GuoPhilipse commented on a change in pull request #28593:
URL: https://github.com/apache/spark/pull/28593#discussion_r428529561
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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@@ -2586,6 +2586,22 @@ object SQLConf {
.checkValue(_ > 0, "The timeout value must be positive")
.createWithDefault(10L)
+ val LEGACY_NUMERIC_CONVERT_TO_TIMESTAMP_ENABLE =
+ buildConf("spark.sql.legacy.numericConvertToTimestampEnable")
+ .doc("when true,use legacy numberic can convert to timestamp")
+ .version("3.0.0")
+ .booleanConf
+ .createWithDefault(false)
+
+ val LEGACY_NUMERIC_CONVERT_TO_TIMESTAMP_IN_SECONDS =
+ buildConf("spark.sql.legacy.numericConvertToTimestampInSeconds")
+ .internal()
+ .doc("The legacy only works when
LEGACY_NUMERIC_CONVERT_TO_TIMESTAMP_ENABLE is true." +
+ "when true,the value will be interpreted as seconds,which follow
spark style," +
+ "when false,value is interpreted as milliseconds,which follow hive
style")
Review comment:
Hi HyukjinKwon
i agree with you that the function is a cool desgin ,But to be honest , if i
change one sql,it will be easy,but we have almost hundred thousand tasks,To
change all tasks with obvious conversion,implicit conversion，or expression
convesion will be a huge task,some individual have over 1 thousand tasks, it
will be a really touch thing.i will jump for joy if we have better ideas .
@HyukjinKwon
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