ray/streaming/python/tests/test_word_count.py

60 lines
1.7 KiB
Python

import os
import ray
from ray.streaming import StreamingContext
def test_word_count():
ray.init(load_code_from_local=True, include_java=True)
ctx = StreamingContext.Builder() \
.build()
ctx.read_text_file(__file__) \
.set_parallelism(1) \
.flat_map(lambda x: x.split()) \
.map(lambda x: (x, 1)) \
.key_by(lambda x: x[0]) \
.reduce(lambda old_value, new_value:
(old_value[0], old_value[1] + new_value[1])) \
.filter(lambda x: "ray" not in x) \
.sink(lambda x: print("result", x))
ctx.submit("word_count")
import time
time.sleep(3)
ray.shutdown()
def test_simple_word_count():
ray.init(load_code_from_local=True, include_java=True)
ctx = StreamingContext.Builder() \
.build()
sink_file = "/tmp/ray_streaming_test_simple_word_count.txt"
if os.path.exists(sink_file):
os.remove(sink_file)
def sink_func(x):
with open(sink_file, "a") as f:
line = "{}:{},".format(x[0], x[1])
print("sink_func", line)
f.write(line)
ctx.from_values("a", "b", "c") \
.set_parallelism(1) \
.flat_map(lambda x: [x, x]) \
.map(lambda x: (x, 1)) \
.key_by(lambda x: x[0]) \
.reduce(lambda old_value, new_value:
(old_value[0], old_value[1] + new_value[1])) \
.sink(sink_func)
ctx.submit("word_count")
import time
time.sleep(3)
ray.shutdown()
with open(sink_file, "r") as f:
result = f.read()
assert "a:2" in result
assert "b:2" in result
assert "c:2" in result
if __name__ == "__main__":
test_word_count()
test_simple_word_count()