Capability
Pyspark Dataframe Api With Arrow Based Serialization And Spark Connect
5 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →Top Matches
1
Apache SparkFramework43/100
via “pyspark dataframe api with arrow-based serialization and spark connect”
Unified engine for large-scale data processing and ML.
Unique: Uses Apache Arrow columnar format for zero-copy data transfer between Python and JVM, with Spark Connect enabling client-server architecture via gRPC for remote execution without embedding the JVM in Python processes
vs others: Faster than native Python Spark for data transfer because Arrow avoids pickle serialization overhead; more accessible than Scala API for Python developers because it uses familiar pandas-like syntax