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5.5 Release Notes

MemSQL 5.5 introduces MemSQL Pipelines, a native mechanism for scalable real-time data ingestion from a wide variety of streaming and static data sources. In addition, this release delivers 3x-5x faster query performance driven by a novel hash-table design, use of Bloom filters, native support for semi-joins and anti-joins, and improved concurrency management for distributed joins. MemSQL 5.5 also enhances ease of use with new functionality like Query Profiling, Workload Management, a more scalable new MemSQL Ops version, and faster recovery for row stores.

MemSQL Pipelines

MemSQL Pipelines is a native database feature that supports real-time data ingestion from Kafka streams with exactly-once semantics. Pipelines provides a robust, scalable, and highly performant way of extracting, transforming, and loading external data for distributed workloads. Learn more about Pipelines here.

Faster Hash Joins

MemSQL 5.5 delivers a new hash table design which combined with Bloom filters delivers up to 3x-5x performance improvements for hash joins.

Distributed Joins with High Concurrency

More efficient utilization of threads and connections delivers increased performance for distributed joins and enables higher levels of concurrent queries.

Support for Semi-Joins and Anti-Joins

MemSQL now delivers native support for executing certain correlated subqueries as semi-joins and anti-joins.

Query Profiler

The query profiling feature enables customers to run a query with the PROFILE option in order to examine the execution details for each step of the query in terms of number of rows processed and the actual processing time. The query profiler can be helpful when identifying performance issues down to particular steps in query execution. Learn more about PROFILE here.

Workload Manager

System administrators have the challenging task of coordinating query workloads from their large user base. The workload manager prevents system overload by limiting the resource usage of queries executing at any given time. The workload manager queues up queries that can not be run immediately and runs them later when capacity becomes available. Learn more about Workload Management here.

MemSQL Ops

MemSQL Ops provides administration of MemSQL clusters. MemSQL 5.5 Ops now offers support for clusters with more than 100 nodes and beyond. Additionally MemSQL Ops provides UX for the newly introduced MemSQL Pipelines. For more information, see MemSQL Ops Releases.

Faster Recovery for Row Stores

In the event of a node failure, MemSQL now offers faster recovery for row stores with secondary indexes.

Columnstore Reference Tables

Creating reference tables obviates the need to reshuffle data and creates co-located joins. MemSQL 5.5 adds support for reference tables in the column store.

Enhanced Load Data Functionality

It is now possible to debug LOAD DATA processes in MemSQL, leading to increased developer productivity. The LOAD DATA... IGNORE command stores errors it sees during execution. Errors can be displayed using a new SHOW LOAD ERRORS command, and can be used subsequently for corrective actions. Errors are stored in an in-memory buffer that is deleted when a subsequent query is run.

Additional New or Updated Functionality and Fixed Issues

New Functionality

memsql> SELECT CHAR(77,101,109,83,81,'76');
| CHAR(77,101,109,83,81,'76') |
| MemSQL                      |
1 row in set (0.07 sec)

Updated or Changed Functionality

Fixed Issues

Maintenance Release Changelog

The changelog below contains MemSQL Database improvements and bug fixes introduced in maintenance or revision releases. For a similar list for MemSQL Ops, see MemSQL Ops Releases.

2017-04-10 Version 5.5.13 (LATEST)

2017-01-05 Version 5.5.12

2016-12-12 Version 5.5.11

2016-12-05 Version 5.5.10

2016-11-14 Version 5.5.9

2016-10-31 Version 5.5.7

2016-10-19 Version 5.5.6

2016-10-03 Version 5.5.5

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