HuangXingBo opened a new pull request #11881:
URL: https://github.com/apache/flink/pull/11881
## What is the purpose of the change
*Currently the default value for "python.fn-execution.bundle.size" is 1000
and the default value for "python.fn-execution.bundle.time" is 1000ms. This
pull request will adjust the default value of bundle size and bundle time which
works best in most scenarios.*
## Brief change log
- *Adjust default value of python.fn-execution.bundle.size and
python.fn-execution.bundle.time in PythonOptions.java*
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (no)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (no)
- The serializers: (no)
- The runtime per-record code paths (performance sensitive): (no)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn/Mesos, ZooKeeper: (no)
- The S3 file system connector: (no)
## Documentation
- Does this pull request introduce a new feature? (no)
- If yes, how is the feature documented? (not applicable / docs / JavaDocs
/ not documented)
## How does this patch test
### Test Code
@udf(input_types=[DataTypes.STRING(False)],
result_type=DataTypes.STRING(False))
def inc(x):
import time
time.sleep(10)
return x
t_env.register_function("inc", inc)
#num_rows = 100000000
num_rows = 20000000
num = 1000
# every element will be prefix
prefix = "1" * num
# num_rows = 1
t_env.from_table_source(RangeStringTableSource(1, num_rows, 1,
prefix)).alias("id") \
.select("inc(id)") \
.insert_into("sink")
beg_time = time.time()
t_env.execute("perf_test")
print("consume time: " + str(time.time() - beg_time))
## Test Data
4 Byte(30kw row data)
100 Byte(10kw row data)
1k Byte(2kw row data)
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