What meaning Dataframes are RDDs under the cover ?
What meaning deduplication ?
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The performant way would be to partition your dataset into reasonably small
chunks and use a bloom filter to see if the entity might be in your set
before you make a lookup.
Check the bloom filter, if the entity might be in the set, rely on partition
pruning to read and backfill the relevant
Hi Rishi,
1. Dataframes are RDDs under the cover. If you have unstructured data or if
you know something about the data through which you can optimize the
computation. you can go with RDDs. Else the Dataframes which are optimized
by Spark SQL should be fine.
2. For incremental deduplication, I
Hi All,
I have around 100B records where I get new , update & delete records.
Update/delete records are not that frequent. I would like to get some
advice on below:
1) should I use rdd + reducibly or DataFrame window operation for data of
this size? Which one would outperform the other? Which is
