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This option allows you to create servers that are dedicated for specific operations such as event receiving, analytics, indexing, etc.
All index data are stored in the file system, partitioned into unit is known as shards. For detailed information about shard configuration and allocation, see Storing Index Data.
Configuring common parameters
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| Parameter | Description | Default Value |
|---|---|---|
<purging-enable> | This parameter specifies whether the functionality to purge data from event tables is enabled or not. | false |
<cron-expression> | A regex expression to select the tables from which data should be purged. | 0 0 0 * * ? |
<purge-include-tables> | A list of event tables from which data should be purged can be defined as subelements of this element. | |
<data-retention-days> | The number of days for which the data should be retained in the event tables that were selected to have their data purged. All the data in these tables are cleared once the number of days that equal the value specified for this parameter have elapsed. | 365 |
Other Parameters
| Parameter | Description | Default Value |
|---|---|---|
<analytics-lucene-analyzer> | The implementation of the Analytics Lucene Analyzer is defined as a subelement of this parameter. e.g., <implementation>org.apache.lucene.analysis.standard.StandardAnalyzer</implementation> | |
<indexReplicationFactor> | The index data replication factor to be used in clustered mode. This tells how many replicas that should be kept when indexing operations are done. 0 means, no replication. It should be set to 1 or higher to have high availability. | 1 | <shardCount> |
| Note |
|---|
This parameter can only be set once for the lifetime of the cluster, and cannot be changed later on. |
6<shardIndexRecordBatchSize>20971520<shardIndexWorkerInterval>
The interval in milliseconds during which a shard index processing worker thread will sleep during index processing operations. This parameter together with the shardIndexRecordBatchSize parameter can be used to increase the final index batched data amount processed by the indexer at a given time. Usually, a higher batch data amount results in a higher throughput of the indexing operations. However, it also causes an increased latency of record insertion to indexing. Minimum value of this is 10, and a maximum value is 60000 (1 minute).