flink-python/docs/reference/pyflink.table/statement_set.rst
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A :class:~StatementSet accepts pipelines defined by DML statements or :class:~Table objects.
The planner can optimize all added statements together and then submit them as one job.
The added statements will be cleared when calling the :func:~StatementSet.execute method.
.. currentmodule:: pyflink.table
.. autosummary:: :toctree: api/
StatementSet.add_insert_sql
StatementSet.attach_as_datastream
StatementSet.add_insert
StatementSet.compile_plan
StatementSet.explain
StatementSet.print_explain
StatementSet.execute
A :class:~pyflink.table.TableResult is the representation of the statement execution result.
.. currentmodule:: pyflink.table
.. autosummary:: :toctree: api/
TableResult.get_job_client
TableResult.wait
TableResult.get_table_schema
TableResult.get_resolved_schema
TableResult.get_result_kind
TableResult.collect
TableResult.print
ResultKind defines the types of the result.
:data:SUCCESS:
The statement (e.g. DDL, USE) executes successfully, and the result only contains a simple "OK".
:data:SUCCESS_WITH_CONTENT:
The statement (e.g. DML, DQL, SHOW) executes successfully, and the result contains important content.
.. currentmodule:: pyflink.table
.. autosummary:: :toctree: api/
ResultKind.SUCCESS
ResultKind.SUCCESS_WITH_CONTENT