OpenSearch/docs/java-rest/high-level/document/update-by-query.asciidoc

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[[java-rest-high-document-update-by-query]]
=== Update By Query API
[[java-rest-high-document-update-by-query-request]]
==== Update By Query Request
A `UpdateByQueryRequest` can be used to update documents in an index.
It requires an existing index (or a set of indices) on which the update is to be performed.
The simplest form of a `UpdateByQueryRequest` looks like follows:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request]
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<1> Creates the `UpdateByQueryRequest` on a set of indices.
By default version conflicts abort the `UpdateByQueryRequest` process but you can just count them by settings it to
`proceed` in the request body
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-conflicts]
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<1> Set `proceed` on version conflict
You can limit the documents by adding a query.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-query]
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<1> Only copy documents which have field `user` set to `kimchy`
Its also possible to limit the number of processed documents by setting size.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-size]
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<1> Only copy 10 documents
By default `UpdateByQueryRequest` uses batches of 1000. You can change the batch size with `setBatchSize`.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-scrollSize]
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<1> Use batches of 100 documents
Update by query can also use the ingest feature by specifying a `pipeline`.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-pipeline]
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<1> set pipeline to `my_pipeline`
`UpdateByQueryRequest` also supports a `script` that modifies the document. The following example illustrates that.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-script]
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<1> `setScript` to increment the `likes` field on all documents with user `kimchy`.
`UpdateByQueryRequest` also helps in automatically parallelizing using `sliced-scroll` to
slice on `_uid`. Use `setSlices` to specify the number of slices to use.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-slices]
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<1> set number of slices to use
`UpdateByQueryRequest` uses the `scroll` parameter to control how long it keeps the "search context" alive.
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-scroll]
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<1> set scroll time
If you provide routing then the routing is copied to the scroll query, limiting the process to the shards that match
that routing value.
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-routing]
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<1> set routing
==== Optional arguments
In addition to the options above the following arguments can optionally be also provided:
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-timeout]
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<1> Timeout to wait for the update by query request to be performed as a `TimeValue`
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-refresh]
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<1> Refresh index after calling update by query
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-request-indicesOptions]
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<1> Set indices options
[[java-rest-high-document-update-by-query-sync]]
==== Synchronous Execution
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-execute]
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[[java-rest-high-document-update-by-query-async]]
==== Asynchronous Execution
The asynchronous execution of an update by query request requires both the `UpdateByQueryRequest`
instance and an `ActionListener` instance to be passed to the asynchronous
method:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-execute-async]
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<1> The `UpdateByQueryRequest` to execute and the `ActionListener` to use when
the execution completes
The asynchronous method does not block and returns immediately. Once it is
completed the `ActionListener` is called back using the `onResponse` method
if the execution successfully completed or using the `onFailure` method if
it failed.
A typical listener for `BulkByScrollResponse` looks like:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-execute-listener]
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<1> Called when the execution is successfully completed. The response is
provided as an argument and contains a list of individual results for each
operation that was executed. Note that one or more operations might have
failed while the others have been successfully executed.
<2> Called when the whole `UpdateByQueryRequest` fails. In this case the raised
exception is provided as an argument and no operation has been executed.
[[java-rest-high-document-update-by-query-execute-listener-response]]
==== Update By Query Response
The returned `BulkByScrollResponse` contains information about the executed operations and
allows to iterate over each result as follows:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/CRUDDocumentationIT.java[update-by-query-response]
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<1> Get total time taken
<2> Check if the request timed out
<3> Get total number of docs processed
<4> Number of docs that were updated
<5> Number of docs that were deleted
<6> Number of batches that were executed
<7> Number of skipped docs
<8> Number of version conflicts
<9> Number of times request had to retry bulk index operations
<10> Number of times request had to retry search operations
<11> The total time this request has throttled itself not including the current throttle time if it is currently sleeping
<12> Remaining delay of any current throttle sleep or 0 if not sleeping
<13> Failures during search phase
<14> Failures during bulk index operation