mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
import os
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import ray
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from ray.streaming import StreamingContext
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def test_word_count():
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ray.init(load_code_from_local=True, include_java=True)
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ctx = StreamingContext.Builder() \
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.build()
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ctx.read_text_file(__file__) \
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.set_parallelism(1) \
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.flat_map(lambda x: x.split()) \
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.map(lambda x: (x, 1)) \
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.key_by(lambda x: x[0]) \
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.reduce(lambda old_value, new_value:
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(old_value[0], old_value[1] + new_value[1])) \
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.filter(lambda x: "ray" not in x) \
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.sink(lambda x: print("result", x))
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ctx.submit("word_count")
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import time
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time.sleep(3)
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ray.shutdown()
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def test_simple_word_count():
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ray.init(load_code_from_local=True, include_java=True)
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ctx = StreamingContext.Builder() \
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.build()
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sink_file = "/tmp/ray_streaming_test_simple_word_count.txt"
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if os.path.exists(sink_file):
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os.remove(sink_file)
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def sink_func(x):
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with open(sink_file, "a") as f:
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line = "{}:{},".format(x[0], x[1])
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print("sink_func", line)
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f.write(line)
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ctx.from_values("a", "b", "c") \
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.set_parallelism(1) \
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.flat_map(lambda x: [x, x]) \
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.map(lambda x: (x, 1)) \
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.key_by(lambda x: x[0]) \
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.reduce(lambda old_value, new_value:
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(old_value[0], old_value[1] + new_value[1])) \
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.sink(sink_func)
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ctx.submit("word_count")
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import time
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time.sleep(3)
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ray.shutdown()
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with open(sink_file, "r") as f:
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result = f.read()
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assert "a:2" in result
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assert "b:2" in result
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assert "c:2" in result
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if __name__ == "__main__":
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test_word_count()
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test_simple_word_count()
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