py4j.protocol.Py4JJavaError: Class org.apache.hadoop.fs.azure.NativeAzureFileSystem not found - apache-spark

I am trying to read the csv file from pyspark, while reading it is throwing
py4j.protocol.Py4JJavaError: An error
occurred while calling o30.csv. : java.lang.RuntimeException:
java.lang.ClassNotFoundException: Class
org.apache.hadoop.fs.azure.NativeAzureFileSystem not found at
org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2595)
at
org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:3269)
at
org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3301)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)
at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3352)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3320)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:479) at
org.apache.hadoop.fs.Path.getFileSystem(Path.java:361) at
org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:46)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:376)
at
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:326)
at
org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:308)
at scala.Option.getOrElse(Option.scala:189) at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:308)
at
org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:796)
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) Caused by:
java.lang.ClassNotFoundException: Class
org.apache.hadoop.fs.azure.NativeAzureFileSystem not found at
org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2499)
at
org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2593)
... 25 more
Process finished with exit code 1
Error, So could anyone please suggest me where am i doing wrong in below code.
from pyspark.sql import SparkSession
SECRET_ACCESS_KEY = "XXXXXXXXXXX"
STORAGE_NAME = "azuresvkstorageaccount11123"
CONTAINER = "inputstorage1"
FILE_NAME = "movies.csv"
spark = SparkSession.builder.appName("Azure_PySpark_Connectivity")\
.master("local[*]")\
.getOrCreate()
fs_acc_key = "fs.azure.account.key." + STORAGE_NAME + ".blob.core.windows.net"
spark.conf.set("spark.hadoop.fs.wasb.impl", "org.apache.hadoop.fs.azure.NativeAzureFileSystem")
spark.conf.set("fs.azure", "org.apache.hadoop.fs.azure.NativeAzureFileSystem")
spark.conf.set(fs_acc_key, SECRET_ACCESS_KEY)
file_path = "wasb://inputstorage1#azuresvkstorageaccount.blob.core.windows.net/movies.csv"
print(file_path)
Df = spark.read.csv(path=file_path,header=True,inferSchema=True) #Error Coming from this line it is unable to read the csv file
#Df.show(20,True)

I have figured out the problem, it is coming from maven jars, the solution is
Download hadoop-azure and azure-storage jars from the maven portal manually and copy these jars to spark/jars/. folder.
Do the same for the jetty-utils jar, add this jar to spark/jars/. folder
Then refresh and run the script again, it works perfectly.

Related

com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.BigQueryException: Connection reset

I'm trying to read a GBQ table using the below approach,
from pyspark.sql.functions import col, current_timestamp
def analyze(spark, config, query = None):
df = spark.read \
.format("bigquery") \
.load("projectName.dataset.tablename")
resultDf = df \
.filter(col('colName')=='123') \
.withColumn('processedTS',current_timestamp()) resultDf.write.mode('overwrite').option("header",True).csv("output/claims")
My spark-submit command is as follows,
spark-submit --name "ApplicationName" --master "local[2]" --deploy-mode "client" --jars jars/spark-bigquery-with-dependencies_2.12-0.25.0.jar,jars/netty-tcnative-2.0.52.Final.jar --verbose main.py --jobName jobnameToRun
Environment variable is set to point to the location where the key Json is located,
GOOGLE_APPLICATION_CREDENTIALS=/PATH_TO_KEY/file.json
When i submit my application I get the below error,
py4j.protocol.Py4JJavaError: An error occurred while calling o26.load.
: com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.BigQueryException: Connection reset
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.spi.v2.HttpBigQueryRpc.translate(HttpBigQueryRpc.java:115)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.spi.v2.HttpBigQueryRpc.getTable(HttpBigQueryRpc.java:299)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.BigQueryImpl$18.call(BigQueryImpl.java:778)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.BigQueryImpl$18.call(BigQueryImpl.java:775)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.gax.retrying.DirectRetryingExecutor.submit(DirectRetryingExecutor.java:103)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.RetryHelper.run(RetryHelper.java:76)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.RetryHelper.runWithRetries(RetryHelper.java:50)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.BigQueryImpl.getTable(BigQueryImpl.java:774)
at com.google.cloud.bigquery.connector.common.BigQueryClient.getTable(BigQueryClient.java:119)
at com.google.cloud.bigquery.connector.common.BigQueryClient.getReadTable(BigQueryClient.java:240)
at com.google.cloud.spark.bigquery.BigQueryRelationProvider.createRelationInternal(BigQueryRelationProvider.scala:76)
at com.google.cloud.spark.bigquery.BigQueryRelationProvider.createRelation(BigQueryRelationProvider.scala:45)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:188)
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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:210)
at java.net.SocketInputStream.read(SocketInputStream.java:141)
at sun.security.ssl.InputRecord.readFully(InputRecord.java:465)
at sun.security.ssl.InputRecord.read(InputRecord.java:503)
at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
at sun.net.www.protocol.https.HttpsClient.afterConnect(HttpsClient.java:559)
at sun.net.www.protocol.https.AbstractDelegateHttpsURLConnection.connect(AbstractDelegateHttpsURLConnection.java:185)
at sun.net.www.protocol.https.HttpsURLConnectionImpl.connect(HttpsURLConnectionImpl.java:162)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.http.javanet.NetHttpRequest.execute(NetHttpRequest.java:151)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.http.javanet.NetHttpRequest.execute(NetHttpRequest.java:84)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.http.HttpRequest.execute(HttpRequest.java:1012)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:514)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:455)
at com.google.cloud.spark.bigquery.repackaged.com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:565)
at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.spi.v2.HttpBigQueryRpc.getTable(HttpBigQueryRpc.java:297)
My system is uses Apple M1 Pro chip.
How can I resolve this issue?
I think the Issue is with --jars you are submitting Please submit jar with full path like "--jars /fullpath/first.jar,/fullpath/second.jar"

DB2 Connection with Pyspark local

I am trying to connect to db2 via pyspark, below is my connection string.
from pyspark import SparkConf, SparkContext, SQLContext
conf = SparkConf().setAppName("test").setMaster("local").set("spark.jars","\IBM\IBM_DATA_SERVER_DRIVER\java\db2jcc4.jar")
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
df = (sqlContext.read.format('jdbc')\
.option('url', 'jdbc:db2://********.COM:*****/*****')\
.option('driver', 'com.ibm.db2.jcc.DB2Driver')\
.option('dbtable', "(SELECT * FROM table.table limit 100) as t")\
.option('user', 'user')\
.option('password', 'password')).load()
However, I am getting an error as below
Py4JJavaError: An error occurred while calling o161.load.
: java.lang.ClassNotFoundException: com.ibm.db2.jcc.DB2Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:45)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$5.apply(JDBCOptions.scala:99)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$5.apply(JDBCOptions.scala:99)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:99)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:35)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:332)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:242)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:230)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:186)
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)
I have downloaded latest driver and have it specified.
Could you help me resolve this issue to connect to db2 via pyspark.
Try not specifying the driver. Putting the jar file for db2 in $SPARK_HOME/jars should be enough.
Also use SparkSession to read input files. SQLContext is deprecated.

Pyspark error - Compression codec com.hadoop.compression.lzo.LzoCodec not found on AWS EMR

Even though the compress-lzf-1.0.3.jar is present in spark/jars, I am unable to get rid of this error.
Here is what i am trying to do:
Create a df schema from a list of column names
def get_schema(column_names):
schema = StructType([StructField(c, StringType(), True) for c in column_names.split("|")])
return schema
Then I am trying to use the schema in a DF, where in_schema is the df schema
if len(df.take(1)) != 0:
df = spark.createDataFrame(df, in_schema)
Is there anything else that I am missing here?
py4j.protocol.Py4JJavaError: An error occurred while calling o45.partitions.
: java.lang.RuntimeException: Error in configuring object
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:112)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:78)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:136)
at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:187)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:61)
at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:45)
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:214)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.reflect.InvocationTargetException
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 org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
... 26 more
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found.
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:139)
at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:180)
at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
... 31 more
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2273)
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:132)
... 33 more
The issue was resolved by using the below properties.
spark.executor.extraClassPath /etc/hadoop/conf:/etc/hive/conf:/usr/lib/hadoop-lzo/lib/*:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*
spark.driver.extraClassPath /etc/hadoop/conf:/etc/hive/conf:/usr/lib/hadoop-lzo/lib/*:/usr/share/aws/aws-java-sdk/*:/usr/share/aws/emr/emrfs/conf:/usr/share/aws/emr/emrfs/lib/*:/usr/share/aws/emr/emrfs/auxlib/*

query apache drill form within apache spark

I am querying Apache drill from within apache spark. My question is, how to send sql commands other than select * from from spark to drill. By default, spark is sending the queries inside select * from. Also, when I am querying schema other than dfs, I am getting NullPointerException. Please help!
My spark version is 2.2.0
Here are my codes:
1. schema = dfs:
dataframe_mysql = spark.read.format("jdbc").option("url", "jdbc:drill:zk=%s;schema=%s;" % (foreman,schema)).option("driver","org.apache.drill.jdbc.Driver").option("dbtable","\"/user/titanic_data/test.csv\"").load()
Schema = MySQL
dataframe_mysql = spark.read.format("jdbc").option("url", "jdbc:drill:zk=%s;schema=MySQL;" % (foreman)).option("driver","org.apache.drill.jdbc.Driver").option("dbtable","MySQL.\"spark3\"").load()
This is the complete error:
Name: org.apache.toree.interpreter.broker.BrokerException
Message: Py4JJavaError: An error occurred while calling o40.load.
: java.sql.SQLException: Failed to create prepared statement: SYSTEM ERROR: NullPointerException
[Error Id: d1e4b310-f4df-4e7c-90ae-983cc5c89f94 on inpunpclx1825e.kih.kmart.com:31010]
at org.apache.drill.jdbc.impl.DrillJdbc41Factory.newServerPreparedStatement(DrillJdbc41Factory.java:147)
at org.apache.drill.jdbc.impl.DrillJdbc41Factory.newPreparedStatement(DrillJdbc41Factory.java:108)
at org.apache.drill.jdbc.impl.DrillJdbc41Factory.newPreparedStatement(DrillJdbc41Factory.java:50)
at oadd.org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:278)
at org.apache.drill.jdbc.impl.DrillConnectionImpl.prepareStatement(DrillConnectionImpl.java:389)
at oadd.org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:119)
at org.apache.drill.jdbc.impl.DrillConnectionImpl.prepareStatement(DrillConnectionImpl.java:422)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:60)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:113)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:47)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:306)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
(<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError('An error occurred while calling o40.load.\n', JavaObject id=o41), <traceback object at 0x7f00106d6488>)
StackTrace: org.apache.toree.interpreter.broker.BrokerState$$anonfun$markFailure$1.apply(BrokerState.scala:163)
org.apache.toree.interpreter.broker.BrokerState$$anonfun$markFailure$1.apply(BrokerState.scala:163)
scala.Option.foreach(Option.scala:257)
org.apache.toree.interpreter.broker.BrokerState.markFailure(BrokerState.scala:162)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:498)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
py4j.Gateway.invoke(Gateway.java:280)
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
py4j.commands.CallCommand.execute(CallCommand.java:79)
py4j.GatewayConnection.run(GatewayConnection.java:214)
java.lang.Thread.run(Thread.java:748)
I have changed the default drill quote from `` to "" so that there won't be any quoting identifier issue between spark and drill.

Why does Spark report "java.net.URISyntaxException: Relative path in absolute URI" when working with DataFrames?

I am running Spark locally on a Windows machine. I was able to launch the spark shell successfully and also read in text files as RDDs. I was also able to follow along the various online tutorials on this subject and was able to perform various operations on the RDDs.
However, when I try to convert an RDD into a DataFrame I am getting an error. This is what I am doing:
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
import sqlContext.implicits._
//convert rdd to df
val df = rddFile.toDF()
This code generates a long series of error messages that seem to relate to the following one:
Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
at org.apache.hadoop.fs.Path.initialize(Path.java:205)
at org.apache.hadoop.fs.Path.<init>(Path.java:171)
at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:600)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:199)
at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
... 85 more
Caused by: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
at java.net.URI.checkPath(URI.java:1823)
at java.net.URI.<init>(URI.java:745)
at org.apache.hadoop.fs.Path.initialize(Path.java:202)
... 96 more
The entire stack trace follows.
16/08/16 12:36:20 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/08/16 12:36:20 WARN Hive: Failed to access metastore. This class should not accessed in runtime.
org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1236)
at org.apache.hadoop.hive.ql.metadata.Hive.reloadFunctions(Hive.java:174)
at org.apache.hadoop.hive.ql.metadata.Hive.<clinit>(Hive.java:166)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:503)
at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:171)
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 org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263)
at org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
at org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
at org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:46)
at org.apache.spark.sql.hive.HiveSharedState.externalCatalog(HiveSharedState.scala:45)
at org.apache.spark.sql.hive.HiveSessionState.catalog$lzycompute(HiveSessionState.scala:50)
at org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:48)
at org.apache.spark.sql.hive.HiveSessionState$$anon$1.<init>(HiveSessionState.scala:63)
at org.apache.spark.sql.hive.HiveSessionState.analyzer$lzycompute(HiveSessionState.scala:63)
at org.apache.spark.sql.hive.HiveSessionState.analyzer(HiveSessionState.scala:62)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
at org.apache.spark.sql.SparkSession.baseRelationToDataFrame(SparkSession.scala:382)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:143)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:401)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:342)
at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:24)
at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:29)
at $line14.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:31)
at $line14.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:33)
at $line14.$read$$iw$$iw$$iw$$iw.<init>(<console>:35)
at $line14.$read$$iw$$iw$$iw.<init>(<console>:37)
at $line14.$read$$iw$$iw.<init>(<console>:39)
at $line14.$read$$iw.<init>(<console>:41)
at $line14.$read.<init>(<console>:43)
at $line14.$read$.<init>(<console>:47)
at $line14.$read$.<clinit>(<console>)
at $line14.$eval$.$print$lzycompute(<console>:7)
at $line14.$eval$.$print(<console>:6)
at $line14.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:415)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
at org.apache.spark.repl.Main$.doMain(Main.scala:68)
at org.apache.spark.repl.Main$.main(Main.scala:51)
at org.apache.spark.repl.Main.main(Main.scala)
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 org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1523)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3005)
at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3024)
at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1234)
... 74 more
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1521)
... 80 more
Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
at org.apache.hadoop.fs.Path.initialize(Path.java:205)
at org.apache.hadoop.fs.Path.<init>(Path.java:171)
at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:600)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:199)
at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:74)
... 85 more
Caused by: java.net.URISyntaxException: Relative path in absolute URI: file:C:/Users/spark/spark-warehouse
at java.net.URI.checkPath(URI.java:1823)
at java.net.URI.<init>(URI.java:745)
at org.apache.hadoop.fs.Path.initialize(Path.java:202)
... 96 more
It's the SPARK-15565 issue in Spark 2.0 on Windows with a simple solution (that appears to be part of Spark's codebase that may soon be released as 2.0.2 or 2.1.0).
The solution in Spark 2.0.0 is to set spark.sql.warehouse.dir to some properly-referenced directory, say file:///c:/Spark/spark-2.0.0-bin-hadoop2.7/spark-warehouse that uses /// (triple slashes).
Start spark-shell with --conf argument as follows:
spark-shell --conf spark.sql.warehouse.dir=file:///c:/tmp/spark-warehouse
Or create a SparkSession in your Spark application using the new fluent builder pattern as follows:
import org.apache.spark.sql.SparkSession
SparkSession spark = SparkSession
.builder()
.config("spark.sql.warehouse.dir", "file:///c:/tmp/spark-warehouse")
.getOrCreate()
Or create conf/spark-defaults.conf with the following content:
spark.sql.warehouse.dir file:///c:/tmp/spark-warehouse
I also got this error. In my case I was writting a file with the character ":" in the name ex: /tmp/dattaset_10:23:11. Then spark gets confused because thinks the : is part of a path (like C:\).
The solution is just to remove the : character from the file name
If you do want to fix it in code yet not touch exsiting code, can also pass it from system properties, such that the spark initializations which comes after won't change.
System.setProperty(
"spark.sql.warehouse.dir",
s"file:///${System.getProperty("user.dir")}/spark-warehouse"
.replaceAll("\\\\", "/")
)
Note, also this is using the current working dir, which can be replaced with "c:/tmp/", or any place you'd like the spark-warehouse dir.
Just set config("spark.sql.warehouse.dir", "file:///tmp/spark-warehouse").
No need to include "C:/".
Spark driver will automatically create folder under the /tmp/spark-warehouse directory. If it's windows, it will be under "C:/". The "C:" drive will not work if the master is not local on windows.
I set spark.sql.warehouse.dir property to fix the error in my existing code
System.setProperty("spark.sql.warehouse.dir", "file:///C:/spark-warehouse");
Here is the code snippet
System.setProperty("hadoop.home.dir", "c:/winutil/");
System.setProperty("spark.sql.warehouse.dir", "file:///C:/spark-warehouse");
val conf = new SparkConf().setAppName("test").setMaster("local[*]")
val sc = new SparkContext(conf)
val lines = sc.textFile("C:/user.txt")

Resources