Merge remote-tracking branch 'danielmitterdorfer/doc-bulk-processor-backoff'

This commit is contained in:
Daniel Mitterdorfer 2015-12-18 19:41:07 +01:00
commit b7ead723cf
1 changed files with 8 additions and 0 deletions

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@ -47,6 +47,7 @@ To use it, first create a `BulkProcessor` instance:
[source,java]
--------------------------------------------------
import org.elasticsearch.action.bulk.BackoffPolicy;
import org.elasticsearch.action.bulk.BulkProcessor;
import org.elasticsearch.common.unit.ByteSizeUnit;
import org.elasticsearch.common.unit.ByteSizeValue;
@ -73,6 +74,8 @@ BulkProcessor bulkProcessor = BulkProcessor.builder(
.setBulkSize(new ByteSizeValue(1, ByteSizeUnit.GB)) <6>
.setFlushInterval(TimeValue.timeValueSeconds(5)) <7>
.setConcurrentRequests(1) <8>
.setBackoffPolicy(
BackoffPolicy.exponentialBackoff(TimeValue.timeValueMillis(100), 3)) <9>
.build();
--------------------------------------------------
<1> Add your elasticsearch client
@ -86,6 +89,10 @@ BulkProcessor bulkProcessor = BulkProcessor.builder(
<7> We want to flush the bulk every 5 seconds whatever the number of requests
<8> Set the number of concurrent requests. A value of 0 means that only a single request will be allowed to be
executed. A value of 1 means 1 concurrent request is allowed to be executed while accumulating new bulk requests.
<9> Set a custom backoff policy which will initially wait for 100ms, increase exponentially and retries up to three
times. A retry is attempted whenever one or more bulk item requests have failed with an `EsRejectedExecutionException`
which indicates that there were too little compute resources available for processing the request. To disable backoff,
pass `BackoffPolicy.noBackoff()`.
Then you can simply add your requests to the `BulkProcessor`:
@ -101,6 +108,7 @@ By default, `BulkProcessor`:
* sets bulkSize to `5mb`
* does not set flushInterval
* sets concurrentRequests to 1
* sets backoffPolicy to an exponential backoff with 8 retries and a start delay of 50ms. The total wait time is roughly 5.1 seconds.
When all documents are loaded to the `BulkProcessor` it can be closed by using `awaitClose` or `close` methods: