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This commit adds support for Kudu-specific column options in CREATE TABLE statements. The syntax is: CREATE TABLE tbl_name ([col_name type [PRIMARY KEY] [option [...]]] [, ....]) where option is: | NULL | NOT NULL | ENCODING encoding_val | COMPRESSION compression_algorithm | DEFAULT expr | BLOCK_SIZE num The output of the SHOW CREATE TABLE statement was altered to include all the specified column options for Kudu tables. Change-Id: I727b9ae1b7b2387db752b58081398dd3f3449c02 Reviewed-on: http://gerrit.cloudera.org:8080/5026 Reviewed-by: Dimitris Tsirogiannis <dtsirogiannis@cloudera.com> Tested-by: Internal Jenkins
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.
More about Impala
To learn more about Impala as a business user, or to try Impala live or in a VM, please visit the Impala homepage.
If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.
Supported Platforms
Impala only supports Linux at the moment.
Build Instructions
./buildall.sh -notests
Export Control Notice
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.