From 1e312659d73b2f54d8acb4a380cf42a6f241bff5 Mon Sep 17 00:00:00 2001
From: GuoPhilipse <46367746+GuoPhilipse@users.noreply.github.com>
Date: Mon, 18 May 2020 17:59:04 +0800
Subject: [PATCH] [SPARK-31710][SQL]Add compatibility flag to cast long to
 timestamp

As we know,long datatype is interpreted as milliseconds when conversion to timestamp in hive, while long is interpreted as seconds when conversion to timestamp in spark, we have been facing error data during migrating hive sql to spark sql. with compatibility flag we can fix this error,
---
 .../src/main/scala/org/apache/spark/sql/internal/SQLConf.scala  | 2 --
 1 file changed, 2 deletions(-)

diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index 1a1e16234c736..ea91fa51efc5a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -3174,10 +3174,8 @@ class SQLConf extends Serializable with Logging {
 
   def integerGroupingIdEnabled: Boolean = getConf(SQLConf.LEGACY_INTEGER_GROUPING_ID)
 
-  
   def longTimestampConversionInSeconds: Boolean = getConf(LONG_TIMESTAMP_CONVERSION_IN_SECONDS)
 
-
   /** ********************** SQLConf functionality methods ************ */
 
   /** Set Spark SQL configuration properties. */