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---
layout: doc_page
title: "Tutorial: Querying data"
---
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# Tutorial: Querying data
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This tutorial will demonstrate how to query data in Apache Druid (incubating), with examples for Druid SQL and Druid's native query format.
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The tutorial assumes that you've already completed one of the 4 ingestion tutorials, as we will be querying the sample Wikipedia edits data.
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* [Tutorial: Loading a file ](../tutorials/tutorial-batch.html )
* [Tutorial: Loading stream data from Kafka ](../tutorials/tutorial-kafka.html )
* [Tutorial: Loading a file using Hadoop ](../tutorials/tutorial-batch-hadoop.html )
* [Tutorial: Loading stream data using Tranquility ](../tutorials/tutorial-tranquility.html )
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Druid queries are sent over HTTP.
The Druid console includes a view to issue queries to Druid and nicely format the results.
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## Druid SQL queries
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Druid supports a dialect of SQL for querying.
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This query retrieves the 10 Wikipedia pages with the most page edits on 2015-09-12.
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```sql
SELECT page, COUNT(*) AS Edits
FROM wikipedia
WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00'
GROUP BY page ORDER BY Edits DESC
LIMIT 10
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```
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Let's look at the different ways to issue this query.
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### Query SQL via the console
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You can issue the above query from the console.
![Query autocomplete ](../tutorials/img/tutorial-query-01.png "Query autocomplete" )
The console query view provides autocomplete together with inline function documentation.
You can also configure extra context flags to be sent with the query from the more options menu.
![Query options ](../tutorials/img/tutorial-query-02.png "Query options" )
Note that the console will by default wrap your SQL queries in a limit so that you can issue queries like `SELECT * FROM wikipedia` without much hesitation - you can turn off this behaviour.
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### Query SQL via dsql
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For convenience, the Druid package includes a SQL command-line client, located at `bin/dsql` from the Druid package root.
Let's now run `bin/dsql` ; you should see the following prompt:
```bash
Welcome to dsql, the command-line client for Druid SQL.
Type "\h" for help.
dsql>
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```
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To submit the query, paste it to the `dsql` prompt and press enter:
```bash
dsql> SELECT page, COUNT(*) AS Edits FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00' GROUP BY page ORDER BY Edits DESC LIMIT 10;
┌──────────────────────────────────────────────────────────┬───────┐
│ page │ Edits │
├──────────────────────────────────────────────────────────┼───────┤
│ Wikipedia:Vandalismusmeldung │ 33 │
│ User:Cyde/List of candidates for speedy deletion/Subpage │ 28 │
│ Jeremy Corbyn │ 27 │
│ Wikipedia:Administrators' noticeboard/Incidents │ 21 │
│ Flavia Pennetta │ 20 │
│ Total Drama Presents: The Ridonculous Race │ 18 │
│ User talk:Dudeperson176123 │ 18 │
│ Wikipédia:Le Bistro/12 septembre 2015 │ 18 │
│ Wikipedia:In the news/Candidates │ 17 │
│ Wikipedia:Requests for page protection │ 17 │
└──────────────────────────────────────────────────────────┴───────┘
Retrieved 10 rows in 0.06s.
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```
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### Query SQL over HTTP
The SQL queries are submitted as JSON over HTTP.
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The tutorial package includes an example file that contains the SQL query shown above at `quickstart/tutorial/wikipedia-top-pages-sql.json` . Let's submit that query to the Druid Broker:
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```bash
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curl -X 'POST' -H 'Content-Type:application/json' -d @quickstart/tutorial/wikipedia -top-pages-sql.json http://localhost:8888/druid/v2/sql
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```
The following results should be returned:
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```json
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[
{
"page": "Wikipedia:Vandalismusmeldung",
"Edits": 33
},
{
"page": "User:Cyde/List of candidates for speedy deletion/Subpage",
"Edits": 28
},
{
"page": "Jeremy Corbyn",
"Edits": 27
},
{
"page": "Wikipedia:Administrators' noticeboard/Incidents",
"Edits": 21
},
{
"page": "Flavia Pennetta",
"Edits": 20
},
{
"page": "Total Drama Presents: The Ridonculous Race",
"Edits": 18
},
{
"page": "User talk:Dudeperson176123",
"Edits": 18
},
{
"page": "Wikipédia:Le Bistro/12 septembre 2015",
"Edits": 18
},
{
"page": "Wikipedia:In the news/Candidates",
"Edits": 17
},
{
"page": "Wikipedia:Requests for page protection",
"Edits": 17
}
]
```
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### More Druid SQL examples
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Here is a collection of queries to try out:
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#### Query over time
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```sql
SELECT FLOOR(__time to HOUR) AS HourTime, SUM(deleted) AS LinesDeleted
FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00'
GROUP BY 1
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```
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![Query example ](../tutorials/img/tutorial-query-03.png "Query example" )
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#### General group by
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```sql
SELECT channel, page, SUM(added)
FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00'
GROUP BY channel, page
ORDER BY SUM(added) DESC
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```
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![Query example ](../tutorials/img/tutorial-query-04.png "Query example" )
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#### Select raw data
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```sql
SELECT user, page
FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 02:00:00' AND TIMESTAMP '2015-09-12 03:00:00'
LIMIT 5
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```
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![Query example ](../tutorials/img/tutorial-query-05.png "Query example" )
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### Explain query plan
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Druid SQL has the ability to explain the query plan for a given query.
In the console this functionality is accessible from the `...` button.
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![Explain query ](../tutorials/img/tutorial-query-06.png "Explain query" )
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If you are querying in other ways you can get the plan by prepending `EXPLAIN PLAN FOR ` to a Druid SQL query.
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Using a query from an example above:
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`EXPLAIN PLAN FOR SELECT page, COUNT(*) AS Edits FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00' GROUP BY page ORDER BY Edits DESC LIMIT 10;`
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```bash
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dsql> EXPLAIN PLAN FOR SELECT page, COUNT(*) AS Edits FROM wikipedia WHERE "__time" BETWEEN TIMESTAMP '2015-09-12 00:00:00' AND TIMESTAMP '2015-09-13 00:00:00' GROUP BY page ORDER BY Edits DESC LIMIT 10;
┌─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ PLAN │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ DruidQueryRel(query=[{"queryType":"topN","dataSource":{"type":"table","name":"wikipedia"},"virtualColumns":[],"dimension":{"type":"default","dimension":"page","outputName":"d0","outputType":"STRING"},"metric":{"type":"numeric","metric":"a0"},"threshold":10,"intervals":{"type":"intervals","intervals":["2015-09-12T00:00:00.000Z/2015-09-13T00:00:00.001Z"]},"filter":null,"granularity":{"type":"all"},"aggregations":[{"type":"count","name":"a0"}],"postAggregations":[],"context":{},"descending":false}], signature=[{d0:STRING, a0:LONG}]) │
└─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
Retrieved 1 row in 0.03s.
```
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## Native JSON queries
Druid's native query format is expressed in JSON.
### Native query via the console
You can issue native Druid queries from the console's Query view.
Here is a query that retrieves the 10 Wikipedia pages with the most page edits on 2015-09-12.
```json
{
"queryType" : "topN",
"dataSource" : "wikipedia",
"intervals" : ["2015-09-12/2015-09-13"],
"granularity" : "all",
"dimension" : "page",
"metric" : "count",
"threshold" : 10,
"aggregations" : [
{
"type" : "count",
"name" : "count"
}
]
}
```
Simply paste it into the console to switch the editor into JSON mode.
![Native query ](../tutorials/img/tutorial-query-07.png "Native query" )
### Native queries over HTTP
We have included a sample native TopN query under `quickstart/tutorial/wikipedia-top-pages.json` :
Let's submit this query to Druid:
```bash
curl -X 'POST' -H 'Content-Type:application/json' -d @quickstart/tutorial/wikipedia -top-pages.json http://localhost:8888/druid/v2?pretty
```
You should see the following query results:
```json
[ {
"timestamp" : "2015-09-12T00:46:58.771Z",
"result" : [ {
"count" : 33,
"page" : "Wikipedia:Vandalismusmeldung"
}, {
"count" : 28,
"page" : "User:Cyde/List of candidates for speedy deletion/Subpage"
}, {
"count" : 27,
"page" : "Jeremy Corbyn"
}, {
"count" : 21,
"page" : "Wikipedia:Administrators' noticeboard/Incidents"
}, {
"count" : 20,
"page" : "Flavia Pennetta"
}, {
"count" : 18,
"page" : "Total Drama Presents: The Ridonculous Race"
}, {
"count" : 18,
"page" : "User talk:Dudeperson176123"
}, {
"count" : 18,
"page" : "Wikipédia:Le Bistro/12 septembre 2015"
}, {
"count" : 17,
"page" : "Wikipedia:In the news/Candidates"
}, {
"count" : 17,
"page" : "Wikipedia:Requests for page protection"
} ]
} ]
```
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## Further reading
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The [Queries documentation ](../querying/querying.html ) has more information on Druid's native JSON queries.
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The [Druid SQL documentation ](../querying/sql.html ) has more information on using Druid SQL queries.