PXF supports filter pushdown. When filter pushdown is activated, the constraints from the WHERE clause of a SELECT query can be extracted and passed to the external data source for filtering. This process can improve query performance, and can also reduce the amount of data that is transferred to Greenplum Database.

You activate or deactivate filter pushdown for all external table protocols, including pxf, by setting the gp_external_enable_filter_pushdown server configuration parameter. The default value of this configuration parameter is on; set it to off to deactivate filter pushdown. For example:

SHOW gp_external_enable_filter_pushdown;
SET gp_external_enable_filter_pushdown TO 'on';

Note: Some external data sources do not support filter pushdown. Also, filter pushdown may not be supported with certain data types or operators. If a query accesses a data source that does not support filter push-down for the query constraints, the query is instead run without filter pushdown (the data is filtered after it is transferred to Greenplum Database).

PXF filter pushdown can be used with these data types (connector- and profile-specific):

  • INT2, INT4, INT8
  • NUMERIC (not available with the S3 connector when using S3 Select, nor with the hive profile when accessing STORED AS Parquet)
  • BOOL
  • DATE, TIMESTAMP (available only with the JDBC connector, the S3 connector when using S3 Select, the hive:rc and hive:orc profiles, and the hive profile when accessing STORED AS RCFile or ORC)

PXF accesses data sources using profiles exposed by different connectors, and filter pushdown support is determined by the specific connector implementation. The following PXF profiles support some aspects of filter pushdown as well as different arithmetic and logical operations:

Profile <,   >,
<=,   >=,
=,  <>
jdbc Y Y4 Y N Y Y Y
*:parquet Y1 N Y1 Y1 Y1 Y1 Y1
*:orc (all except hive:orc) Y1,3 N Y1,3 Y1,3 Y1,3 Y1,3 Y1,3
s3:parquet and s3:text with S3-Select Y N Y Y Y Y Y
hbase Y N Y N Y Y N
hive:text Y2 N N N Y2 Y2 N
hive:rc, hive (accessing stored as RCFile) Y2 N Y Y Y, Y2 Y, Y2 Y
hive:orc, hive (accessing stored as ORC) Y, Y2 N Y Y Y, Y2 Y, Y2 Y
hive (accessing stored as Parquet) Y, Y2 N N Y Y, Y2 Y, Y2 Y
hive:orc and VECTORIZE=true Y2 N N N Y2 Y2 N

1 PXF applies the predicate, rather than the remote system, reducing CPU usage and the memory footprint.
2 PXF supports partition pruning based on partition keys.
3 PXF filtering is based on file-level, stripe-level, and row-level ORC statistics.
4 The PXF jdbc profile supports the LIKE operator only for TEXT fields.

PXF does not support filter pushdown for any profile not mentioned in the table above, including: *:avro, *:AvroSequenceFile, *:SequenceFile, *:json, *:text, *:csv, *:fixedwidth, and *:text:multi.

To summarize, all of the following criteria must be met for filter pushdown to occur:

  • You activate external table filter pushdown by setting the gp_external_enable_filter_pushdown server configuration parameter to 'on'.
  • The Greenplum Database protocol that you use to access external data source must support filter pushdown. The pxf external table protocol supports pushdown.
  • The external data source that you are accessing must support pushdown. For example, HBase and Hive support pushdown.
  • For queries on external tables that you create with the pxf protocol, the underlying PXF connector must also support filter pushdown. For example, the PXF Hive, HBase, and JDBC connectors support pushdown, as do the PXF connectors that support reading ORC and Parquet data.

    Refer to Hive Partition Pruning for more information about Hive support for this feature.

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