druid/docs/querying/query-from-deep-storage.md

id	title
query-deep-storage	Query from deep storage

Druid can query segments that are only stored in deep storage. Running a query from deep storage is slower than running queries from segments that are loaded on Historical processes, but it's a great tool for data that you either access infrequently or where the low latency results that typical Druid queries provide is not necessary. Queries from deep storage can increase the surface area of data available to query without requiring you to scale your Historical processes to accommodate more segments.

Prerequisites

Query from deep storage requires the Multi-stage query (MSQ) task engine. Load the extension for it if you don't already have it enabled before you begin. See enable MSQ for more information.

Keep segments in deep storage only

Any data you ingest into Druid is already stored in deep storage, so you don't need to perform any additional configuration from that perspective. However, to take advantage of the cost savings that querying from deep storage provides, make sure not all your segments get loaded onto Historical processes.

To do this, configure load rules to manage the which segments are only in deep storage and which get loaded onto Historical processes.

The easiest way to do this is to explicitly configure the segments that don't get loaded onto Historical processes. Set tieredReplicants to an empty array and useDefaultTierForNull to false. For example, if you configure the following rule for a datasource:

[
  {
    "interval": "2016-06-27T00:00:00.000Z/2016-06-27T02:59:00.000Z",
    "tieredReplicants": {},
    "useDefaultTierForNull": false,
    "type": "loadByInterval"
  }
]

Any segment that falls within the specified interval exists only in deep storage. For segments that aren't in this interval, they'll use the default cluster load rules or any other load rules you configure.

To configure the load rules through the Druid console, go to Datasources > ... in the Actions column > Edit retention rules. Then, paste the provided JSON into the JSON tab:

You can verify that a segment is not loaded on any Historical tiers by querying the Druid metadata table:

SELECT "segment_id", "replication_factor" FROM sys."segments" WHERE "replication_factor" = 0 AND "datasource" = YOUR_DATASOURCE

Segments with a replication_factor of 0 are not assigned to any Historical tiers. Queries against these segments are run directly against the segment in deep storage.

You can also confirm this through the Druid console. On the Segments page, see the Replication factor column.

Keep the following in mind when working with load rules to control what exists only in deep storage:

• At least one of the segments in a datasource must be loaded onto a Historical process so that Druid can plan the query. The segment on the Historical process can be any segment from the datasource. It does not need to be a specific segment. One way to verify that a datasource has at least one segment on a Historical process is if it's visible in the Druid console.
• The actual number of replicas may differ from the replication factor temporarily as Druid processes your load rules.

Run a query from deep storage

Submit a query

You can query data from deep storage by submitting a query to the API using POST /sql/statements or the Druid console. Druid uses the multi-stage query (MSQ) task engine to perform the query.

To run a query from deep storage, send your query to the Router using the POST method:

POST https://ROUTER:8888/druid/v2/sql/statements

Submitting a query from deep storage uses the same syntax as any other Druid SQL query where the query is contained in the "query" field in the JSON object within the request payload. For example:

{"query" : "SELECT COUNT(*) FROM data_source WHERE foo = 'bar'"}

Generally, the request body fields are the same between the sql and sql/statements endpoints.

Apart from the context parameters mentioned here there are additional context parameters for sql/statements:

• executionMode (required) determines how query results are fetched. Set this to ASYNC.
• selectDestination (optional) set to durableStorage instructs Druid to write the results of SELECT queries to durable storage. For result sets with more than 3000 rows, it is highly recommended to use durableStorage. Note that this requires you to have durable storage for MSQ enabled.

The following sample query includes the two additional context parameters that querying from deep storage supports:

curl --location 'http://localhost:8888/druid/v2/sql/statements' \
--header 'Content-Type: application/json' \
--data '{
    "query":"SELECT * FROM \"YOUR_DATASOURCE\" where \"__time\" >TIMESTAMP'\''2017-09-01'\'' and \"__time\" <= TIMESTAMP'\''2017-09-02'\''",
    "context":{
        "executionMode":"ASYNC",
        "selectDestination": "durableStorage"

    }  
}'

The response for submitting a query includes the query ID along with basic information, such as when you submitted the query and the schema of the results:

{
  "queryId": "query-ALPHANUMBERIC-STRING",
  "state": "ACCEPTED",
  "createdAt": CREATION_TIMESTAMP,
"schema": [
  {
    "name": COLUMN_NAME,
    "type": COLUMN_TYPE,
    "nativeType": COLUMN_TYPE
  },
  ...
],
"durationMs": DURATION_IN_MS,
}

Get query status

You can check the status of a query with the following API call:

GET https://ROUTER:8888/druid/v2/sql/statements/QUERYID

The query returns the status of the query, such as ACCEPTED or RUNNING. Before you attempt to get results, make sure the state is SUCCESS.

When you check the status on a successful query, it includes useful information about your query results including a sample record and information about how the results are organized by pages. The information for each page includes the following:

• numRows: the number of rows in that page of results
• sizeInBytes: the size of the page
• id: the indexed page number that you can use to reference a specific page when you get query results

You can use page as a parameter to refine the results you retrieve.

The following snippet shows the structure of the result object:

{
  ...
  "result": {
    "numTotalRows": INTEGER,
    "totalSizeInBytes": INTEGER,
    "dataSource": "__query_select",
    "sampleRecords": [
      [
        RECORD_1,
        RECORD_2,
        ...
      ]
    ],
    "pages": [
      {
        "numRows": INTEGER,
        "sizeInBytes": INTEGER,
        "id": INTEGER_PAGE_NUMBER
      }
      ...
    ]
}
}

Get query results

Only the user who submitted a query can retrieve the results for the query.

Use the following endpoint to retrieve results:

GET https://ROUTER:8888/druid/v2/sql/statements/QUERYID/results?page=PAGENUMBER&resultFormat=FORMAT

Results are returned in JSON format.

You can use the optional page parameter to refine your results, and resultFormat parameter to define the format in which the results will be presented.

• You can retrieve the page information for your results by fetching the status of the completed query.
• For resultFormat the following options are supported arrayLines,objectLines,array,object, and csv. Default value is object. More documentation present here.

When you try to get results for a query from deep storage, you may receive an error that states the query is still running. Wait until the query completes before you try again.

Further reading

• Query from deep storage tutorial
• Query from deep storage API reference