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Posted to issues@spark.apache.org by "Lê Văn Thanh (JIRA)" <ji...@apache.org> on 2017/07/19 09:59:01 UTC
[jira] [Updated] (SPARK-21471) Read binary file error in Spark
Streaming
[ https://issues.apache.org/jira/browse/SPARK-21471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lê Văn Thanh updated SPARK-21471:
---------------------------------
Description:
My client using GZIPOutputStream to compressed the data and push to my server. When I using binaryRecordsStream method to stream/read data and I got a message like :
!http://sv1.upsieutoc.com/2017/07/19/error.png!
My code :
{code:java}
SparkConf conf = new SparkConf().setAppName("SparkStream").setMaster("local[*]").set("spark.executor.memory", "1g");
JavaStreamingContext streamingContext = new JavaStreamingContext(conf, Seconds.apply(10));
JavaDStream<byte[]> javaDStream = streamingContext.binaryRecordsStream("hdfs://localhost:9000/user/data/", 10); javaDStream.foreachRDD(x -> {
List<byte[]> bytes = x.collect();
System.out.println(bytes);
});
{code}
Can you tell me how to fix this issue .
was:
My client using GZIPOutputStream to compressed the data . When I using binaryRecordsStream method to stream/read data and I got a message like :
!http://sv1.upsieutoc.com/2017/07/19/error.png!
My code :
{code:java}
SparkConf conf = new SparkConf().setAppName("SparkStream").setMaster("local[*]").set("spark.executor.memory", "1g");
JavaStreamingContext streamingContext = new JavaStreamingContext(conf, Seconds.apply(10));
JavaDStream<byte[]> javaDStream = streamingContext.binaryRecordsStream("hdfs://localhost:9000/user/data/", 10); javaDStream.foreachRDD(x -> {
List<byte[]> bytes = x.collect();
System.out.println(bytes);
});
{code}
Can you tell me how to fix this issue .
> Read binary file error in Spark Streaming
> -----------------------------------------
>
> Key: SPARK-21471
> URL: https://issues.apache.org/jira/browse/SPARK-21471
> Project: Spark
> Issue Type: Bug
> Components: Java API, Spark Core
> Affects Versions: 2.2.0
> Environment: <groupId>org.apache.spark</groupId>
> <artifactId>spark-streaming_2.11</artifactId>
> <version>2.2.0</version>
> Ubuntu - 16.10
> Hadoop - 2.7.3
> Reporter: Lê Văn Thanh
>
> My client using GZIPOutputStream to compressed the data and push to my server. When I using binaryRecordsStream method to stream/read data and I got a message like :
> !http://sv1.upsieutoc.com/2017/07/19/error.png!
> My code :
> {code:java}
> SparkConf conf = new SparkConf().setAppName("SparkStream").setMaster("local[*]").set("spark.executor.memory", "1g");
> JavaStreamingContext streamingContext = new JavaStreamingContext(conf, Seconds.apply(10));
> JavaDStream<byte[]> javaDStream = streamingContext.binaryRecordsStream("hdfs://localhost:9000/user/data/", 10); javaDStream.foreachRDD(x -> {
> List<byte[]> bytes = x.collect();
> System.out.println(bytes);
> });
> {code}
> Can you tell me how to fix this issue .
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