Bryan Cutler created SPARK-23030:
------------------------------------
Summary: Decrease memory consumption with toPandas() collection
using Arrow
Key: SPARK-23030
URL: https://issues.apache.org/jira/browse/SPARK-23030
Project: Spark
Issue Type: Sub-task
Components: PySpark, SQL
Affects Versions: 2.3.0
Reporter: Bryan Cutler
Currently with Arrow enabled, calling {{toPandas()}} results in a collection of
all partitions in the JVM in the form of batches of Arrow file format. Once
collected in the JVM, they are served to the Python driver process.
I believe using the Arrow stream format can help to optimize this and reduce
memory consumption in the JVM by only loading one record batch at a time before
sending it to Python. This might also reduce the latency between making the
initial call in Python and receiving the first batch of records.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
