Apache Impala

Clone this repo:
  1. 9f1b527 IMPALA-10531: Fix TmpFileMgrTest.TestCompressBufferManagementEncryptedRemoteUpload failed in exhaustive release build by Yida Wu · 5 days ago master
  2. d038e39 IMPALA-10505: Avoid creating misleading audit logs by Fang-Yu Rao · 14 days ago
  3. bead2ed IMPALA-10533: Fix TestScratchDir.test_scratch_dirs_mix_local_and_remote_dir_spill_local_only seems flaky by Yida Wu · 5 days ago
  4. 285cea9 IMPALA-10526: Fix BufferPoolTest.Multi8RandomSpillToRemoteMix failed in sanitizer builds by Yida Wu · 6 days ago
  5. f13170e IMPALA-10527: Fix DiskIoMgrTest.WriteToRemotePartialFileSuccess failed in tsan build by Yida Wu · 5 days ago

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, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!
  • Wide analytic SQL support, including window functions and subqueries.
  • On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query.
  • Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC.
  • Support for industry-standard security protocols, including Kerberos, LDAP and TLS.
  • Apache-licensed, 100% open source.

More about Impala

The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.

To learn more about Impala as a user or administrator, or to try Impala, please visit the Impala homepage. Detailed documentation for administrators and users is available at Apache Impala documentation.

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. Impala supports x86_64 and has experimental support for arm64 (as of Impala 4.0). Impala Requirements contains more detailed information on the minimum CPU requirements.

Export Control Notice

This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.

Build Instructions

See Impala's developer documentation to get started.

Detailed build notes has some detailed information on the project layout and build.