Apache Flink 1.8.0 Released

Aljoscha Krettek announces the general availablity of Apache Flink version 1.8.0:

SQL pattern detection with user-defined functions and aggregations: The support of the MATCH_RECOGNIZE clause has been extended by multiple features. The addition of user-defined functions allows for custom logic during pattern detection (FLINK-10597), while adding aggregations allows for more complex CEP definitions, such as the following (FLINK-7599).

There are several really nice changes. I pointed out this one to get people to vote up Itzik Ben-Gan’s feedback item to get row pattern recognition in SQL Server.

Related Posts

Pivoting Spark DataFrames

Unmesha Sreeveni shows how we can pivot a DataFrame in Apache Spark using one line of code: A pivot can be thought of as translating rows into columns while applying one or more aggregations. Lets see how we can achieve the same using the above dataframe. We will pivot the data based on “Item” column. […]

Read More

Troubleshooting Spark Performance

Bikas Saha and Mridul Murlidharan explain some of the basics of performance tuning with Apache Spark: Our objective was to build a system that would provide an intuitive insight into Spark jobs that not just provides visibility but also codifies the best practices and deep experience we have gained after years of debugging and optimizing […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

April 2019
MTWTFSS
« Mar  
1234567
891011121314
15161718192021
22232425262728
2930