*if run / fork := true is removed from sbt then: Caused by: java.io.FileNotFoundException: /Users/ajitkumar/Downloads/flice/sensor-nws/target/bg-jobs/sbt_4be36759/target/135c9252/81ecd14d/hadoop-client-api-3.3.1.jar (No such file or directory) if not removed the below code results in Answer The problem gets solved after adding run / connectInput := true to build.sbt. more on this: https://github.com/sbt/sbt/issues/229
Tag: apache-spark
Running unit tests with Spark 3.3.0 on Java 17 fails with IllegalAccessError: class StorageUtils cannot access class sun.nio.ch.DirectBuffer
According to the release notes, and specifically the ticket Build and Run Spark on Java 17 (SPARK-33772), Spark now supports running on Java 17. However, using Java 17 (Temurin-17.0.3+7) with Maven (3.8.6) and maven-surefire-plugin (3.0.0-M7), when running a unit test that uses Spark (3.3.0) it fails with: java.lang.IllegalAccessError: class org.apache.spark.storage.StorageUtils$ (in unnamed module @0x1e7ba8d9) cannot access class sun.nio.ch.DirectBuffer (in module
How to create a struct column from a list of column names in Spark with Java?
I have a DataFrame with multiple columns, e.g. I also have a list of the column names which corresponds to bowling stats: List bowlingParams = new ArrayList(Arrays.asList(“bowlingAvg”, “bowlingSR”, “wickets”)); Expected Schema: I can do it like this However, I want to use the list to dynamically select the column for struct. I know we can do it like this in
Using createOrReplaceTempView to replace a temp view not working as expected
I have a dataset something similar to this My spark code is I am trying to replace the people view by calling createOrReplaceTempView but i get the following error as below How do I replace the view in spark? Answer So I got the solution to the above question by the following code
BiGrams Spark using java
I already have the sentences in a RDD and the output looks like: RT @DougJ7777: If Britain wins #Eurovision then we have to rejoin the EU. It’s in the rules. #Eurovision2018 RT @Mystificus: Of course I’ll watch #eurovision tonight. After all, 200 million people can’t be wrong, can they? Er…ðð«… RT @KlNGNEUER: Me when Europeans make fun of Eurovision VS
spark java how to select newly added column using withcolumn
I am trying to create java spark program and trying to add anew column using and when I am trying to select with its saying Cannot reslove column name newColumn. Can some one please help me how to do this in Java? Answer qdf is the dataframe before you added the newColumn which is why you are unable to select
Scala No Method Found Exception
I am using getting the below line of error : My Pom : Any help regarding this ? Answer Check mvn dependency:tree. All your Scala libs will be suffixed with the major Scala version: All of them need to be the same major version otherwise you’ll get binary incompatible libs at runtime. Your maven pom should have all Scala libs
A parquet file of a dataset having a String field containing leading zeroes returns that field without leading zeroes, if it is paritionned by it
I have a Dataset gathering informations about French cities, and the field that is troubling me is the department one (CodeDepartement). When the Dataset isn’t partitioned by this String field codeDepartement: everything is working well When that function runs, if I don’t attempt to partition the dataset (the required statements for partitioning are commented here), everything goes fine: The content
Unable to connect to a database using JDBC within Spark with Scala
I’m trying to read data from JDBC in Spark Scala. Below is the code written in Databricks. I’m getting the following error message: Could someone please let me know how to resolve this issue. Answer The certificate used by your host is not trusted by java. Solution 1 (Easy, not recommended) Disabled certificate checking and always trust the certificate provided
Spark Dataset Foreach function does not iterate
Context I want to iterate over a Spark Dataset and update a HashMap for each row. Here is the code I have: Issue My issue is that the foreach doesn’t iterate at all, the lambda is never executed and I don’t know why. I implemented it as indicated here: How to traverse/iterate a Dataset in Spark Java? At the end,