Bulk API
editBulk API
editThe bulk API makes it possible to perform many index/delete operations in a single API call. This can greatly increase the indexing speed.
The REST API endpoint is /_bulk
, and it expects the following newline delimited JSON
(NDJSON) structure:
action_and_meta_data\n optional_source\n action_and_meta_data\n optional_source\n .... action_and_meta_data\n optional_source\n
NOTE: the final line of data must end with a newline character \n
. Each newline character
may be preceded by a carriage return \r
. When sending requests to this endpoint the
Content-Type
header should be set to application/x-ndjson
.
The possible actions are index
, create
, delete
and update
.
index
and create
expect a source on the next
line, and have the same semantics as the op_type
parameter to the
standard index API (i.e. create will fail if a document with the same
index and type exists already, whereas index will add or replace a
document as necessary). delete
does not expect a source on the
following line, and has the same semantics as the standard delete API.
update
expects that the partial doc, upsert and script and its options
are specified on the next line.
If you’re providing text file input to curl
, you must use the
--data-binary
flag instead of plain -d
. The latter doesn’t preserve
newlines. Example:
$ cat requests { "index" : { "_index" : "test", "_type" : "type1", "_id" : "1" } } { "field1" : "value1" } $ curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests"; echo {"took":7, "errors": false, "items":[{"index":{"_index":"test","_type":"type1","_id":"1","_version":1,"result":"created","forced_refresh":false}}]}
Because this format uses literal \n
's as delimiters, please be sure
that the JSON actions and sources are not pretty printed. Here is an
example of a correct sequence of bulk commands:
POST _bulk { "index" : { "_index" : "test", "_type" : "type1", "_id" : "1" } } { "field1" : "value1" } { "delete" : { "_index" : "test", "_type" : "type1", "_id" : "2" } } { "create" : { "_index" : "test", "_type" : "type1", "_id" : "3" } } { "field1" : "value3" } { "update" : {"_id" : "1", "_type" : "type1", "_index" : "test"} } { "doc" : {"field2" : "value2"} }
The result of this bulk operation is:
{ "took": 30, "errors": false, "items": [ { "index": { "_index": "test", "_type": "type1", "_id": "1", "_version": 1, "result": "created", "_shards": { "total": 2, "successful": 1, "failed": 0 }, "created": true, "status": 201 } }, { "delete": { "found": false, "_index": "test", "_type": "type1", "_id": "2", "_version": 1, "result": "not_found", "_shards": { "total": 2, "successful": 1, "failed": 0 }, "status": 404 } }, { "create": { "_index": "test", "_type": "type1", "_id": "3", "_version": 1, "result": "created", "_shards": { "total": 2, "successful": 1, "failed": 0 }, "created": true, "status": 201 } }, { "update": { "_index": "test", "_type": "type1", "_id": "1", "_version": 2, "result": "updated", "_shards": { "total": 2, "successful": 1, "failed": 0 }, "status": 200 } } ] }
The endpoints are /_bulk
, /{index}/_bulk
, and {index}/{type}/_bulk
.
When the index or the index/type are provided, they will be used by
default on bulk items that don’t provide them explicitly.
A note on the format. The idea here is to make processing of this as
fast as possible. As some of the actions will be redirected to other
shards on other nodes, only action_meta_data
is parsed on the
receiving node side.
Client libraries using this protocol should try and strive to do something similar on the client side, and reduce buffering as much as possible.
The response to a bulk action is a large JSON structure with the individual results of each action that was performed. The failure of a single action does not affect the remaining actions.
There is no "correct" number of actions to perform in a single bulk call. You should experiment with different settings to find the optimum size for your particular workload.
If using the HTTP API, make sure that the client does not send HTTP chunks, as this will slow things down.
Versioning
editEach bulk item can include the version value using the
_version
/version
field. It automatically follows the behavior of the
index / delete operation based on the _version
mapping. It also
support the version_type
/_version_type
(see versioning)
Routing
editEach bulk item can include the routing value using the
_routing
/routing
field. It automatically follows the behavior of the
index / delete operation based on the _routing
mapping.
Parent
editEach bulk item can include the parent value using the _parent
/parent
field. It automatically follows the behavior of the index / delete
operation based on the _parent
/ _routing
mapping.
Wait For Active Shards
editWhen making bulk calls, you can set the wait_for_active_shards
parameter to require a minimum number of shard copies to be active
before starting to process the bulk request. See
here for further details and a usage
example.
Refresh
editControl when the changes made by this request are visible to search. See refresh.
Update
editWhen using update
action _retry_on_conflict
can be used as field in
the action itself (not in the extra payload line), to specify how many
times an update should be retried in the case of a version conflict.
The update
action payload, supports the following options: doc
(partial document), upsert
, doc_as_upsert
, script
and _source
. See update documentation for details on
the options. Example with update actions:
POST _bulk { "update" : {"_id" : "1", "_type" : "type1", "_index" : "index1", "_retry_on_conflict" : 3} } { "doc" : {"field" : "value"} } { "update" : { "_id" : "0", "_type" : "type1", "_index" : "index1", "_retry_on_conflict" : 3} } { "script" : { "inline": "ctx._source.counter += params.param1", "lang" : "painless", "params" : {"param1" : 1}}, "upsert" : {"counter" : 1}} { "update" : {"_id" : "2", "_type" : "type1", "_index" : "index1", "_retry_on_conflict" : 3} } { "doc" : {"field" : "value"}, "doc_as_upsert" : true } { "update" : {"_id" : "3", "_type" : "type1", "_index" : "index1", "_source" : true} } { "doc" : {"field" : "value"} } { "update" : {"_id" : "4", "_type" : "type1", "_index" : "index1"} } { "doc" : {"field" : "value"}, "_source": true}