[英]How to checkpoint many source of spark streaming
I have many CSV spark.readStream in a different locations, I have to checkpoint all of them with scala, I specified a query for every stream but when I run the job, I got this message 我在不同的位置有许多CSV spark.readStream,我必须使用scala检查所有这些点,我为每个流都指定了一个查询,但是当我运行作业时,我收到了此消息
java.lang.IllegalArgumentException: Cannot start query with name "query1" as a query with that name is already active
java.lang.IllegalArgumentException:无法启动名称为“ query1”的查询,因为具有该名称的查询已处于活动状态
I solved my problem by creating a many streaming query like this : 我通过创建许多像这样的流查询解决了我的问题:
val spark = SparkSession
.builder
.appName("test")
.config("spark.local", "local[*]")
.getOrCreate()
spark.sparkContext.setCheckpointDir(path_checkpoint)
val event1 = spark
.readStream //
.schema(schema_a)
.option("header", "true")
.option("sep", ",")
.csv(path_a)
val query = event1.writeStream
.outputMode("append")
.format("console")
.start()
spark.streams.awaitAnyTermination()
val spark = SparkSession
.builder
.appName("test")
.config("spark.local", "local[*]")
.getOrCreate()
spark.sparkContext.setCheckpointDir(path_checkpoint)
val event1 = spark
.readStream //
.schema(schema_a)
.option("header", "true")
.option("sep", ",")
.csv(path_a)
val query = event1.writeStream
.outputMode("append")
.format("console")
.start()
spark.streams.awaitAnyTermination()
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