- Java REST Client (deprecated): other versions:
- Overview
- Java High Level REST Client
- Getting started
- Document APIs
- Search APIs
- Async Search APIs
- Miscellaneous APIs
- Index APIs
- Analyze API
- Create Index API
- Delete Index API
- Index Exists API
- Open Index API
- Close Index API
- Shrink Index API
- Split Index API
- Clone Index API
- Refresh API
- Flush API
- Flush Synced API
- Clear Cache API
- Force Merge API
- Rollover Index API
- Update mapping API
- Get Mappings API
- Get Field Mappings API
- Index Aliases API
- Delete Alias API
- Exists Alias API
- Get Alias API
- Update Indices Settings API
- Get Settings API
- Create or update index template API
- Validate Query API
- Get Templates API
- Templates Exist API
- Get Index API
- Freeze Index API
- Unfreeze Index API
- Delete Template API
- Reload Search Analyzers API
- Get Composable Index Templates API
- Create or update composable index template API
- Delete Composable Index Template API
- Optional arguments
- Simulate Index Template API
- Cluster APIs
- Ingest APIs
- Snapshot APIs
- Tasks APIs
- Script APIs
- Licensing APIs
- Machine Learning APIs
- Close anomaly detection jobs API
- Delete anomaly detection jobs API
- Delete anomaly detection jobs from calendar API
- Delete calendar events API
- Delete calendars API
- Delete data frame analytics jobs API
- Delete datafeeds API
- Delete expired data API
- Delete filters API
- Delete forecasts API
- Delete model snapshots API
- Delete trained models API
- Delete trained model alias API
- Estimate anomaly detection job model memory API
- Evaluate data frame analytics API
- Explain data frame analytics API
- Flush jobs API
- Forecast jobs API
- Get anomaly detection jobs API
- Get anomaly detection job stats API
- Get buckets API
- Get calendar events API
- Get calendars API
- Get categories API
- Get data frame analytics jobs API
- Get data frame analytics jobs stats API
- Get datafeeds API
- Get datafeed stats API
- Get filters API
- Get influencers API
- Get machine learning info API
- Get model snapshots API
- Get overall buckets API
- Get records API
- Get trained models API
- Get trained models stats API
- Open anomaly detection jobs API
- Post calendar events API
- Post data API
- Preview datafeeds API
- Create anomaly detection jobs API
- Add anomaly detection jobs to calendar API
- Create calendars API
- Create data frame analytics jobs API
- Create datafeeds API
- Create filters API
- Create trained models API
- Create or update trained model alias API
- Reset anomaly detection jobs API
- Revert model snapshots API
- Set upgrade mode API
- Start data frame analytics jobs API
- Start datafeeds API
- Stop data frame analytics jobs API
- Stop datafeeds API
- Update anomaly detection jobs API
- Update data frame analytics jobs API
- Update datafeeds API
- Update filters API
- Update model snapshots API
- Upgrade job snapshot API
- Migration APIs
- Rollup APIs
- Security APIs
- Create or update user API
- Get Users API
- Delete User API
- Enable User API
- Disable User API
- Change Password API
- Create or update role API
- Get Roles API
- Delete Role API
- Delete Privileges API
- Get Builtin Privileges API
- Get Application Privileges API
- Clear Roles Cache API
- Clear Privileges Cache API
- Clear Realm Cache API
- Clear API Key Cache API
- Clear Service Account Token Cache API
- Authenticate API
- Has Privileges API
- Get User Privileges API
- SSL Certificate API
- Create or update role mapping API
- Get Role Mappings API
- Delete Role Mapping API
- Create Token API
- Invalidate Token API
- Create or update privileges API
- Create API Key API
- Grant API key API
- Get API Key information API
- Invalidate API Key API
- Query API Key information API
- Get Service Accounts API
- Create Service Account Token API
- Delete Service Account Token API
- Get Service Account Credentials API
- Text Structure APIs
- Watcher APIs
- Graph APIs
- CCR APIs
- Index Lifecycle Management APIs
- Snapshot Lifecycle Management APIs
- Create or update snapshot lifecycle policy API
- Delete Snapshot Lifecycle Policy API
- Get Snapshot Lifecycle Policy API
- Start Snapshot Lifecycle Management API
- Stop Snapshot Lifecycle Management API
- Snapshot Lifecycle Management Status API
- Execute Snapshot Lifecycle Policy API
- Execute Snapshot Lifecycle Retention API
- Searchable Snapshots APIs
- Transform APIs
- Enrich APIs
- EQL APIs
- Using Java Builders
- Migration Guide
- License
WARNING: Deprecated in 7.15.0.
The Java REST Client is deprecated in favor of the Java API Client.
Count API
editCount API
editCount Request
editThe CountRequest
is used to execute a query and get the number of matches for the query. The query to use in CountRequest
can be
set in similar way as query in SearchRequest
using SearchSourceBuilder
.
In its most basic form, we can add a query to the request:
CountRequest countRequest = new CountRequest(); SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder(); searchSourceBuilder.query(QueryBuilders.matchAllQuery()); countRequest.source(searchSourceBuilder);
Creates the |
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Most search parameters are added to the |
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Add a |
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Add the |
Count Request optional arguments
editA CountRequest
also takes the following optional arguments:
Using the SearchSourceBuilder in CountRequest
editBoth in search and count API calls, most options controlling the search behavior can be set on the SearchSourceBuilder
,
which contains more or less the equivalent of the options in the search request body of the Rest API.
Here are a few examples of some common options:
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.query(QueryBuilders.termQuery("user", "kimchy"));
After this, the SearchSourceBuilder
only needs to be added to the
CountRequest
:
CountRequest countRequest = new CountRequest(); countRequest.indices("blog", "author"); countRequest.source(sourceBuilder);
Note subtle difference when using SearchSourceBuilder
in SearchRequest
and using SearchSourceBuilder
in CountRequest
- using
SearchSourceBuilder
in SearchRequest
one can use SearchSourceBuilder.size()
and SearchSourceBuilder.from()
methods to set the
number of search hits to return, and the starting index. In CountRequest
we’re interested in total number of matches and these methods
have no meaning.
The Building Queries page gives a list of all available search queries with
their corresponding QueryBuilder
objects and QueryBuilders
helper methods.
Synchronous execution
editWhen executing a CountRequest
in the following manner, the client waits
for the CountResponse
to be returned before continuing with code execution:
CountResponse countResponse = client .count(countRequest, RequestOptions.DEFAULT);
Synchronous calls may throw an IOException
in case of either failing to
parse the REST response in the high-level REST client, the request times out
or similar cases where there is no response coming back from the server.
In cases where the server returns a 4xx
or 5xx
error code, the high-level
client tries to parse the response body error details instead and then throws
a generic ElasticsearchException
and adds the original ResponseException
as a
suppressed exception to it.
Asynchronous execution
editExecuting a CountRequest
can also be done in an asynchronous fashion so that
the client can return directly. Users need to specify how the response or
potential failures will be handled by passing the request and a listener to the
asynchronous count method:
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. Failure scenarios and expected exceptions are the same as in the
synchronous execution case.
A typical listener for count
looks like:
CountResponse
editThe CountResponse
that is returned by executing the count API call provides total count of hits and details about the count execution
itself, like the HTTP status code, or whether the request terminated early:
long count = countResponse.getCount(); RestStatus status = countResponse.status(); Boolean terminatedEarly = countResponse.isTerminatedEarly();
The response also provides information about the execution on the
shard level by offering statistics about the total number of shards that were
affected by the underlying search, and the successful vs. unsuccessful shards. Possible
failures can also be handled by iterating over an array off
ShardSearchFailures
like in the following example:
int totalShards = countResponse.getTotalShards(); int skippedShards = countResponse.getSkippedShards(); int successfulShards = countResponse.getSuccessfulShards(); int failedShards = countResponse.getFailedShards(); for (ShardSearchFailure failure : countResponse.getShardFailures()) { // failures should be handled here }
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