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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 <[email protected]>
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
