Reputation: 11
I'm trying to run the following code from IntelliJ idea to print messages from Kafka to console. But it throws the following error -
Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
Stacktrace started from Dataset.checkpoint
and way up. If I remove .checkpoint()
then I get some other error - related to permission
17/08/02 12:10:52 ERROR StreamMetadata: Error writing stream metadata StreamMetadata(4e612f22-efff-4c9a-a47a-a36eb533e9d6) to C:/Users/rp/AppData/Local/Temp/temporary-2f570b97-ad16-4f00-8356-d43ccb7660db/metadata
java.io.IOException: (null) entry in command string: null chmod 0644 C:\Users\rp\AppData\Local\Temp\temporary-2f570b97-ad16-4f00-8356-d43ccb7660db\metadata
Source:
def main(args : Array[String]) = {
val spark = SparkSession.builder().appName("SparkStreaming").master("local[*]").getOrCreate()
val canonicalSchema = new StructType()
.add("cid",StringType)
.add("uid",StringType)
.add("sourceSystem",
new StructType().add("id",StringType)
.add("name",StringType))
.add("name", new StructType()
.add("firstname",StringType)
.add("lastname",StringType))
val messages = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers","localhost:9092")
.option("subscribe","c_canonical")
.option("startingOffset","earliest")
.load()
.checkpoint()
.select(from_json(col("value").cast("string"),canonicalSchema))
.writeStream.outputMode("append").format("console").start.awaitTermination
}
Can anyone please help me understand where I'm doing wrong?
Upvotes: 1
Views: 1940
Reputation: 20816
Structured Streaming doesn't support Dataset.checkpoint()
. There is an open ticket to provide a better message or just ignore it: https://issues.apache.org/jira/browse/SPARK-20927
IOException probably is because you don't install cygwin on Windows.
Upvotes: 1