listener servers in "Storm Receiver Spouts" and "CEP Publishers"--> <portRange> <min>15000</min> <max>15100</max> </portRange> <!--Connection re-try interval (in ms) for connection failures between "CEP Receiver" to "Storm Receiver" connections and "Storm Publisher" to "CEP Publisher" connections--> <reconnectionInterval>20000</reconnectionInterval> <!--Size of the output queue of each "CEP Receiver" which stores events to be published into "Storm Receivers" . This must be a power of two--> <cepReceiverOutputQueueSize>8192</cepReceiverOutputQueueSize> <!--Size of the output queue of each "Storm Publisher" which stores events to be published into "CEP Publisher" . This must be a power of two--> <stormPublisherOutputQueueSize>8192</stormPublisherOutputQueueSize> <!--Size of TCP event publishing client's send buffer in bytes--> <tcpEventPublisherSendBufferSize>5242880</tcpEventPublisherSendBufferSize> <!--Character encoding of TCP event publishing client--> <tcpEventPublisherCharSet>UTF-8</tcpEventPublisherCharSet> <!--Size of the event queue in each storm spout which stores events to be processed by storm bolts --> <stormSpoutBufferSize>10000</stormSpoutBufferSize> <connectionStatusCheckInterval>20000</connectionStatusCheckInterval> </transport> <presentation> <presentationOutputQueueSize>1024</presentationOutputQueueSize> <!--Size of TCP event publishing client's send buffer in bytes--> <tcpEventPublisherSendBufferSize>5242880</tcpEventPublisherSendBufferSize> <!--Character encoding of TCP event publishing client--> <tcpEventPublisherCharSet>UTF-8</tcpEventPublisherCharSet> <connectionStatusCheckInterval>20000</connectionStatusCheckInterval> </presentation> <statusMonitor> <lockTimeout>60000</lockTimeout> <updateRate>60000</updateRate> </statusMonitor> <stormJar>org.wso2.cep.storm.dependencies.jar</stormJar> <distributedUIUrl></distributedUIUrl> <memberUpdateCheckInterval>20000</memberUpdateCheckInterval> </mode> </eventProcessorConfiguration>
Info The following node types are configured for the HA deployment mode in the
<APIM Analytics_HOME>/repository/conf/event-processor.xml
file.eventSync
: Both the active and the passive nodes in this setup are event synchronizing nodes as explained in the introduction. Therefore, each node should have the host and the port on which it is operating specified under the<eventSync>
element.Info Note that the
eventSync
port is not automatically updated to the port in which each node operates via port offset.management
: In this setup, both the nodes carry out the same tasks, and therefore, both nodes are considered manager nodes. Therefore, each node should have the host and the port on which it is operating specified under the<management>
element.Info Note that the
management
port is not automatically updated to the port in which each node operates via port offset.presentation
: You can optionally specify only one of the two nodes in this setup as the presenter node. The dashboards in which processed information is displayed are configured only in the presenter node. Each node should have the host and the port on which the assigned presenter node is operating specified under the<presentation>
element. The host and the port as well as the other configurations under the<presentation>
element are effective only when thepresenter enable="false
property is set under the<!-- HA Mode Config -->
section.
Update the
<APIM Analytics_HOME>/repository/conf/analytics/spark/spark-defaults.conf
file as follows to use the Spark cluster embedded within API-M Analytics.- Keep the
carbon.spark.master
configuration aslocal
. This instructs Spark to create a Spark cluster using the Hazelcast cluster. Enter
2
as the value for thecarbon.spark.master.count
configuration. This specifies that there should be two masters in the Spark cluster. One master serves as an active master and the other serves as a stand-by master.
The following example shows the
<APIM Analytics_HOME>/repository/conf/analytics/spark/spark-defaults.conf
file with changes mentioned above.Code Block carbon.spark.master local carbon.spark.master.count 2
For more information, see Spark Configurations in DAS documentation.
Warning Important: If the path to
<APIM Analytics_HOME>
is different in the two nodes, please do the following.Localtabgroup Localtab active true title UNIX environment Create a symbolic link to
<APIM Analytics_HOME>
in both nodes, where paths of those symbolic links are identical. This ensures that if we use the symbolic link to access API-M Analytics, we can use a common path. To do this, set the following property in the<APIM Analytics_HOME>/repository/conf/analytics/spark/spark-defaults.conf
file.carbon.das.symbolic.link /home/ubuntu/das/das_symlink/
Localtab title Windows environment In the Windows environment there is a strict requirement to have both API-M Analytics distributions in a common path.
- Keep the
In order to share the C-Apps deployed among the nodes, configure the SVN-based deployment synchronizer. For detailed instructions, see Configuring SVN-Based Deployment Synchronizer.
Tip API-M Analytics Minimum High availability Deployment set up does not use a manager and a worker. For the purpose of configuring the deployment synchronizer, you can add the configurations relevant to the manager for the node of your choice, and add the configurations relating to the worker for the other node.
Info If you do not configure the deployment synchronizer, you are required to deploy any C-App you use in the API-M Analytics Minimum High Availability Deployment set up to both the nodes.
If the physical API-M Analytics server has multiple network interfaces with different IPs, and if you want Spark to use a specific Interface IP, open either the
<APIM Analytics_HOME>/bin/load-spark-env-vars.sh
file (for Linux) or<APIM Analytics_HOME>/bin/load-spark-env-vars.bat
file (for Windows), and add the following parameter to configure the Spark IP address.Code Block export SPARK_LOCAL_IP=<IP_Address>
- Note that if you are deploying in an environment where file systems do not get persisted automatically, it's required to persist and share some directories under <APIM_ANALYTICS_HOME> directory. Please see APIM Analytics section in the Common Runtime and Configuration Artifacts page.
Starting the cluster
Once you complete the configurations mentioned above, start the two API-M Analytics nodes. If the cluster is successfully configured, the following CLI logs are generated.
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