get quite a lot error when install spark - apache-spark

Python 3.5.2 |Anaconda 4.1.1 (x86_64)| (default, Jul 2 2016, 17:52:12)
[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
17/01/08 15:27:58 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0
17/01/08 15:28:03 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/01/08 15:28:08 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:526)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:236)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.GatewayConnection.run(GatewayConnection.java:214)
java.lang.Thread.run(Thread.java:745)
17/01/08 15:28:08 WARN SparkContext: Support for Java 7 is deprecated as of Spark 2.0.0
Traceback (most recent call last):
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/shell.py", line 43, in <module>
spark = SparkSession.builder\
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 307, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 179, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 246, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.ExceptionInInitializerError
at org.apache.spark.SparkContext.<init>(SparkContext.scala:397)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: Chenhuis-MacBook-Pro.local: Chenhuis-MacBook-Pro.local: nodename nor servname provided, or not known
at java.net.InetAddress.getLocalHost(InetAddress.java:1475)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:870)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:863)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:863)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:920)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:920)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:920)
at org.apache.spark.internal.config.package$.<init>(package.scala:189)
at org.apache.spark.internal.config.package$.<clinit>(package.scala)
... 13 more
Caused by: java.net.UnknownHostException: Chenhuis-MacBook-Pro.local: nodename nor servname provided, or not known
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:901)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1295)
at java.net.InetAddress.getLocalHost(InetAddress.java:1471)
... 22 more
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/shell.py", line 47, in <module>
spark = SparkSession.builder.getOrCreate()
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 307, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 179, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/pyspark/context.py", line 246, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/Users/ChenhuiChen/Downloads/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.internal.config.package$
at org.apache.spark.SparkContext.<init>(SparkContext.scala:397)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
I download the Spark from website, couldn't handle it properly in my Computer.... I didn't do anything and just open /bin/pyspark.
Search online long time for solution and no result.
Do I need to "build the Spark JARs"?

I deleted the JAVA 7 (it is really bad idea), and install java 8..
There are steps how to delete the java.
Trouble installing Pyspark

Related

java.lang.NoSuchMethodError when reading an avro file using PySpark

I'm trying to load an avro file using PySpark running on Dataproc Job:
spark_session.read.format("avro").load("/path/to/avro")
I'm getting de flowing error:
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 166, in load
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o259.load.
: java.lang.NoSuchMethodError: org.apache.spark.sql.internal.SQLConf.avroCompressionCodec()Ljava/lang/String;
at org.apache.spark.sql.avro.AvroOptions$$anonfun$5.apply(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions$$anonfun$5.apply(AvroOptions.scala:80)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:80)
at org.apache.spark.sql.avro.AvroOptions.<init>(AvroOptions.scala:34)
at org.apache.spark.sql.avro.AvroFileFormat.inferSchema(AvroFileFormat.scala:60)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:203)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:203)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:202)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:393)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:239)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:227)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:174)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Versions:
PySpark: 2.3.4
Spark: 2.3.4
Dataproc: 1.3.56-debian9
Avro: org.apache.spark:spark-avro_2.11:2.4.5
You are seeing this error because you are using spark-avro library for Spark 2.4.5 with Spark 2.3.4, you should use Dataproc 1.4 that has Spark 2.4.5 to solve this issue.

PySpark - SparkContext: Error initializing SparkContext File does not exist

I have small piece code in PySpark, but I keep getting errors. I'm new to this so im not sure where to start.
from pyspark import SparkContext, SparkConf
conf = SparkConf().setAppName("Open json").setMaster("local[3]")
sc = SparkContext(conf = conf)
print("Done")
I ran this in cmd with the command :
spark-submit .\PySpark\Open.py
I then get the following error statement:
C:\Users\Abdullah\Documents\Master Thesis>spark-submit
.\PySpark\Open.py
18/06/30 15:21:58 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-Java classes where applicable
18/06/30 15:22:01 ERROR SparkContext: Error initializing SparkContext. java.io.FileNotFoundException: File file:/C:/Users/Abdullah/Documents/Master%20Thesis/PySpark/Open.py does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.spark.SparkContext.addFile(SparkContext.scala:1529)
at org.apache.spark.SparkContext.addFile(SparkContext.scala:1499)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:461)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:461)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:461)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
at java.lang.reflect.Constructor.newInstance(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Unknown Source) Traceback (most recent call last): File "C:/Users/Abdullah/Documents/Master Thesis/./PySpark/Open.py", line 12, i n <module>
sc = SparkContext(conf = conf) File "C:\apache-spark\spark-2.2.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark
\context.py", line 118, in __init__ File
"C:\apache-spark\spark-2.2.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark
\context.py", line 180, in _do_init File
"C:\apache-spark\spark-2.2.0-bin-hadoop2.7\python\lib\pyspark.zip\pyspark
\context.py", line 282, in _initialize_context File
"C:\apache-spark\spark-2.2.0-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip
\py4j\java_gateway.py", line 1525, in __call__ File
"C:\apache-spark\spark-2.2.0-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip
\py4j\protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
None.org.apache.spa rk.api.java.JavaSparkContext. :
java.io.FileNotFoundException: File
file:/C:/Users/Abdullah/Documents/Master%2 0Thesis/PySpark/Open.py
does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLo
calFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.spark.SparkContext.addFile(SparkContext.scala:1529)
at org.apache.spark.SparkContext.addFile(SparkContext.scala:1499)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:461)
at org.apache.spark.SparkContext$$anonfun$13.apply(SparkContext.scala:461)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:461)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
at java.lang.reflect.Constructor.newInstance(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Unknown Source)
As per your logs you are trying to run Apache Spark on window machine.
You need to add win util and add path in env variable
Download the executable winutils from the Hortonworks repository, or from Amazon AWS platform or github winutils.
Create a directory where you place the executable winutils.exe. For example, C:\SparkDev\x64. Add the environment variable %HADOOP_HOME% which points to this directory, then add %HADOOP_HOME%\bin to PATH.

pyspark SparkContext issue "Another SparkContext is being constructed"

I installed Spark on my EC2 instance following this tutorial:
https://sparkour.urizone.net/recipes/installing-ec2/#03
but when I try to start pyspark shell, I get this error:
"Another SparkContext is being constructed"
Here is the full exception:
[ec2-user#ip-10-0-0-153 ~]$ pyspark
Python 2.7.12 (default, Sep 1 2016, 22:14:00)
[GCC 4.8.3 20140911 (Red Hat 4.8.3-9)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
17/08/22 11:46:16 WARN spark.SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:423)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:236)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.GatewayConnection.run(GatewayConnection.java:214)
java.lang.Thread.run(Thread.java:748)
Traceback (most recent call last):
File "/opt/spark/python/pyspark/shell.py", line 54, in <module>
spark = SparkSession.builder.getOrCreate()
File "/opt/spark/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/opt/spark/python/pyspark/context.py", line 334, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/opt/spark/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/opt/spark/python/pyspark/context.py", line 180, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/opt/spark/python/pyspark/context.py", line 273, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/opt/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/opt/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.internal.config.package$
at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:546)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:373)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
I googled a lot and tried everything with no solution. I used this code to get a list of all running Contexts:
>>> from pyspark import SparkConf
>>> conf = SparkConf()
>>> conf.getAll()
And I got this:
[(u'spark.master', u'local[*]'), (u'spark.submit.deployMode', u'client'), (u'spark.app.name', u'PySparkShell')]
Any ideas how can I solve this issue?
I encountered the same error while trying to run PySpark in Jupyter Notebook (on macOS). The problem seems related to a Java version incompatibility and it only works with Java 8. I fixed the issue by changing the java version:
check java (JVM) installation versions. If you don't have java 8 installed, install it following instructions for your OS.
/usr/libexec/java_home -V
change the version to Java 8 (it is enough to do it for the current session)
export JAVA_HOME=/usr/libexec/java_home -v 1.8....
check:
java -version
run PySpark. that should solve the issue.
I solved the problem by setting the SPARK_MASTER_HOST=127.0.0.1 in spark-env.sh file
Navigate to Spark config folder:
cd $SPARK_HOME/conf
Open spark-env.sh file using an editor (is this file does not exist copy the spark-env-template file):
vi spark-env.sh
edit the SPARK_LOCAL_IP value to your machine IP (e.g. 205.210.42.205) :
SPARK_LOCAL_IP="205.210.42.205"
Hope this helps.

Adding S3DistCp to PySpark

I'm trying to add S3DistCp to my local, standalone Spark install. I've downloaded S3DistCp:
aws s3 cp s3://elasticmapreduce/libs/s3distcp/1.latest/s3distcp.jar .
And the AWS SDK as well:
wget http://sdk-for-java.amazonwebservices.com/latest/aws-java-sdk.zip
I extracted the AWS SDK:
unzip aws-java-sdk.zip
Then added s3distcp.jar to my spark-defaults.conf:
spark.driver.extraClassPath /Users/mark.miller/.ivy2/jars/s3distcp.jar
spark.executor.extraClassPath /Users/mark.miller/.ivy2/jars/s3distcp.jar
Then I added the AWS SDK and all it's dependencies to $LIBJARS and $HADOOP_CLASSPATH
export $LIBJARS=/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/lib/aws-java-sdk-1.11.86.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/aspectjrt-1.8.2.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/aspectjweaver.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/commons-codec-1.9.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/commons-logging-1.1.3.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/freemarker-2.3.9.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/httpclient-4.5.2.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/httpcore-4.4.4.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/ion-java-1.0.1.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/jackson-annotations-2.6.0.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/jackson-core-2.6.6.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/jackson-databind-2.6.6.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/jackson-dataformat-cbor-2.6.6.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/javax.mail-api-1.4.6.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/jmespath-java-1.11.86.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/joda-time-2.8.1.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/json-path-2.2.0.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/slf4j-api-1.7.16.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/spring-beans-3.0.7.RELEASE.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/spring-context-3.0.7.RELEASE.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/spring-core-3.0.7.RELEASE.jar,/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/spring-test-3.0.7.RELEASE.jar
export HADOOP_CLASSPATH=$LIBJARS
But when I try to start the pyspark shell:
$ pyspark
I get the following error:
Python 2.7.13 (default, Dec 18 2016, 07:03:39)
[GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.42.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
17/02/06 17:48:50 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/02/06 17:48:50 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:423)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:236)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.GatewayConnection.run(GatewayConnection.java:214)
java.lang.Thread.run(Thread.java:745)
Traceback (most recent call last):
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/shell.py", line 47, in <module>
spark = SparkSession.builder.getOrCreate()
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/context.py", line 307, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/context.py", line 118, in __init__
conf, jsc, profiler_cls)
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/context.py", line 179, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/pyspark/context.py", line 246, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1401, in __call__
File "/usr/local/Cellar/apache-spark/2.1.0/libexec/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.NoClassDefFoundError: Could not initialize class com.google.common.cache.LocalCache
at com.google.common.cache.LocalCache$LocalLoadingCache.<init>(LocalCache.java:4867)
at com.google.common.cache.CacheBuilder.build(CacheBuilder.java:785)
at org.apache.hadoop.security.Groups.<init>(Groups.java:101)
at org.apache.hadoop.security.Groups.<init>(Groups.java:74)
at org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:303)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:284)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:261)
at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:791)
at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:761)
at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:634)
at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2373)
at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2373)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2373)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:295)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
If I remove s3distcp.jar from spark-defaults.conf the error goes away. There just doesn't seem to be much documentation on how to deploy this since it's provided as part of EMR.
I was able to get this working by passing --driver-class-path to pyspark:
$ pyspark \
--driver-class-path \
~/Downloads/aws-java-sdk-1.11.86/lib/aws-java-sdk-1.11.86.jar:\
~/Downloads/aws-java-sdk-1.11.86/third-party/lib/*
To set this up in spark-defaults.conf I had to do it this way:
spark.jars /Users/mark.miller/.ivy2/jars/s3distcp.jar
spark.driver.extraClassPath /Users/mark.miller/Downloads/aws-java-sdk-1.11.86/lib/aws-java-sdk-1.11.86.jar:/Users/mark.miller/Downloads/aws-java-sdk-1.11.86/third-party/lib/*
I also learned that spark.executor.extraClassPath is only needed for backwards-compatibility with older versions of spark (https://spark.apache.org/docs/latest/configuration.html#runtime-environment)

Error trying to run pySpark on my own machine

I want to experiment with running Spark on my own Mac (version 10.11.6). I downloaded Spark 2.0.0 and then tried to run ./bin/pyspark.
However, I'm getting the following errors:
Python 2.7.12 |Anaconda custom (x86_64)| (default, Jul 2 2016, 17:43:17)
[GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2336.11.00)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/09/13 15:27:47 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/09/13 15:27:47 ERROR SparkContext: Error initializing SparkContext.
java.net.UnknownHostException: huey: huey: nodename nor servname provided, or not known
at java.net.InetAddress.getLocalHost(InetAddress.java:1473)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:846)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:839)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:839)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:896)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:388)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:240)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:211)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: huey: nodename nor servname provided, or not known
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:901)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1293)
at java.net.InetAddress.getLocalHost(InetAddress.java:1469)
... 20 more
16/09/13 15:27:47 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:526)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:240)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:236)
py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
py4j.GatewayConnection.run(GatewayConnection.java:211)
java.lang.Thread.run(Thread.java:745)
16/09/13 15:27:47 ERROR SparkContext: Error initializing SparkContext.
java.net.UnknownHostException: huey: huey: nodename nor servname provided, or not known
at java.net.InetAddress.getLocalHost(InetAddress.java:1473)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:846)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:839)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:839)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:896)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:388)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:240)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:211)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: huey: nodename nor servname provided, or not known
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:901)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1293)
at java.net.InetAddress.getLocalHost(InetAddress.java:1469)
... 20 more
Traceback (most recent call last):
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/shell.py", line 47, in <module>
spark = SparkSession.builder.getOrCreate()
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/sql/session.py", line 169, in getOrCreate
sc = SparkContext.getOrCreate(sparkConf)
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/context.py", line 294, in getOrCreate
SparkContext(conf=conf or SparkConf())
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/context.py", line 115, in __init__
conf, jsc, profiler_cls)
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/context.py", line 168, in _do_init
self._jsc = jsc or self._initialize_context(self._conf._jconf)
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/pyspark/context.py", line 233, in _initialize_context
return self._jvm.JavaSparkContext(jconf)
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py", line 1183, in __call__
File "/Users/hkwik/Downloads/spark-2.0.0-bin-hadoop2.7/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py", line 312, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.net.UnknownHostException: huey: huey: nodename nor servname provided, or not known
at java.net.InetAddress.getLocalHost(InetAddress.java:1473)
at org.apache.spark.util.Utils$.findLocalInetAddress(Utils.scala:846)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress$lzycompute(Utils.scala:839)
at org.apache.spark.util.Utils$.org$apache$spark$util$Utils$$localIpAddress(Utils.scala:839)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at org.apache.spark.util.Utils$$anonfun$localHostName$1.apply(Utils.scala:896)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.localHostName(Utils.scala:896)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:388)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:240)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:236)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:211)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: huey: nodename nor servname provided, or not known
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$1.lookupAllHostAddr(InetAddress.java:901)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1293)
at java.net.InetAddress.getLocalHost(InetAddress.java:1469)
... 20 more
I tried setting SPARK_LOCAL_IP to localhost to no avail. Any ideas?
It seems like adding a line to /etc/hosts mapping 127.0.0.1 to huey fixes the issue.

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