[
https://issues.apache.org/jira/browse/SPARK-13377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhao Zhang updated SPARK-13377:
-------------------------------
Description:
I am using the sc.binaryFiles() interface to load a directory of small files
into Spark. Each input file has two replicas in HDFS, as shown below:
root@ip-172-31-18-231 python]$ ~/ephemeral-hdfs/bin/hdfs fsck /user/root/1.txt
-files -blocks -locations
Connecting to namenode via
http://ec2-54-183-233-19.us-west-1.compute.amazonaws.com:50070
FSCK started by root (auth:SIMPLE) from /172.31.18.231 for path
/user/root/1.txt at Thu Feb 18 23:30:04 UTC 2016
/user/root/1.txt 12 bytes, 1 block(s): OK
0. BP-1035722345-172.31.18.231-1455830537596:blk_7363655817569260238_1002
len=12 repl=2 [172.31.18.204:50010, 172.31.30.137:50010]
However, in Spark REPL, the preferredLocations() method only return one address
instead of two:
scala> val r = sc.binaryFiles("1.txt")
r: org.apache.spark.rdd.RDD[(String,
org.apache.spark.input.PortableDataStream)] = 1.txt BinaryFileRDD[1] at
binaryFiles at <console>:21
scala> r.partitions.map(r.preferredLocations(_))
res1: Array[Seq[String]] =
Array(WrappedArray(ip-172-31-18-204.us-west-1.compute.internal))
We trace the source code down from sc.binaryFiles() to binaryFileRDD, but can
not find a quick fix. Please help accordingly.
was:
I am using the sc.binaryFiles() interface to load a directory of small files
into Spark. Each input file has two replicas in HDFS, as shown below:
root@ip-172-31-18-231 python]$ ~/ephemeral-hdfs/bin/hdfs fsck /user/root/1.txt
-files -blocks -locations
Connecting to namenode via
http://ec2-54-183-233-19.us-west-1.compute.amazonaws.com:50070
FSCK started by root (auth:SIMPLE) from /172.31.18.231 for path
/user/root/1.txt at Thu Feb 18 23:30:04 UTC 2016
/user/root/1.txt 12 bytes, 1 block(s): OK
0. BP-1035722345-172.31.18.231-1455830537596:blk_7363655817569260238_1002
len=12 repl=2 [172.31.18.204:50010, 172.31.30.137:50010]
However, in Spark REPL, the preferredLocations() method only return one address
instead of two:
scala> val r = sc.binaryFiles("1.txt")
r: org.apache.spark.rdd.RDD[(String,
org.apache.spark.input.PortableDataStream)] = 1.txt BinaryFileRDD[1] at
binaryFiles at <console>:21
scala> r.partitions.map(r.preferredLocations(_))
res1: Array[Seq[String]] =
Array(WrappedArray(ip-172-31-18-204.us-west-1.compute.internal))
We trace the source code down from sc.binaryFiles() to binaryFileRDD, but can
not find a quick fix. Please help accordingly.
> binaryFileRDD preferredLocations issue
> --------------------------------------
>
> Key: SPARK-13377
> URL: https://issues.apache.org/jira/browse/SPARK-13377
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 1.6.0
> Environment: EC2 cluster started with spark-ec2 script
> Reporter: Zhao Zhang
> Priority: Blocker
>
> I am using the sc.binaryFiles() interface to load a directory of small files
> into Spark. Each input file has two replicas in HDFS, as shown below:
> root@ip-172-31-18-231 python]$ ~/ephemeral-hdfs/bin/hdfs fsck
> /user/root/1.txt -files -blocks -locations
> Connecting to namenode via
> http://ec2-54-183-233-19.us-west-1.compute.amazonaws.com:50070
> FSCK started by root (auth:SIMPLE) from /172.31.18.231 for path
> /user/root/1.txt at Thu Feb 18 23:30:04 UTC 2016
> /user/root/1.txt 12 bytes, 1 block(s): OK
> 0. BP-1035722345-172.31.18.231-1455830537596:blk_7363655817569260238_1002
> len=12 repl=2 [172.31.18.204:50010, 172.31.30.137:50010]
> However, in Spark REPL, the preferredLocations() method only return one
> address instead of two:
> scala> val r = sc.binaryFiles("1.txt")
> r: org.apache.spark.rdd.RDD[(String,
> org.apache.spark.input.PortableDataStream)] = 1.txt BinaryFileRDD[1] at
> binaryFiles at <console>:21
> scala> r.partitions.map(r.preferredLocations(_))
> res1: Array[Seq[String]] =
> Array(WrappedArray(ip-172-31-18-204.us-west-1.compute.internal))
> We trace the source code down from sc.binaryFiles() to binaryFileRDD, but can
> not find a quick fix. Please help accordingly.
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