---
id: tutorial-msq-convert-spec
title: Convert an ingestion spec for SQL-based ingestion
sidebar_label: Convert ingestion spec to SQL
description: How to convert an ingestion spec to a query for SQL-based ingestion in the web console.
---
:::info
This page describes SQL-based batch ingestion using the [`druid-multi-stage-query`](../multi-stage-query/index.md)
extension, new in Druid 24.0. Refer to the [ingestion methods](../ingestion/index.md#batch) table to determine which
ingestion method is right for you.
:::
If you're already ingesting data with [native batch ingestion](../ingestion/native-batch.md), you can use the [web console](../operations/web-console.md) to convert the ingestion spec to a SQL query that the multi-stage query task engine can use to ingest data.
This tutorial demonstrates how to convert the ingestion spec to a query task in the web console.
To convert the ingestion spec to a query task, do the following:
1. In the **Query** view of the web console, navigate to the menu bar that includes **Run**.
2. Click the ellipsis icon and select **Convert ingestion spec to SQL**.
![Convert ingestion spec to SQL](../assets/multi-stage-query/tutorial-msq-convert.png "Convert ingestion spec to SQL")
3. In the **Ingestion spec to covert** window, insert your ingestion spec. You can use your own spec or the sample ingestion spec provided in the tutorial. The sample spec uses data hosted at `https://druid.apache.org/data/wikipedia.json.gz` and loads it into a table named `wikipedia`:
Show the spec
```json
{
"type": "index_parallel",
"spec": {
"ioConfig": {
"type": "index_parallel",
"inputSource": {
"type": "http",
"uris": [
"https://druid.apache.org/data/wikipedia.json.gz"
]
},
"inputFormat": {
"type": "json"
}
},
"tuningConfig": {
"type": "index_parallel",
"partitionsSpec": {
"type": "dynamic"
}
},
"dataSchema": {
"dataSource": "wikipedia",
"timestampSpec": {
"column": "timestamp",
"format": "iso"
},
"dimensionsSpec": {
"dimensions": [
"isRobot",
"channel",
"flags",
"isUnpatrolled",
"page",
"diffUrl",
{
"type": "long",
"name": "added"
},
"comment",
{
"type": "long",
"name": "commentLength"
},
"isNew",
"isMinor",
{
"type": "long",
"name": "delta"
},
"isAnonymous",
"user",
{
"type": "long",
"name": "deltaBucket"
},
{
"type": "long",
"name": "deleted"
},
"namespace",
"cityName",
"countryName",
"regionIsoCode",
"metroCode",
"countryIsoCode",
"regionName"
]
},
"granularitySpec": {
"queryGranularity": "none",
"rollup": false,
"segmentGranularity": "day"
}
}
}
}
```
4. Click **Submit** to submit the spec. The web console uses the JSON-based ingestion spec to generate a SQL query that you can use instead. This is what the query looks like for the sample ingestion spec:
Show the query
```sql
-- This SQL query was auto generated from an ingestion spec
REPLACE INTO wikipedia OVERWRITE ALL
WITH source AS (SELECT * FROM TABLE(
EXTERN(
'{"type":"http","uris":["https://druid.apache.org/data/wikipedia.json.gz"]}',
'{"type":"json"}',
'[{"name":"timestamp","type":"string"},{"name":"isRobot","type":"string"},{"name":"channel","type":"string"},{"name":"flags","type":"string"},{"name":"isUnpatrolled","type":"string"},{"name":"page","type":"string"},{"name":"diffUrl","type":"string"},{"name":"added","type":"long"},{"name":"comment","type":"string"},{"name":"commentLength","type":"long"},{"name":"isNew","type":"string"},{"name":"isMinor","type":"string"},{"name":"delta","type":"long"},{"name":"isAnonymous","type":"string"},{"name":"user","type":"string"},{"name":"deltaBucket","type":"long"},{"name":"deleted","type":"long"},{"name":"namespace","type":"string"},{"name":"cityName","type":"string"},{"name":"countryName","type":"string"},{"name":"regionIsoCode","type":"string"},{"name":"metroCode","type":"string"},{"name":"countryIsoCode","type":"string"},{"name":"regionName","type":"string"}]'
)
))
SELECT
TIME_PARSE("timestamp") AS __time,
"isRobot",
"channel",
"flags",
"isUnpatrolled",
"page",
"diffUrl",
"added",
"comment",
"commentLength",
"isNew",
"isMinor",
"delta",
"isAnonymous",
"user",
"deltaBucket",
"deleted",
"namespace",
"cityName",
"countryName",
"regionIsoCode",
"metroCode",
"countryIsoCode",
"regionName"
FROM source
PARTITIONED BY DAY
```
4. Review the generated SQL query to make sure it matches your requirements and does what you expect.
5. Click **Run** to start the ingestion.