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[SPARK-48044][PYTHON][CONNECT] Cache DataFrame.isStreaming
#46281
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dongjoon-hyun
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Apr 29, 2024
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+1, LGTM.
Merged to master. Thank you, @zhengruifeng . |
thanks @dongjoon-hyun for reviews |
JacobZheng0927
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May 11, 2024
### What changes were proposed in this pull request? Cache `DataFrame.isStreaming` ### Why are the changes needed? In PS, `DataFrame.isStreaming` is used in the construction of `InternalFrame` https://github.com/apache/spark/blob/e01ac581f46aa595e66daf33fe92b56d1328bc78/python/pyspark/pandas/internal.py#L624 it might cause performance issues since a lot of `InternalFrame` will be built even in a simple logic, such as ``` import cProfile, pstats import pyspark.pandas as ps df1 = ps.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'], 'value': [1, 2, 3, 5]}, columns=['lkey', 'value']) cProfile.run("df1['value2'] = df1['value'] + 123 + 456", "/tmp/profile_results") pstats.Stats("/tmp/profile_results").sort_stats("cumtime").print_stats(.1) ``` before: ``` ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.120 0.120 {built-in method builtins.exec} 1 0.000 0.000 0.120 0.120 <string>:1(<module>) 27 0.000 0.000 0.113 0.004 /Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/client/core.py:1160(_analyze) 27 0.000 0.000 0.112 0.004 /Users/ruifeng.zheng/.dev/miniconda3/envs/spark_dev_311/lib/python3.11/site-packages/grpc/_channel.py:1161(__call__) 27 0.000 0.000 0.112 0.004 /Users/ruifeng.zheng/.dev/miniconda3/envs/spark_dev_311/lib/python3.11/site-packages/grpc/_channel.py:1124(_blocking) 27 0.110 0.004 0.110 0.004 {method 'next_event' of 'grpc._cython.cygrpc.SegregatedCall' objects} 2 0.000 0.000 0.108 0.054 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/base.py:318(__add__) 2 0.000 0.000 0.078 0.039 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/data_type_ops/num_ops.py:79(add) 2 0.000 0.000 0.074 0.037 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/base.py:210(wrapper) 24 0.000 0.000 0.064 0.003 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/internal.py:1435(copy) 24 0.000 0.000 0.063 0.003 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/internal.py:535(__init__) ``` after: ``` ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.082 0.082 {built-in method builtins.exec} 1 0.000 0.000 0.082 0.082 <string>:1(<module>) 2 0.000 0.000 0.081 0.041 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/base.py:318(__add__) 4 0.000 0.000 0.078 0.019 /Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/client/core.py:1160(_analyze) 4 0.000 0.000 0.077 0.019 /Users/ruifeng.zheng/.dev/miniconda3/envs/spark_dev_311/lib/python3.11/site-packages/grpc/_channel.py:1161(__call__) 4 0.000 0.000 0.077 0.019 /Users/ruifeng.zheng/.dev/miniconda3/envs/spark_dev_311/lib/python3.11/site-packages/grpc/_channel.py:1124(_blocking) 4 0.077 0.019 0.077 0.019 {method 'next_event' of 'grpc._cython.cygrpc.SegregatedCall' objects} 26 0.000 0.000 0.058 0.002 /Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/dataframe.py:1783(schema) 3 0.000 0.000 0.058 0.019 /Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/client/core.py:1031(schema) 2 0.000 0.000 0.057 0.029 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/data_type_ops/num_ops.py:79(add) 2 0.000 0.000 0.057 0.028 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/base.py:210(wrapper) 24 0.000 0.000 0.026 0.001 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/internal.py:1435(copy) 21 0.000 0.000 0.025 0.001 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/internal.py:1419(select_column) 19 0.000 0.000 0.025 0.001 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/series.py:438(_internal) 24 0.000 0.000 0.025 0.001 /Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/internal.py:535(__init__) ``` There are 24 `InternalFrame.__init__` invocations in this example, the number of RPC is reduced from 27 to 4. ### Does this PR introduce _any_ user-facing change? no ### How was this patch tested? ci ### Was this patch authored or co-authored using generative AI tooling? no Closes apache#46281 from zhengruifeng/cache_is_streaming_x. Authored-by: Ruifeng Zheng <ruifengz@apache.org> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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What changes were proposed in this pull request?
Cache
DataFrame.isStreaming
Why are the changes needed?
In PS,
DataFrame.isStreaming
is used in the construction ofInternalFrame
spark/python/pyspark/pandas/internal.py
Line 624 in e01ac58
it might cause performance issues since a lot of
InternalFrame
will be built even in a simple logic, such asbefore:
after:
There are 24
InternalFrame.__init__
invocations in this example, the number of RPC is reduced from 27 to 4.Does this PR introduce any user-facing change?
no
How was this patch tested?
ci
Was this patch authored or co-authored using generative AI tooling?
no