[role="xpack"] [testenv="platinum"] [[ml-post-data]] === Post data to jobs API ++++ Post data to jobs ++++ Sends data to an anomaly detection job for analysis. ==== Request `POST _ml/anomaly_detectors//_data` ==== Description The job must have a state of `open` to receive and process the data. The data that you send to the job must use the JSON format. Multiple JSON documents can be sent, either adjacent with no separator in between them or whitespace separated. Newline delimited JSON (NDJSON) is a possible whitespace separated format, and for this the `Content-Type` header should be set to `application/x-ndjson`. Upload sizes are limited to the Elasticsearch HTTP receive buffer size (default 100 Mb). If your data is larger, split it into multiple chunks and upload each one separately in sequential time order. When running in real time, it is generally recommended that you perform many small uploads, rather than queueing data to upload larger files. When uploading data, check the <> for progress. The following records will not be processed: * Records not in chronological order and outside the latency window * Records with an invalid timestamp //TBD link to Working with Out of Order timeseries concept doc IMPORTANT: For each job, data can only be accepted from a single connection at a time. It is not currently possible to post data to multiple jobs using wildcards or a comma-separated list. ==== Path Parameters `job_id` (required):: (string) Identifier for the job ==== Query Parameters `reset_start`:: (string) Specifies the start of the bucket resetting range `reset_end`:: (string) Specifies the end of the bucket resetting range ==== Request Body A sequence of one or more JSON documents containing the data to be analyzed. Only whitespace characters are permitted in between the documents. ==== Authorization You must have `manage_ml`, or `manage` cluster privileges to use this API. For more information, see {xpack-ref}/security-privileges.html[Security Privileges]. //<>. ==== Examples The following example posts data from the it_ops_new_kpi.json file to the `it_ops_new_kpi` job: [source,js] -------------------------------------------------- $ curl -s -H "Content-type: application/json" -X POST http:\/\/localhost:9200/_ml/anomaly_detectors/it_ops_new_kpi/_data --data-binary @it_ops_new_kpi.json -------------------------------------------------- When the data is sent, you receive information about the operational progress of the job. For example: [source,js] ---- { "job_id":"it_ops_new_kpi", "processed_record_count":21435, "processed_field_count":64305, "input_bytes":2589063, "input_field_count":85740, "invalid_date_count":0, "missing_field_count":0, "out_of_order_timestamp_count":0, "empty_bucket_count":16, "sparse_bucket_count":0, "bucket_count":2165, "earliest_record_timestamp":1454020569000, "latest_record_timestamp":1455318669000, "last_data_time":1491952300658, "latest_empty_bucket_timestamp":1454541600000, "input_record_count":21435 } ---- For more information about these properties, see <>.