This topic describes the new and updated features of Realtime Compute for Apache Flink in 2020. This topic also provides relevant links for your reference.

Changes in September 2020

Release date Feature Category Description References
2020-09-03 Flink SQL Performance optimization These topics describe eight optimization methods of SQL Tuning Advisor.

Changes in August 2020

Release date Feature Category Description References
2020-08-19 Flink DataStream Example This topic describes how to run a Flink DataStream job to read log data from Log Service and data from DataHub and write the data to ApsaraDB for HBase.

Changes in May 2020

Release date Feature Category Description References
2020-05-21 Query statement New feature This topic describes how to use the GROUPING SET clause to perform multi-dimensional aggregation analysis. GROUPING SETS clause
2020-05-08 Dimension table New feature This topic describes how to create an AnalyticDB for MySQL V3.0 dimension table in Realtime Compute for Apache Flink. Create an AnalyticDB for MySQL V3.0 dimension table

Changes in April 2020

Release date Feature Category Description References
2020-04-28 Source table and result table New feature This topic describes how to create Oracle database source and result tables in Realtime Compute for Apache Flink.
2020-04-24 Result table New feature This topic describes how to create an AnalyticDB for PostgreSQL result table in Realtime Compute for Apache Flink. Create an AnalyticDB for PostgreSQL result table
2020-04-24 Dimension table New feature This topic describes how to create a Phoenix5 dimension table in Realtime Compute for Apache Flink. Create a Phoenix5 dimension table
2020-04-24 Source table, result table, and dimension table New feature This topic describes how to create a Hologres source table, a Hologres result table, and a Hologres dimension table in Realtime Compute for Apache Flink.

Changes in March 2020

Release date Feature Category Description References
2020-03-21 Flink DataStream New feature This topic describes how Realtime Compute for Apache Flink reads data from DataHub and Message Queue for Apache Kafka.
2020-03-06 Source table New feature This topic describes how to create an incremental MaxCompute source table in Realtime Compute for Apache Flink. Create an incremental MaxCompute source table
2020-03-05 Job suspension New feature This topic describes how to suspend a job in Realtime Compute for Apache Flink. Suspend a job

Changes in February 2020

Release date Feature Category Description References
2020-02-26 Result table New feature These topics describe how to create an InfluxDB result table and a Phoenix5 result table in Realtime Compute for Apache Flink.

Updates in January 2020

Release date Feature Category Description References
2020-01-16 Flink SQL Function This topic describes how to convert numbers between different numeral base systems by using the built-in function CONV of Realtime Compute for Apache Flink. CONV