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The following commit(s) were added to refs/heads/master by this push: new 3054fb3f138 HIVE-27934: Fix incorrect description about the execution framework in README.md (#4917)(Butao Zhang, reviewed by Stamatis Zampetakis, Attila Turoczy) 3054fb3f138 is described below commit 3054fb3f138b19986586f0840c01444647bceb84 Author: Butao Zhang <butaozha...@163.com> AuthorDate: Thu Dec 14 20:45:28 2023 +0800 HIVE-27934: Fix incorrect description about the execution framework in README.md (#4917)(Butao Zhang, reviewed by Stamatis Zampetakis, Attila Turoczy) --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index c31d6108292..c5f1d18663f 100644 --- a/README.md +++ b/README.md @@ -24,10 +24,10 @@ subqueries, common table expressions, and more. Hive's SQL can also be extended with user code via user defined functions (UDFs), user defined aggregates (UDAFs), and user defined table functions (UDTFs). -Hive users have a choice of 3 runtimes when executing SQL queries. -Users can choose between Apache Hadoop MapReduce or Apache Tez -frameworks as their execution backend. MapReduce is a -mature framework that is proven at large scales. However, MapReduce +Hive users can choose between Apache Hadoop MapReduce or Apache Tez +frameworks as their execution backend. Note that MapReduce framework +has been deprecated since Hive 2, and Apache Tez is recommended. MapReduce +is a mature framework that is proven at large scales. However, MapReduce is a purely batch framework, and queries using it may experience higher latencies (tens of seconds), even over small datasets. Apache Tez is designed for interactive query, and has substantially reduced