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new d4a16f4 [SPARK-27419][FOLLOWUP][DOCS] Add note about
spark.executor.heartbeatInterval change to migration guide
d4a16f4 is described below
commit d4a16f46f71021178bfc7dca511e47390986197d
Author: Sean Owen <sean.o...@databricks.com>
AuthorDate: Mon Apr 22 12:02:16 2019 +0800
[SPARK-27419][FOLLOWUP][DOCS] Add note about
spark.executor.heartbeatInterval change to migration guide
## What changes were proposed in this pull request?
Add note about spark.executor.heartbeatInterval change to migration guide
See also https://github.com/apache/spark/pull/24329
## How was this patch tested?
N/A
Closes #24432 from srowen/SPARK-27419.2.
Authored-by: Sean Owen <sean.o...@databricks.com>
Signed-off-by: Wenchen Fan <wenc...@databricks.com>
---
docs/sql-migration-guide-upgrade.md | 8 ++++++++
1 file changed, 8 insertions(+)
diff --git a/docs/sql-migration-guide-upgrade.md
b/docs/sql-migration-guide-upgrade.md
index b193522..90a7d8d 100644
--- a/docs/sql-migration-guide-upgrade.md
+++ b/docs/sql-migration-guide-upgrade.md
@@ -124,6 +124,14 @@ license: |
- In Spark version 2.4, when a spark session is created via
`cloneSession()`, the newly created spark session inherits its configuration
from its parent `SparkContext` even though the same configuration may exist
with a different value in its parent spark session. Since Spark 3.0, the
configurations of a parent `SparkSession` have a higher precedence over the
parent `SparkContext`.
+## Upgrading from Spark SQL 2.4 to 2.4.1
+
+ - The value of `spark.executor.heartbeatInterval`, when specified without
units like "30" rather than "30s", was
+ inconsistently interpreted as both seconds and milliseconds in Spark 2.4.0
in different parts of the code.
+ Unitless values are now consistently interpreted as milliseconds.
Applications that set values like "30"
+ need to specify a value with units like "30s" now, to avoid being
interpreted as milliseconds; otherwise,
+ the extremely short interval that results will likely cause applications
to fail.
+
## Upgrading From Spark SQL 2.3 to 2.4
- In Spark version 2.3 and earlier, the second parameter to array_contains
function is implicitly promoted to the element type of first array type
parameter. This type promotion can be lossy and may cause `array_contains`
function to return wrong result. This problem has been addressed in 2.4 by
employing a safer type promotion mechanism. This can cause some change in
behavior and are illustrated in the table below.
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