Just use the --jars
parameter. Spark will share those jars (comma-separated) with the executors.
More Related Contents:
- How to split Vector into columns – using PySpark
- Submitting a multidimensional array via POST with php
- Split Spark Dataframe string column into multiple columns
- What does “Stage Skipped” mean in Apache Spark web UI?
- How to create SparkSession with Hive support (fails with “Hive classes are not found”)?
- How to control partition size in Spark SQL
- creating spark data structure from multiline record
- Split 1 column into 3 columns in spark scala
- How are stages split into tasks in Spark?
- How to tune spark executor number, cores and executor memory?
- Pyspark: explode json in column to multiple columns
- Is it possible to mix –class-path and –module-path in javac (JDK 9)?
- How to split a list to multiple columns in Pyspark?
- Matrix Multiplication in Apache Spark [closed]
- Cast column containing multiple string date formats to DateTime in Spark
- How to manually set group.id and commit kafka offsets in spark structured streaming?
- How do you control the size of the output file?
- What is a task in Spark? How does the Spark worker execute the jar file?
- Apache Spark: What is the equivalent implementation of RDD.groupByKey() using RDD.aggregateByKey()?
- Load CSV file with PySpark
- Replace missing values with mean – Spark Dataframe
- Change output filename prefix for DataFrame.write()
- Spark-Monotonically increasing id not working as expected in dataframe?
- pyspark: rolling average using timeseries data
- Add column sum as new column in PySpark dataframe
- How to sort an RDD in Scala Spark?
- How to drop all columns with null values in a PySpark DataFrame?
- How to improve broadcast Join speed with between condition in Spark
- Spark SQL referencing attributes of UDT
- Why does SparkSession execute twice for one action?