kandi X-RAY | spark-test Summary
kandi X-RAY | spark-test Summary
Allows testing Spark Web Framework based applications through HTTP
Top functions reviewed by kandi - BETA
spark-test Key Features
spark-test Examples and Code Snippets
Trending Discussions on spark-test
ANSWERAnswered 2022-Feb-27 at 18:25
Luis Miguel Mejía Suárez's comment worked perfectly and was the easier approach.
In the context of this project, all I had to do was:
-SNAPSHOTto the version in
/version.sbt(should not be needed normally but for this project I had to do this)
sbt publishLocalin the parent project.
After this, the example project (which already targets the
-SNAPSHOT version) is able to pick up the locally built package.
I am trying to deploy a docker container with Kafka and Spark and would like to read to Kafka Topic from a pyspark application. Kafka is working and I can write to a topic and also spark is working. But when I try to read the Kafka stream I get the error message:...
ANSWERAnswered 2022-Jan-24 at 23:36
Missing application resource
This implies you're running the code using
python rather than
I was able to reproduce the error by copying your environment, as well as using
findspark, it seems
PYSPARK_SUBMIT_ARGS aren't working in that container, even though the variable does get loaded...
The workaround would be to pass the argument at execution time.
when I run my tests in Intellij idea choosing code coverage tool as JaCoCo and include my packages I see I get 80% above coverage in the report but when I run it using maven command line I get 0% in JaCoCo report below are two questions.
can I see what command Intellij Idea Ultimate version is using to run my unit tests with code coverage ?
Why my maven command mvn clean test jacoco:report is showing my coverage percentage as 0%.
This is a Scala maven project.
My POM.xml file:-...
ANSWERAnswered 2021-Feb-03 at 22:16
Assuming that you are using JaCoCo with cobertura coverage you need to declare the dependencies and the plugin to run the command
We recently made an upgrade from Spark 2.4.2 to 2.4.5 for our ETL project.
After deploying the changes, and running the job I am seeing the following error:...
ANSWERAnswered 2020-Oct-08 at 20:51
I think it is due to mismatch between Scala version with which the code is compiled and Scala version of the runtime.
Spark 2.4.2 was prebuilt using Scala 2.12 but Scala 2.4.5 is prebuilt with Scala 2.11 as mentioned at - https://spark.apache.org/downloads.html.
This issue should go away if you use spark libraries compiled in 2.11
I am getting this error when I try to run spark test in local :...
ANSWERAnswered 2020-Oct-01 at 14:47
My problem come from a spark error about union 2 dataframe that i can't, but the message is not explict.
If you have the same problem, you can try your test with a local spark session.
DataFrameSuiteBase from your test class and instead make a local spark session:
I am trying to setup a SBT project for Spark 2.4.5 with DeltaLake 0.6.1 . My build file is as follows.
However seems this configuration cannot resolve some dependencies....
ANSWERAnswered 2020-Jun-23 at 10:17
I haven't managed to figure it out myself when and why it happens, but I did experience similar resolution-related errors earlier.
Whenever I run into issues like yours I usually delete the affected directory (e.g.
/Users/ashika.umagiliya/.m2/repository/org/antlr) and start over. It usually helps.
I always make sure to use the latest and greatest sbt. You seem to be on macOS so use
brew update early and often.
I'd also recommend using the latest and greatest for the libraries, and more specifically, for Spark it'd be 2.4.6 (in the 2.4.x line) while Delta Lake should be 0.7.0.
I am upgrading Spark from version 2.3.1 to 2.4.5. I am retraining a model with Spark 2.4.5 on Google Cloud Platform's Dataproc using Dataproc image 1.4.27-debian9. When I load the model produced by the Dataproc on my local machine using Spark 2.4.5 to validate the model. Unfortunately, I am getting the following exception:...
ANSWERAnswered 2020-May-28 at 20:02
Basically, I want to apply my function countSimilarColumns on each row of dataframe and put the result in a new column.
My code is as follows...
ANSWERAnswered 2020-May-16 at 14:59
flattenData is of type
DataFrame & applying map function on flattenData will get result of
You are passing result of
flattenData.map(row => countSimilarColumns(row, referenceCustomerRow)) to
withColumn can only take the data of type
So if you want to add above result without
UDF to a column you have to use
collect function & then pass it to
Please check below code.
I have a spark streaming job that I am trying to submit by a spark-k8-operator. I have kept the restart policy as Always. However, on the manual deletion of the driver the driver is not getting restarted. My yaml:...
ANSWERAnswered 2020-May-03 at 20:11
There was an issue with the spark-K8 driver, now it has been fixed and I can see the manually deleted driver getting restarted. Basically code was not handling default values
OR just have the following config in place so that default values are not required"
Following is a simple word count Spark App using DataFrame and the corresponding unit tests using spark-testingbase. It works if I use the following...
ANSWERAnswered 2020-Apr-12 at 03:11
You should call/import
sqlContext.implicits to access
$(dollar sign) in your code
No vulnerabilities reported
You can use spark-test like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the spark-test component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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