Apache Druid supports SQL-based ingestion using the bundled
This extension adds a multi-stage query task engine for SQL that allows running SQL
INSERT and REPLACE statements as batch tasks. As an experimental feature,
the task engine also supports running
SELECT queries as batch tasks.
SELECT capabilities are available in the multi-stage query (MSQ) task engine, with certain exceptions listed on the Known
issues page. This allows great flexibility to apply transformations, filters, JOINs,
aggregations, and so on as part of
INSERT ... SELECT and
REPLACE ... SELECT statements. This also allows in-database
transformation: creating new tables based on queries of other tables.
Controller: An indexing service task of type
query_controllerthat manages the execution of a query. There is one controller task per query.
Worker: Indexing service tasks of type
query_workerthat execute a query. There can be multiple worker tasks per query. Internally, the tasks process items in parallel using their processing pools (up to
druid.processing.numThreadsof execution parallelism within a worker task).
Stage: A stage of query execution that is parallelized across worker tasks. Workers exchange data with each other between stages.
Partition: A slice of data output by worker tasks. In INSERT or REPLACE queries, the partitions of the final stage become Druid segments.
Shuffle: Workers exchange data between themselves on a per-partition basis in a process called shuffling. During a shuffle, each output partition is sorted by a clustering key.
Load the extension
To add the extension to an existing cluster, add
druid.extensions.loadlist in your
For more information about how to load an extension, see Loading extensions.
To use EXTERN, you need READ permission on the resource named "EXTERNAL" of the resource type
"EXTERNAL". If you encounter a 403 error when trying to use
EXTERN, verify that you have the correct permissions.
The same is true of any of the input-source specific table function such as