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