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d4967c38f8
* Various documentation updates.
1) Split out "data management" from "ingestion". Break it into thematic pages.
2) Move "SQL-based ingestion" into the Ingestion category. Adjust content so
all conceptual content is in concepts.md and all syntax content is in reference.md.
Shorten the known issues page to the most interesting ones.
3) Add SQL-based ingestion to the ingestion method comparison page. Remove the
index task, since index_parallel is just as good when maxNumConcurrentSubTasks: 1.
4) Rename various mentions of "Druid console" to "web console".
5) Add additional information to ingestion/partitioning.md.
6) Remove a mention of Tranquility.
7) Remove a note about upgrading to Druid 0.10.1.
8) Remove no-longer-relevant task types from ingestion/tasks.md.
9) Move ingestion/native-batch-firehose.md to the hidden section. It was previously deprecated.
10) Move ingestion/native-batch-simple-task.md to the hidden section. It is still linked in some
places, but it isn't very useful compared to index_parallel, so it shouldn't take up space
in the sidebar.
11) Make all br tags self-closing.
12) Certain other cosmetic changes.
13) Update to node-sass 7.
* make travis use node12 for docs
Co-authored-by: Vadim Ogievetsky <vadim@ogievetsky.com>
173 lines
6.2 KiB
Markdown
173 lines
6.2 KiB
Markdown
---
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id: tutorial-msq-convert-spec
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title: "Tutorial: Convert an ingestion spec for SQL-based ingestion"
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sidebar_label: "Convert ingestion spec to SQL"
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description: How to convert an ingestion spec to a query for SQL-based ingestion in the web console.
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---
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one
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~ or more contributor license agreements. See the NOTICE file
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~ distributed with this work for additional information
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~ regarding copyright ownership. The ASF licenses this file
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~ to you under the Apache License, Version 2.0 (the
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~ "License"); you may not use this file except in compliance
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~ with the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing,
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~ software distributed under the License is distributed on an
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~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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~ KIND, either express or implied. See the License for the
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~ specific language governing permissions and limitations
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~ under the License.
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-->
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> This page describes SQL-based batch ingestion using the [`druid-multi-stage-query`](../multi-stage-query/index.md)
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> extension, new in Druid 24.0. Refer to the [ingestion methods](../ingestion/index.md#batch) table to determine which
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> ingestion method is right for you.
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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.
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This tutorial demonstrates how to convert the ingestion spec to a query task in the web console.
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To convert the ingestion spec to a query task, do the following:
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1. In the **Query** view of the web console, navigate to the menu bar that includes **Run**.
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2. Click the ellipsis icon and select **Convert ingestion spec to SQL**.
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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`:
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<details><summary>Show the spec</summary>
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```json
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{
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"type": "index_parallel",
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"spec": {
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"ioConfig": {
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"type": "index_parallel",
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"inputSource": {
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"type": "http",
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"uris": [
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"https://druid.apache.org/data/wikipedia.json.gz"
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]
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},
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"inputFormat": {
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"type": "json"
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}
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},
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"tuningConfig": {
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"type": "index_parallel",
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"partitionsSpec": {
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"type": "dynamic"
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}
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},
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"dataSchema": {
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"dataSource": "wikipedia",
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"timestampSpec": {
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"column": "timestamp",
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"format": "iso"
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},
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"dimensionsSpec": {
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"dimensions": [
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"isRobot",
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"channel",
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"flags",
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"isUnpatrolled",
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"page",
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"diffUrl",
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{
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"type": "long",
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"name": "added"
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},
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"comment",
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{
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"type": "long",
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"name": "commentLength"
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},
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"isNew",
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"isMinor",
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{
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"type": "long",
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"name": "delta"
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},
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"isAnonymous",
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"user",
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{
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"type": "long",
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"name": "deltaBucket"
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},
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{
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"type": "long",
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"name": "deleted"
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},
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"namespace",
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"cityName",
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"countryName",
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"regionIsoCode",
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"metroCode",
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"countryIsoCode",
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"regionName"
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]
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},
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"granularitySpec": {
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"queryGranularity": "none",
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"rollup": false,
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"segmentGranularity": "day"
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}
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}
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}
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}
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```
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</details>
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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:
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<details><summary>Show the query</summary>
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```sql
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-- This SQL query was auto generated from an ingestion spec
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REPLACE INTO wikipedia OVERWRITE ALL
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WITH source AS (SELECT * FROM TABLE(
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EXTERN(
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'{"type":"http","uris":["https://druid.apache.org/data/wikipedia.json.gz"]}',
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'{"type":"json"}',
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'[{"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"}]'
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)
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))
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SELECT
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TIME_PARSE("timestamp") AS __time,
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"isRobot",
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"channel",
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"flags",
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"isUnpatrolled",
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"page",
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"diffUrl",
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"added",
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"comment",
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"commentLength",
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"isNew",
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"isMinor",
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"delta",
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"isAnonymous",
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"user",
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"deltaBucket",
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"deleted",
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"namespace",
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"cityName",
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"countryName",
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"regionIsoCode",
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"metroCode",
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"countryIsoCode",
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"regionName"
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FROM source
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PARTITIONED BY DAY
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```
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</details>
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4. Review the generated SQL query to make sure it matches your requirements and does what you expect.
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5. Click **Run** to start the ingestion.
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