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Rerun Scala code with -deprecation using Apache Zeppelin
General apache zeppelin spark developmentApplication kill of spark on yarn via ZeppelinZeppelin : Error while running notebookZeppelin load full project /external filesApache Zeppelin cannot deserialize dataset: “NoSuchMethodError”Using Apache Spark's Time class/typeMS azure, zeppelin load scala fileApache Zeppelin with Java error: ';' expected but 'class' foundImporting scala packages (no jar) at ZeppelinUse IntelliJ idea's Scala worksheet as a Scala REPL for Apache Spark
I am using a Zeppelin notebook to create a Spark script in Scala.
Code:
def test: DataFrame=
//code
I am getting the following warning:
warning: there was one deprecation warning; re-run with -deprecation for details.
Any suggestions of how to run the function with "-deprecation"?
PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.
scala apache-spark apache-zeppelin
edited Mar 8 at 4:59
Shaido
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
add a comment |
I am using a Zeppelin notebook to create a Spark script in Scala.
Code:
def test: DataFrame=
//code
I am getting the following warning:
warning: there was one deprecation warning; re-run with -deprecation for details.
Any suggestions of how to run the function with "-deprecation"?
PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.
scala apache-spark apache-zeppelin
edited Mar 8 at 4:59
Shaido
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
add a comment |
I am using a Zeppelin notebook to create a Spark script in Scala.
Code:
def test: DataFrame=
//code
I am getting the following warning:
warning: there was one deprecation warning; re-run with -deprecation for details.
Any suggestions of how to run the function with "-deprecation"?
PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.
scala apache-spark apache-zeppelin
edited Mar 8 at 4:59
Shaido
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
I am using a Zeppelin notebook to create a Spark script in Scala.
Code:
def test: DataFrame=
//code
I am getting the following warning:
warning: there was one deprecation warning; re-run with -deprecation for details.
Any suggestions of how to run the function with "-deprecation"?
PS. I'm not asking about the warning which will require the complete code of the function. I'm looking for suggestions on how to rerun the function with the depreciation parameter in a zeppelin notebook. Existing solutions for this question covers only running in SBT.
scala apache-spark apache-zeppelin
scala apache-spark apache-zeppelin
edited Mar 8 at 4:59
Shaido
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
edited Mar 8 at 4:59
Shaido
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
edited Mar 8 at 4:59
Shaido
13k123044
edited Mar 8 at 4:59
Shaido
13k123044
edited Mar 8 at 4:59
Shaido
13k123044
13k123044
asked Mar 7 at 22:01
vikkyvikky
70721430
asked Mar 7 at 22:01
vikkyvikky
70721430
asked Mar 7 at 22:01
vikkyvikky
70721430
70721430
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.
In short, add "-deprecation" as value for the args property and you will be able to see the details.
answered Mar 8 at 3:23
ShaidoShaido
13k123044
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.
In short, add "-deprecation" as value for the args property and you will be able to see the details.
answered Mar 8 at 3:23
ShaidoShaido
13k123044
add a comment |
In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.
In short, add "-deprecation" as value for the args property and you will be able to see the details.
answered Mar 8 at 3:23
ShaidoShaido
13k123044
add a comment |
In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.
In short, add "-deprecation" as value for the args property and you will be able to see the details.
answered Mar 8 at 3:23
ShaidoShaido
13k123044
In the Spark interpreter settings in Zeppelin there is a "args" property that can be set. This corresponds to Spark commandline arguments which is what to change in this case. More infomration about possible configurations can be found in the documentation here.
In short, add "-deprecation" as value for the args property and you will be able to see the details.
answered Mar 8 at 3:23
ShaidoShaido
13k123044
answered Mar 8 at 3:23
ShaidoShaido
13k123044
answered Mar 8 at 3:23
ShaidoShaido
13k123044
answered Mar 8 at 3:23
ShaidoShaido
13k123044
13k123044
add a comment |
add a comment |
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