145 lines
3.8 KiB
Markdown
145 lines
3.8 KiB
Markdown
---
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layout: default
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title: CSV
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parent: Ingest processors
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nav_order: 40
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redirect_from:
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- /api-reference/ingest-apis/processors/csv/
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---
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# CSV processor
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**Introduced 1.0**
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{: .label .label-purple }
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The `csv` processor is used to parse CSVs and store them as individual fields in a document. The processor ignores empty fields.
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## Example
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The following is the syntax for the `csv` processor:
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```json
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{
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"csv": {
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"field": "field_name",
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"target_fields": ["field1, field2, ..."]
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}
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}
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```
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{% include copy-curl.html %}
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## Configuration parameters
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The following table lists the required and optional parameters for the `csv` processor.
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Parameter | Required | Description |
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|-----------|-----------|-----------|
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`field` | Required | The name of the field that contains the data to be converted. Supports template snippets. |
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`target_fields` | Required | The name of the field in which to store the parsed data. |
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`description` | Optional | A brief description of the processor. |
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`empty_value` | Optional | Represents optional parameters that are not required or are not applicable. |
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`if` | Optional | A condition for running this processor. |
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`ignore_failure` | Optional | If set to `true`, failures are ignored. Default is `false`. |
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`ignore_missing` | Optional | If set to `true`, the processor will not fail if the field does not exist. Default is `true`. |
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`on_failure` | Optional | A list of processors to run if the processor fails. |
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`quote` | Optional | The character used to quote fields in the CSV data. Default is `"`. |
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`separator` | Optional | The delimiter used to separate the fields in the CSV data. Default is `,`. |
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`tag` | Optional | An identifier tag for the processor. Useful for debugging to distinguish between processors of the same type. |
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`trim` | Optional | If set to `true`, the processor trims white space from the beginning and end of the text. Default is `false`. |
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## Using the processor
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Follow these steps to use the processor in a pipeline.
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**Step 1: Create a pipeline.**
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The following query creates a pipeline, named `csv-processor`, that splits `resource_usage` into three new fields named `cpu_usage`, `memory_usage`, and `disk_usage`:
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```json
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PUT _ingest/pipeline/csv-processor
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{
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"description": "Split resource usage into individual fields",
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"processors": [
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{
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"csv": {
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"field": "resource_usage",
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"target_fields": ["cpu_usage", "memory_usage", "disk_usage"],
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"separator": ","
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}
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}
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]
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}
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```
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{% include copy-curl.html %}
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**Step 2 (Optional): Test the pipeline.**
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It is recommended that you test your pipeline before you ingest documents.
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{: .tip}
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To test the pipeline, run the following query:
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```json
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POST _ingest/pipeline/csv-processor/_simulate
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{
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"docs": [
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{
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"_index": "testindex1",
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"_id": "1",
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"_source": {
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"resource_usage": "25,4096,10",
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"memory_usage": "4096",
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"disk_usage": "10",
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"cpu_usage": "25"
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}
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}
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]
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}
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```
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{% include copy-curl.html %}
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#### Response
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The following example response confirms that the pipeline is working as expected:
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```json
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{
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"docs": [
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{
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"doc": {
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"_index": "testindex1",
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"_id": "1",
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"_source": {
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"memory_usage": "4096",
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"disk_usage": "10",
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"resource_usage": "25,4096,10",
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"cpu_usage": "25"
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},
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"_ingest": {
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"timestamp": "2023-08-22T16:40:45.024796379Z"
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}
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}
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}
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]
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}
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```
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**Step 3: Ingest a document.**
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The following query ingests a document into an index named `testindex1`:
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```json
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PUT testindex1/_doc/1?pipeline=csv-processor
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{
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"resource_usage": "25,4096,10"
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}
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```
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{% include copy-curl.html %}
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**Step 4 (Optional): Retrieve the document.**
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To retrieve the document, run the following query:
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```json
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GET testindex1/_doc/1
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```
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{% include copy-curl.html %}
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