On 18 Oct 2016, at 08:43, Chetan Khatri
<ckhatriman...@gmail.com<mailto:ckhatriman...@gmail.com>> wrote:
Hello Community members,
I am getting error while reading large JSON file in spark,
the underlying read code can't handle more than 2^31 bytes in a single line:
if (bytesConsumed > Integer.MAX_VALUE) {
throw new IOException("Too many bytes before newline: " + bytesConsumed);
}
That's because it's trying to split work by line, and of course, there aren't
lines
you need to move over to reading the JSON by other means, i'm afraid. At a
guess, something involving SparkContext.binaryFiles() streaming the data
straight into a JSON parser,
Code:
val landingVisitor =
sqlContext.read.json("s3n://hist-ngdp/lvisitor/lvisitor-01-aug.json")
unrelated, but use s3a if you can. It's better, you know.
Error:
16/10/18 07:30:30 ERROR Executor: Exception in task 8.0 in stage 0.0 (TID 8)
java.io.IOException: Too many bytes before newline: 2147483648
at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:249)
at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:135)
at
org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:237)
What would be resolution for the same ?
Thanks in Advance !
--
Yours Aye,
Chetan Khatri.
