Nathan Grand created SPARK-30792:
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Summary: Dataframe .limit() performance improvements
Key: SPARK-30792
URL: https://issues.apache.org/jira/browse/SPARK-30792
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: Nathan Grand
It seems that
{code:java}
.limit(){code}
is much less efficient than it could be/one would expect when reading a large
dataset from parquet:
{code:java}
val sample = spark.read.parquet("/Some/Large/Data.parquet").limit(1000)
// Do something with sample ...{code}
This might take hours, depending on the size of the data.
By comparison,
{code:java}
spark.read.parquet("/Some/Large/Data.parquet").show(1000){code}
is essentially instant.
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