Shulou(Shulou.com)06/01 Report--

Apache Hudi and Impala complete the integration of the example analysis, I believe that many inexperienced people do not know what to do, so this article summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

Hudi: Apache Hudi is an open source incremental data lake processing framework that supports insert, update, and delete, which can help build an enterprise data lake.

Impala: Apache Impala is an open source massively parallel processing SQL query engine that can query PB-level big data stored in Hadoop's HDFS and HBase.

Impala as a query engine can be built on top of the Hudi table, and the Impala community commit that supports queries on the Hudi table has been submitted to the master trunk branch, which indicates that this feature can be officially used in the next version of Impala, and that users can use Impala to query the data in the Hudi table, knowing that Hudi is also the first data lake framework supported by Impala. So far, the query engines supported by Hudi are Hive/SparkSQL/Presto/Impala, which has covered more and more SQL query engines, and the ecology around Hudi is becoming more and more perfect and developing more and more rapidly.

If you are already using Impala and Hudi, try using Impala to query Hudi table data.

After reading the above, have you mastered the method of example analysis for the integration of Apache Hudi and Impala? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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