

- #CREATE FOREIGN DATA WRAPPER AWS POSTGRESQL FULL#
- #CREATE FOREIGN DATA WRAPPER AWS POSTGRESQL LICENSE#

Parquet_fdw also supports parallel query execution (not to confuse with multi-threaded decoding feature of Apache Arrow). parquet_fdw.enable_multifile_merge - enable Multifile Merge reader (default true).parquet_fdw.enable_multifile - enable Multifile reader (default true).parquet_fdw.use_threads - global switch that allow user to enable or disable threads (default true).max_open_files - the limit for the number of Parquet files open simultaneously.files_func_arg - argument for the function, specified by files_func.
#CREATE FOREIGN DATA WRAPPER AWS POSTGRESQL FULL#
#CREATE FOREIGN DATA WRAPPER AWS POSTGRESQL LICENSE#
The foreigndatawrapper and foreignserver object types are available since Ansible version 2 Before setting up the foreign data wrapper connection, you should test the connection to the remote server from the server used for the foreign data wrapper: psql -h remote-server MIT License This page is an incomplete list of the Wrappers available. filename - space separated list of paths to Parquet files to read Search: Postgres List Foreign Data Wrappers.Same as Multifile Merge, but keeps the number of simultaneously open files limited used when the number of specified Parquet files exceeds max_open_files Reader which merges presorted Parquet files so that the produced result is also ordered used when sorted option is specified and the query plan implies ordering (e.g. Reader which process Parquet files one by one in sequential manner Depending on the number of files and table options parquet_fdw may use one of the following execution strategies: Strategy It is also possible to specify a user defined function, which would return a list of file paths. Currently parquet_fdw supports the following column types: Arrow typeĬurrently parquet_fdw doesn't support structs and nested lists.įoreign table may be created for a single Parquet file and for a set of files.
