OpenSearch/docs/java-api/docs/bulk.asciidoc

[[java-docs-bulk]]
=== Bulk API

The bulk API allows one to index and delete several documents in a
single request. Here is a sample usage:

[source,java]
--------------------------------------------------
import static org.elasticsearch.common.xcontent.XContentFactory.*;

BulkRequestBuilder bulkRequest = client.prepareBulk();

// either use client#prepare, or use Requests# to directly build index/delete requests
bulkRequest.add(client.prepareIndex("twitter", "tweet", "1")
        .setSource(jsonBuilder()
                    .startObject()
                        .field("user", "kimchy")
                        .field("postDate", new Date())
                        .field("message", "trying out Elasticsearch")
                    .endObject()
                  )
        );

bulkRequest.add(client.prepareIndex("twitter", "tweet", "2")
        .setSource(jsonBuilder()
                    .startObject()
                        .field("user", "kimchy")
                        .field("postDate", new Date())
                        .field("message", "another post")
                    .endObject()
                  )
        );
        
BulkResponse bulkResponse = bulkRequest.get();
if (bulkResponse.hasFailures()) {
    // process failures by iterating through each bulk response item
}
--------------------------------------------------

[[java-docs-bulk-processor]]
=== Using Bulk Processor

The `BulkProcessor` class offers a simple interface to flush bulk operations automatically based on the number or size
of requests, or after a given period.

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;
import org.elasticsearch.common.unit.TimeValue;

BulkProcessor bulkProcessor = BulkProcessor.builder(
        client,  <1>
        new BulkProcessor.Listener() {
            @Override
            public void beforeBulk(long executionId,
                                   BulkRequest request) { ... } <2>

            @Override
            public void afterBulk(long executionId,
                                  BulkRequest request,
                                  BulkResponse response) { ... } <3>

            @Override
            public void afterBulk(long executionId,
                                  BulkRequest request,
                                  Throwable failure) { ... } <4>
        })
        .setBulkActions(10000) <5>
        .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
<2> This method is called just before bulk is executed. You can for example see the numberOfActions with
    `request.numberOfActions()`
<3> This method is called after bulk execution. You can for example check if there was some failing requests
    with `response.hasFailures()`
<4> This method is called when the bulk failed and raised a `Throwable`
<5> We want to execute the bulk every 10 000 requests
<6> We want to flush the bulk every 1gb
<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`:

[source,java]
--------------------------------------------------
bulkProcessor.add(new IndexRequest("twitter", "tweet", "1").source(/* your doc here */));
bulkProcessor.add(new DeleteRequest("twitter", "tweet", "2"));
--------------------------------------------------

By default, `BulkProcessor`:

* sets bulkActions to `1000`
* 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:

[source,java]
--------------------------------------------------
bulkProcessor.awaitClose(10, TimeUnit.MINUTES);
--------------------------------------------------

or

[source,java]
--------------------------------------------------
bulkProcessor.close();
--------------------------------------------------

Both methods flush any remaining documents and disable all other scheduled flushes if they were scheduled by setting
`flushInterval`. If concurrent requests were enabled the `awaitClose` method waits for up to the specified timeout for
all bulk requests to complete then returns `true`, if the specified waiting time elapses before all bulk requests complete,
`false` is returned. The `close` method doesn't wait for any remaining bulk requests to complete and exits immediately.