ea6173440c
THRIFT-5237 Implement MAX_MESSAGE_SIZE and consolidate limits into a TConfiguration class. The MAX_MESSAGE_SIZE default to 100MB. This patch adds backend flag 'thrift_rpc_max_message_size' to override the default MAX_MESSAGE_SIZE by calling function AssignDefaultTConfiguration. We set higher default, 1GB, to minimize interruption on existing Impala workload. We should consider lowering this default once we ensure that all thrift rpc response can be made in batches, such as explained in IMPALA-11402. Thrift tuning for communication with HMS is fixed through HIVE-26633. Appropriate Hive version bump is required. Testing: - Add EXPECT_NO_THROW to verify that 'checkReadBytesAvailable' to does not throw exception given default FLAGS_thrift_rpc_max_message_size. - Add MaxMessageSizeFit and MaxMessageSizeExceeded tests in thrift-server-test. - Run and pass thrift-server-test Change-Id: I137683d43c72a34105fd7b32fea3a93532601ae3 Reviewed-on: http://gerrit.cloudera.org:8080/19162 Reviewed-by: Wenzhe Zhou <wzhou@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
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.
Supported OS Distributions
Impala runs on Linux systems only. The supported distros are
- Ubuntu 16.04/18.04
- CentOS/RHEL 7/8
Other systems, e.g. SLES12, may also be supported but are not tested by the community.
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.