This document discusses the integration of Pivotal Greenplum with Hadoop through PXF, outlining its architecture and various use cases such as data analysis and storage. It includes forward-looking statements and disclaimers about uncertainties affecting Pivotal's future performance, emphasizing the importance of current offerings for purchasing decisions. Additionally, it describes the PXF extension framework, including external table creation and filter push down for performance improvements.

1. © Copyright 2017 Pivotal Software, Inc. All rights Reserved.
Pivotal Greenplum
Hadoop Integration with PXF
Kong Yew, Chan
kochan@pivotal.io
Last update: Nov 2018

2. Disclaimer
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3. Agenda
● Use Cases
● PXF Architecture
● Q&A

4. Greenplum-PXF use cases
● Combined Data Analysis
● Hadoop as the data lake / landing zone
● Hadoop as the data archive store (cold data store)
● Import / Export data for external systems (RDBMS)

5. PXF Extension Framework Overview
Apache Tomcat
PXF WebappREST API Java API
External Tables
HTTP, port: 5888
Java API
Java API
Pivotal Greenplum
In progress:
PXF Service*
PXF Service is installed on each GPDB segment*

6. Design - Define External Tables (SQL)
CREATE EXTERNAL TABLE ext_table <attr list, ...>
LOCATION('pxf://path/to/data?PROFILE=<profile>&
<Other custom user options>=<value>')
FORMAT'custom'(formatter='pxfwritable_import');
CREATE EXTERNAL TABLE ext_table <attr list, ...>
LOCATION('pxf://path/to/data?PROFILE=avro
FORMAT'custom'(formatter='pxfwritable_import');
* When defining a table, PXF doesn’t check if the file exists, accessible or name, port are correct, etc.
It is just a DEFINITION.

7. PXF Profiles - Examples
CREATE EXTERNAL TABLE pxf_hdfs_textsimple
(location text, month text, num_orders int, total_sales float8)
LOCATION
('pxf://data/pxf_examples/pxf_hdfs_simple.txt?PROFILE=HdfsTextSimple')
FORMAT 'TEXT' (delimiter=E',');
CREATE [READABLE|WRITABLE] EXTERNAL TABLE table_name
( column_name data_type [, ...] | LIKE other_table )
LOCATION ('pxf://[alias:]/path?Profile=')
FORMAT 'CUSTOM' (Formatter='pxfwritable_import');
CREATE EXTERNAL TABLE pxf_hdfs_avro(id bigint, username text, followers text, fmap text,
relationship text, address text)
LOCATION
('pxf://data/pxf_examples/pxf_hdfs_avro.avro?PROFILE=Avro&COLLECTION_DELIM=,&MAPKEY_DELIM=:&
RECORDKEY_DELIM=:')
FORMAT 'CUSTOM' (FORMATTER='pxfwritable_import');

8. PXF Plugins, Profiles to be ported from Hawq
• Hawq Available Profiles
• HDFS: HDFSTextSimple(R/W), HDFSTextMulti(RO), Avro(RO)
• Hive: Hive, HiveRC, HiveText, HiveORC
• HBase: HBase
• JDBC profile ...

9. PXF Filter Push Down
• Goal: Performance , Efficiency, less data over wire
• Criteria: SQL “Where” Clause
• Single Expression or a group of “AND/OR” Expressions
• Supported data types and operators
• Types: text, int, smallint, bigint.
• Operators: EQ, NE, LT, GT, LE, GE & AND

10. © Copyright 2017 Pivotal Software, Inc. All rights Reserved.
Reference:
Greenplum
PXF documentation
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