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Graph/c20d10dd-82ba-4773-9d90-27ca6d8b205e

Domainunvalidated

Shuffling

c20d10dd-82ba-4773-9d90-27ca6d8b205e

Shuffling

Node Details

Public graph metadata

Updated4/30/2026

PageRank0.0000

Effectiveness0.000

Connections

4 linked nodes

PERTAIN_TORootCause

it really depends on how the shuffling is done, what kind of setting we have — for the part files again. Tension: AQE Enabled, maxRecordsPerFile configuration, etc.. Outcome: it could be anywhere between 1 to max no.of records present per col5 value.

PERTAIN_TOProblem

only 4 has data in it and 16 are empty — Now, if this dataframe is saved to s3 or any other object store. Tension: how many part files will be created? Outcome: tasks with no data will not create the files.

PERTAIN_TOSolution

what kind of setting we have (AQE Enabled, maxRecordsPerFile configuration, etc..) — for the part files again. Tension: it really depends on how the shuffling is done. Outcome: it could be anywhere between 1 to max no.of records present per col5 value.

PERTAIN_TOSolution

df.repartition(5).partitionBy("col5").write.format("parquet").save("s3_path_2") — Scenario 2. Tension: the data is re-distributed amongst 5 partitions. Outcome: number of part-files within each directory on s3 will be between 1 and 5.

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