I have tried the suggestions given in the Apache Spark (Structured Streaming) : S3 Checkpoint support
I am still facing this issue. Below is the error i get
17/07/06 17:04:56 WARN FileSystem: "s3n" is a deprecated filesystem
name. Use "hdfs://s3n/" instead.
Exception in thread "main" java.lang.IllegalArgumentException:
java.net.UnknownHostException: s3n
I have something like this as part of my code
SparkSession spark = SparkSession
.builder()
.master("local[*]")
.config("spark.hadoop.fs.defaultFS","s3")
.config("spark.hadoop.fs.s3.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
.config("spark.hadoop.fs.s3n.awsAccessKeyId","<my-key>")
.config("spark.hadoop.fs.s3n.awsSecretAccessKey","<my-secret-key>")
.appName("My Spark App")
.getOrCreate();
and then checkpoint directory is being used like this:
StreamingQuery line = topicValue.writeStream()
.option("checkpointLocation","s3n://<my-bucket>/checkpointLocation/")
Any help is appreciated. Thanks in advance!
For checkpointing support of S3 in Structured Streaming you can try following way:
SparkSession spark = SparkSession
.builder()
.master("local[*]")
.appName("My Spark App")
.getOrCreate();
spark.sparkContext.hadoopConfiguration.set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
spark.sparkContext.hadoopConfiguration.set("fs.s3n.awsAccessKeyId", "<my-key>")
spark.sparkContext.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey", "<my-secret-key>")
and then checkpoint directory can be like this:
StreamingQuery line = topicValue.writeStream()
.option("checkpointLocation","s3n://<my-bucket>/checkpointLocation/")
I hope this helps!