how about add this flag when launch slave
 --executor_environment_variables='{"HADOOP_HOME": "/opt/hadoop-2.6.0"}' ?

On Wed, Nov 4, 2015 at 5:13 PM, Du, Fan <[email protected]> wrote:

>
>
> On 2015/11/4 17:09, haosdent wrote:
>
>> I notice
>> ```
>> "user":"root"
>> ```
>> Do you make sure could execute `hadoop version` under root?
>>
>
>
> [root@tylersburg spark-1.5.1-bin-hadoop2.6]# whoami
> root
> [root@tylersburg spark-1.5.1-bin-hadoop2.6]# hadoop version
> Hadoop 2.6.0
> Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r
> e3496499ecb8d220fba99dc5ed4c99c8f9e33bb1
> Compiled by jenkins on 2014-11-13T21:10Z
> Compiled with protoc 2.5.0
> From source with checksum 18e43357c8f927c0695f1e9522859d6a
> This command was run using
> /opt/hadoop-2.6.0/share/hadoop/common/hadoop-common-2.6.0.jar
>
> [root@tylersburg spark-1.5.1-bin-hadoop2.6]# ls -hl
> /opt/hadoop-2.6.0/bin/hadoop
> -rwxr-xr-x. 1 root root 5.4K Nov  3 08:36 /opt/hadoop-2.6.0/bin/hadoop
>
>
>
> On Wed, Nov 4, 2015 at 4:56 PM, Du, Fan <[email protected]
>> <mailto:[email protected]>> wrote:
>>
>>
>>
>>     On 2015/11/4 16:40, Tim Chen wrote:
>>
>>         What OS are you running this with?
>>
>>         And I assume if you run /bin/sh and try to run hadoop it can be
>>         found in
>>         your PATH as well?
>>
>>
>>     I'm using CentOS-7.2
>>
>>     # /bin/sh hadoop version
>>     Hadoop 2.6.0
>>     Subversion https://git-wip-us.apache.org/repos/asf/hadoop.git -r
>>     e3496499ecb8d220fba99dc5ed4c99c8f9e33bb1
>>     Compiled by jenkins on 2014-11-13T21:10Z
>>     Compiled with protoc 2.5.0
>>     >From source with checksum 18e43357c8f927c0695f1e9522859d6a
>>     This command was run using
>>     /opt/hadoop-2.6.0/share/hadoop/common/hadoop-common-2.6.0.jar
>>
>>
>>
>>         Tim
>>
>>         On Wed, Nov 4, 2015 at 12:34 AM, Du, Fan <[email protected]
>>         <mailto:[email protected]>
>>         <mailto:[email protected] <mailto:[email protected]>>> wrote:
>>
>>              Hi Mesos experts
>>
>>              I setup a small mesos cluster with 1 master and 6 slaves,
>>              and deploy hdfs on the same cluster topology, both with
>>         root user role.
>>
>>              #cat spark-1.5.1-bin-hadoop2.6/conf/spark-env.sh
>>              export MESOS_NATIVE_JAVA_LIBRARY=/usr/local/lib/libmesos.so
>>              export
>>
>>
>> JAVA_HOME=/usr/lib/jvm/java-1.7.0-openjdk-1.7.0.91-2.6.2.1.el7_1.x86_64/jre/
>>              export
>>         SPARK_EXECUTOR_URI=hdfs://test/spark-1.5.1-bin-hadoop2.6.tgz
>>
>>              When I run a simple SparkPi test
>>              #export MASTER=mesos://Mesos_Master_IP:5050
>>              #spark-1.5.1-bin-hadoop2.6/bin/run-example SparkPi 10000
>>
>>              I got this on slaves:
>>
>>              I1104 22:24:02.238471 14518 fetcher.cpp:414] Fetcher Info:
>>
>>
>> {"cache_directory":"\/tmp\/mesos\/fetch\/slaves\/556b49c1-7e6a-4f99-b320-c3f0c849e836-S6\/root","items":[{"action":"BYPASS_CACHE","uri":{"extract":true,"value":"hdfs:\/\/test\/spark-1.5.1-bin-hadoop2.6.tgz"}}],"sandbox_directory":"\/ws\/mesos\/slaves\/556b49c1-7e6a-4f99-b320-c3f0c849e836-S6\/frameworks\/556b49c1-7e6a-4f99-b320-c3f0c849e836-0003\/executors\/556b49c1-7e6a-4f99-b320-c3f0c849e836-S6\/runs\/9ec70f41-67d5-4a95-999f-933f3aa9e261","user":"root"}
>>              I1104 22:24:02.240910 14518 fetcher.cpp:369] Fetching URI
>>              'hdfs://test/spark-1.5.1-bin-hadoop2.6.tgz'
>>              I1104 22:24:02.240931 14518 fetcher.cpp:243] Fetching
>>         directly into
>>              the sandbox directory
>>              I1104 22:24:02.240952 14518 fetcher.cpp:180] Fetching URI
>>              'hdfs://test/spark-1.5.1-bin-hadoop2.6.tgz'
>>              E1104 22:24:02.245264 14518 shell.hpp:90] Command 'hadoop
>>         version
>>              2>&1' failed; this is the output:
>>              sh: hadoop: command not found
>>              Failed to fetch 'hdfs://test/spark-1.5.1-bin-hadoop2.6.tgz':
>>              Skipping fetch with Hadoop client: Failed to execute
>>         'hadoop version
>>              2>&1'; the command was either not found or exited with a
>>         non-zero
>>              exit status: 127
>>              Failed to synchronize with slave (it's probably exited)
>>
>>
>>              As for "sh: hadoop: command not found", it indicates when
>> mesos
>>              executes "hadoop version" command,
>>              it cannot find any valid hadoop command, but actually when
>>         I log
>>              into the slave, "hadoop vesion"
>>              runs well, because I update hadoop path into PATH env.
>>
>>              cat ~/.bashrc
>>              export
>>
>>
>> JAVA_HOME=/usr/lib/jvm/java-1.7.0-openjdk-1.7.0.91-2.6.2.1.el7_1.x86_64/jre/
>>              export HADOOP_PREFIX=/opt/hadoop-2.6.0
>>              export HADOOP_HOME=$HADOOP_PREFIX
>>              export HADOOP_COMMON_HOME=$HADOOP_PREFIX
>>              export HADOOP_CONF_DIR=$HADOOP_PREFIX/etc/hadoop
>>              export HADOOP_HDFS_HOME=$HADOOP_PREFIX
>>              export HADOOP_MAPRED_HOME=$HADOOP_PREFIX
>>              export HADOOP_YARN_HOME=$HADOOP_PREFIX
>>              export PATH=$PATH:$HADOOP_PREFIX/sbin:$HADOOP_PREFIX/bin
>>
>>              I also try to set hadoop_home when launching mesos-slave,
>>         hmm, no
>>              luck, the slave
>>              complains it can find JAVA_HOME env when executing "hadoop
>>         version"
>>
>>              Finally I check the Mesos code where this error happens, it
>>         looks
>>              quite straight forward.
>>
>>                ./src/hdfs/hdfs.hpp
>>                44 // HTTP GET on hostname:port and grab the information
>>         in the
>>                45 // <title>...</title> (this is the best hack I can
>>         think of to get
>>                46 // 'fs.default.name <http://fs.default.name>
>>         <http://fs.default.name>' given the tools
>>
>>              available).
>>                47 struct HDFS
>>                48 {
>>                49   // Look for `hadoop' first where proposed,
>>         otherwise, look for
>>                50   // HADOOP_HOME, otherwise, assume it's on the PATH.
>>                51   explicit HDFS(const std::string& _hadoop)
>>                52     : hadoop(os::exists(_hadoop)
>>                53              ? _hadoop
>>                54              : (os::getenv("HADOOP_HOME").isSome()
>>                55                 ?
>>         path::join(os::getenv("HADOOP_HOME").get(),
>>              "bin/hadoop")
>>                56                 : "hadoop")) {}
>>                57
>>                58   // Look for `hadoop' in HADOOP_HOME or assume it's
>>         on the PATH.
>>                59   HDFS()
>>                60     : hadoop(os::getenv("HADOOP_HOME").isSome()
>>                61              ?
>> path::join(os::getenv("HADOOP_HOME").get(),
>>              "bin/hadoop")
>>                62              : "hadoop") {}
>>                63
>>                64   // Check if hadoop client is available at the path
>>         that was set.
>>                65   // This can be done by executing `hadoop version`
>>         command and
>>                66   // checking for status code == 0.
>>                67   Try<bool> available()
>>                68   {
>>                69     Try<std::string> command = strings::format("%s
>>         version",
>>              hadoop);
>>                70
>>                71     CHECK_SOME(command);
>>                72
>>                73     // We are piping stderr to stdout so that we can
>>         see the
>>              error (if
>>                74     // any) in the logs emitted by `os::shell()` in
>>         case of
>>              failure.
>>                75     Try<std::string> out = os::shell(command.get() + "
>>         2>&1");
>>                76
>>                77     if (out.isError()) {
>>                78       return Error(out.error());
>>                79     }
>>                80
>>                81     return true;
>>                82   }
>>
>>              It puzzled me for a while, am I missing something obviously?
>>              Thanks in advance.
>>
>>
>>
>>
>>
>> --
>> Best Regards,
>> Haosdent Huang
>>
>


-- 
Best Regards,
Haosdent Huang

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