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Equivalent of MySQL's `kill query` in Apache SparkSQL?


By : user7447380
Date : October 18 2020, 01:08 AM
like below fixes the issue I am providing the answer myself here (got some tip from my colleagues).
There may be no direct equivalent commands in SparkSQL, but one can use the WebUI for Spark to achieve similar effects. Note that under the job listing there is a link called kill
code :


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Error while compiling apache sparkSql


By : Andy Aldridge
Date : March 29 2020, 07:55 AM
To fix the issue you can do I am trying to execute below sparkSQL example, , I found out the issue:
In the example
code :
bin/spark-submit --class "org.apache.spark.examples.sql.SimpleApp" --master local[4] try/simple-project/target/simple-project-1.0.jar

Equivalent of MySQLs TO_DAYS function in R


By : David Eduardo Gómez
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Use as.Date() which can take an integer or numeric argument. You will need to supply a proper origin. Just guest-imating this seems to work:
code :
R> as.Date(736685, origin="0000-01-01")
[1] "2016-12-22"
R> 
R> as.numeric(as.Date("2016-12-22"))
[1] 17157
R> as.numeric(as.Date("2016-12-22")) + 
+                  (as.Date("1970-01-01") - as.Date("0000-01-01"))
Time difference of 736685 days
R> as.numeric(as.Date("2016-12-22")) + 
+                  as.numeric((as.Date("1970-01-01") - as.Date("0000-01-01")))
[1] 736685
R> 

Equivalent of MySQL's `show processlist` in SparkSQL


By : Vibha
Date : October 18 2020, 03:08 PM
should help you out I am providing the answer myself here (got some tip from my colleagues).
There may be no direct equivalent commands in SparkSQL, but one can use the WebUI for Spark to achieve similar effects.

How to concurrently insert SparkSQL query output to HIVE while using it for another SparkSQL query


By : sudhakar
Date : March 29 2020, 07:55 AM
hope this fix your issue Is it possible to insert a SparkSQL dataframe o/p to Hive table and in parallel use same dataframe as subquery for another SaprkSQL action. Below pseudo-code should given an idea of what I am trying to achieve - , Try .cacheTable() on the tempview
code :
spark.cacheTable("my_table")

Apache Spark: In SparkSql, are sql's vulnerable to Sql Injection


By : jdal
Date : March 29 2020, 07:55 AM
hope this fix your issue Scenario: , You can try the following in Spark 2.0:
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