Hi,
Conceptually I can understand below spark joins, when it comes to
implementation I don’t find much information in Google. Please help me with
code/pseudo code for below joins using java-spark or scala-spark.
*Replication Join:*
Given two datasets, where one is small enough to fit into
the memory, perform a Replicated join using Spark.
Note: Need a program to justify this fits for Replication Join.
*Semi-Join:*
Given a huge dataset, do a semi-join using spark. Note
that, with semi-join, one dataset needs to do Filter and projection to fit
into the cache.
Note: Need a program to justify this fits for Semi-Join.
*Composite Join:*
Given a dataset whereby a dataset is still too big after
filtering and cannot fit into the memory. Perform composite join on a
pre-sorted and pre-partitioned data using spark.
Note: Need a program to justify this fits for composite Join.
*Repartition join:*
Join two datasets by performing Repartition join in spark.
Note: Need a program to justify this fits for repartition Join.
Thanks,
Aakash.
