docs/multi-stage-query/known-issues.md
Fault tolerance is partially implemented. Workers get relaunched when they are killed unexpectedly. The controller does not get relaunched if it is killed unexpectedly.
Worker task stage outputs are stored in the working directory given by druid.indexer.task.baseDir. Stages that
generate a large amount of output data may exhaust all available disk space. In this case, the query fails with
an UnknownError with a message including "No space left on device".
SELECT StatementGROUPING SETS are not implemented. Queries using these features return a
QueryNotSupported error.INSERT and REPLACE StatementsThe INSERT and REPLACE statements with column lists, like INSERT INTO tbl (a, b, c) SELECT ..., is not implemented.
INSERT ... SELECT and REPLACE ... SELECT insert columns from the SELECT statement based on column name. This
differs from SQL standard behavior, where columns are inserted based on position.
INSERT and REPLACE do not support all options available in ingestion specs,
including the createBitmapIndex and multiValueHandling dimension
properties, and the indexSpec tuningConfig property.
EXTERN FunctionThe schemaless dimensions
feature is not available. All columns and their types must be specified explicitly using the signature parameter
of the EXTERN function.
EXTERN with input sources that match large numbers of files may exhaust available memory on the controller task.
EXTERN refers to external files. Use FROM to access druid input sources.
WINDOW FunctionleafOperators in MSQ engine, window functions have an extra scan stage after the window stage for cases
where native engine has a non-empty leafOperator.The following known issues and limitations affect automatic compaction with the MSQ task engine:
metricSpec field is only supported for certain aggregators. For more information, see Supported aggregators.rollup to true if and only if metricSpec is not empty or null.maxTotalRows config is not supported in DynamicPartitionsSpec. Use maxRowsPerSegment instead.__time as the first column.