Dimitris Tsirogiannis d802f321b2 IMPALA-3724: Support Kudu non-covering range partitions
This commit adds support for non-covering range partitions in Kudu
tables. The SPLIT ROWS clause is now deprecated and no longer supported.
The following new syntax provides more flexibility in creating range
partitions and it supports bounded and unbounded ranges as well as single value
partitions; multi-column range partitions are supported as well.

The new syntax is:
DISTRIBUTE BY RANGE (col_list)
(
 PARTITION lower_1 <[=] VALUES <[=] upper_1,
 PARTITION lower_2 <[=] VALUES <[=] upper_2,
             ....
 PARTITION lower_n <[=] VALUES <[=] upper_n,
 PARTITION VALUE = val_1,
             ....
 PARTITION VALUE = val_n
)

Multi-column range partitions are specified as follows:
DISTRIBUTE BY RANGE (col1, col2,..., coln)
(
 PARTITION VALUE = (col1_val, col2_val, ..., coln_val),
                     ....
 PARTITION VALUE = (col1_val, col2_val, ..., coln_val)
)

Change-Id: I6799c01a37003f0f4c068d911a13e3f060110a06
Reviewed-on: http://gerrit.cloudera.org:8080/4856
Reviewed-by: Dimitris Tsirogiannis <dtsirogiannis@cloudera.com>
Tested-by: Internal Jenkins
2016-11-04 22:02:22 +00:00

Welcome to Impala

Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.

Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:

  • Best of breed performance and scalability.
  • Support for data stored in HDFS, Apache HBase and Amazon S3.
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
  • Apache-licensed, 100% open source.

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Supported Platforms

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