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We are recruiting Big data platform development engineers.If you want more information about the position, please add WeChat ID [ysqwhiletrue] or email your resume to firstname.lastname@example.org.
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Chunjun is a data synchronization tool based on Flink. Chunjun can collect static data, such as MySQL, HDFS, etc, as well as real-time changing data, such as MySQL binlog, Kafka, etc. At the same time, Chunjun is also a computing framework that supports all the syntax and features of native FlinkSql , And provide a large number of cases. Chunjun currently includes the following features:
Most plugins support concurrent reading and writing of data, which can greatly improve the speed of reading and writing;
Some plug-ins support the function of failure recovery, which can restore tasks from the failed location and save running time; Failure Recovery
The source plugin for relational databases supports interval polling. It can continuously collect changing data; Interval Polling
Some databases support opening Kerberos security authentication; Kerberos
Limit the reading speed of source plugins and reduce the impact on business databases;
Save the dirty data when writing data;
Limit the maximum number of dirty data;
Multiple running modes: Local,Standalone,Yarn Session,Yarn Per;
Synchronization tasks support transformer operations that execute flinksql syntax;
sql task support is shared with flinkSql's own connectors;
The following databases are currently supported:
|TiDB||reference mysql||reference mysql|
Please click Quick Start
Please click General Configuration
Please click Statistics Metric
Please click Iceberg
Please click Kerberos
Please click Questions
Please click Contribution
Chunjun is under the Apache 2.0 license. See the LICENSE file for details.
：Code submit frequency
：React/respond to issue & PR etc.
：Well-balanced team members and collaboration
：Recent popularity of project
：Star counts, download counts etc.