Hi You can use newAPIHadoopFile and use AvroInputFormat.
On Sun, Dec 6, 2015 at 4:59 AM, YaoPau <jonrgr...@gmail.com> wrote: > Here's what I'm currently trying: > > -------------------------------------- > I'm including --packages com.databricks:spark-avro_2.10:1.0.0 in my pyspark > call. This seems to work: > > Ivy Default Cache set to: /home/jrgregg/.ivy2/cache > The jars for the packages stored in: /home/jrgregg/.ivy2/jars > :: loading settings :: url = > > jar:file:/opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p894.568/jars/spark-assembly-1.3.0-cdh5.4.4-hadoop2.6.0-cdh5.4.4.jar!/org/apache/ivy/core/settings/ivysettings.xml > com.databricks#spark-avro_2.10 added as a dependency > :: resolving dependencies :: org.apache.spark#spark-submit-parent;1.0 > confs: [default] > found com.databricks#spark-avro_2.10;1.0.0 in central > found org.apache.avro#avro;1.7.6 in central > found org.codehaus.jackson#jackson-core-asl;1.9.13 in central > found org.codehaus.jackson#jackson-mapper-asl;1.9.13 in central > found com.thoughtworks.paranamer#paranamer;2.3 in central > found org.xerial.snappy#snappy-java;1.0.5 in central > found org.apache.commons#commons-compress;1.4.1 in central > found org.tukaani#xz;1.0 in central > found org.slf4j#slf4j-api;1.6.4 in central > :: resolution report :: resolve 629ms :: artifacts dl 22ms > :: modules in use: > com.databricks#spark-avro_2.10;1.0.0 from central in [default] > com.thoughtworks.paranamer#paranamer;2.3 from central in [default] > org.apache.avro#avro;1.7.6 from central in [default] > org.apache.commons#commons-compress;1.4.1 from central in [default] > org.codehaus.jackson#jackson-core-asl;1.9.13 from central in > [default] > org.codehaus.jackson#jackson-mapper-asl;1.9.13 from central in > [default] > org.slf4j#slf4j-api;1.6.4 from central in [default] > org.tukaani#xz;1.0 from central in [default] > org.xerial.snappy#snappy-java;1.0.5 from central in [default] > > --------------------------------------------------------------------- > | | modules || artifacts > | > | conf | number| search|dwnlded|evicted|| > number|dwnlded| > > --------------------------------------------------------------------- > | default | 9 | 0 | 0 | 0 || 9 | 0 > | > > --------------------------------------------------------------------- > :: retrieving :: org.apache.spark#spark-submit-parent > confs: [default] > 0 artifacts copied, 9 already retrieved (0kB/12ms) > > -------------------------------------- > > Then in my code I have: > > df.repartition(partitions).save(save_avro, "com.databricks.spark.avro") > > This results in: > > --------------------------------------------------------------------------- > Py4JJavaError Traceback (most recent call last) > <ipython-input-33-8a02829528e8> in <module>() > ----> 1 schemaBirf.repartition(partitions).save(save_avro, > "com.databricks.spark.avro") > > /opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/dataframe.py in > save(self, path, source, mode, **options) > 215 joptions = MapConverter().convert(options, > 216 > self._sc._gateway._gateway_client) > --> 217 self._jdf.save(source, jmode, joptions) > 218 > 219 @property > > > /opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py > in __call__(self, *args) > 536 answer = self.gateway_client.send_command(command) > 537 return_value = get_return_value(answer, > self.gateway_client, > --> 538 self.target_id, self.name) > 539 > 540 for temp_arg in temp_args: > > > /opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py > in get_return_value(answer, gateway_client, target_id, name) > 298 raise Py4JJavaError( > 299 'An error occurred while calling {0}{1}{2}.\n'. > --> 300 format(target_id, '.', name), value) > 301 else: > 302 raise Py4JError( > > Py4JJavaError: An error occurred while calling o127.save. > : java.lang.NoClassDefFoundError: > org/apache/spark/sql/sources/HadoopFsRelationProvider > at java.lang.ClassLoader.defineClass1(Native Method) > at java.lang.ClassLoader.defineClass(ClassLoader.java:800) > at > java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142) > at java.net.URLClassLoader.defineClass(URLClassLoader.java:449) > at java.net.URLClassLoader.access$100(URLClassLoader.java:71) > at java.net.URLClassLoader$1.run(URLClassLoader.java:361) > at java.net.URLClassLoader$1.run(URLClassLoader.java:355) > at java.security.AccessController.doPrivileged(Native Method) > at java.net.URLClassLoader.findClass(URLClassLoader.java:354) > at java.lang.ClassLoader.loadClass(ClassLoader.java:425) > at java.lang.ClassLoader.loadClass(ClassLoader.java:358) > at > > org.apache.spark.sql.sources.ResolvedDataSource$.lookupDataSource(ddl.scala:265) > at > org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:305) > at org.apache.spark.sql.DataFrame.save(DataFrame.scala:1123) > at org.apache.spark.sql.DataFrame.save(DataFrame.scala:1108) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) > at > py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) > at py4j.Gateway.invoke(Gateway.java:259) > at > py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:207) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.ClassNotFoundException: > org.apache.spark.sql.sources.HadoopFsRelationProvider > at java.net.URLClassLoader$1.run(URLClassLoader.java:366) > at java.net.URLClassLoader$1.run(URLClassLoader.java:355) > at java.security.AccessController.doPrivileged(Native Method) > at java.net.URLClassLoader.findClass(URLClassLoader.java:354) > at java.lang.ClassLoader.loadClass(ClassLoader.java:425) > at java.lang.ClassLoader.loadClass(ClassLoader.java:358) > ... 26 more > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/sparkavro-for-PySpark-1-3-tp25561p25574.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > -- Best Regards, Ayan Guha