我想根据官方文档为我的python spark流脚本设置checkpoint Interval:
对于需要RDD检查点的有状态转换,默认时间间隔是批处理间隔的倍数,至少为10秒。可以使用dstream.checkpoint(checkpointInterval)进行设置。通常,检查点间隔为DStream滑动间隔的5-10倍是设置好的尝试。
我的剧本:
import sys
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
def functionToCreateContext():
sc = SparkContext(appName="PythonStreamingDirectKafkaWordCount")
ssc = StreamingContext(sc, 6)
ssc.checkpoint("./checkpoint")
kvs = KafkaUtils.createDirectStream(ssc, ['test123'], {"metadata.broker.list": "localhost:9092"})
kvs = kvs.checkpoint(60) #set the checkpoint interval
lines = kvs.map(lambda x: x[1])
counts = lines.flatMap(lambda line: line.split(" ")) \
.map(lambda word: (word, 1)) \
.reduceByKey(lambda a, b: a+b)
counts.pprint()
return ssc
if __name__ == "__main__":
ssc = StreamingContext.getOrCreate("./checkpoint", functionToCreateContext)
ssc.start()
ssc.awaitTermination()
运行脚本后的输出:
16/05/25 17:49:03 INFO DirectKafkaInputDStream: Slide time = 6000 ms
16/05/25 17:49:03 INFO DirectKafkaInputDStream: Storage level = StorageLevel(false, false, false, false, 1)
16/05/25 17:49:03 INFO DirectKafkaInputDStream: Checkpoint interval = null
16/05/25 17:49:03 INFO DirectKafkaInputDStream: Remember duration = 120000 ms
16/05/25 17:49:03 INFO DirectKafkaInputDStream: Initialized and validated org.apache.spark.streaming.kafka.DirectKafkaInputDStream@1be80174
16/05/25 17:49:03 INFO PythonTransformedDStream: Slide time = 6000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Storage level = StorageLevel(false, true, false, false, 1)
16/05/25 17:49:03 INFO PythonTransformedDStream: Checkpoint interval = 60000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Remember duration = 120000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Initialized and validated org.apache.spark.streaming.api.python.PythonTransformedDStream@69f9a089
16/05/25 17:49:03 INFO PythonTransformedDStream: Slide time = 6000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Storage level = StorageLevel(false, false, false, false, 1)
16/05/25 17:49:03 INFO PythonTransformedDStream: Checkpoint interval = null
16/05/25 17:49:03 INFO PythonTransformedDStream: Remember duration = 6000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Initialized and validated org.apache.spark.streaming.api.python.PythonTransformedDStream@d97386a
16/05/25 17:49:03 INFO PythonTransformedDStream: Slide time = 6000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Storage level = StorageLevel(false, false, false, false, 1)
16/05/25 17:49:03 INFO PythonTransformedDStream: Checkpoint interval = null
16/05/25 17:49:03 INFO PythonTransformedDStream: Remember duration = 6000 ms
16/05/25 17:49:03 INFO PythonTransformedDStream: Initialized and validated org.apache.spark.streaming.api.python.PythonTransformedDStream@16c474ad
16/05/25 17:49:03 INFO ForEachDStream: Slide time = 6000 ms
16/05/25 17:49:03 INFO ForEachDStream: Storage level = StorageLevel(false, false, false, false, 1)
16/05/25 17:49:03 INFO ForEachDStream: Checkpoint interval = null
16/05/25 17:49:03 INFO ForEachDStream: Remember duration = 6000 ms
..........
DStream检查点间隔仍为空。对此有何想法?
答案 0 :(得分:3)
尝试将此行向下移动几行,直到您创建了流:ssc.checkpoint("./checkpoint")
基本上,在完全准备好流后,请检查点。