shellbye shellbye - 6 months ago 130
MySQL Question

pyspark mysql jdbc load An error occurred while calling o23.load No suitable driver

I use docker image sequenceiq/spark on my Mac to study these spark examples, during the study process, I upgrade the spark inside that image to 1.6.1 according to this answer, and the error occurred when I start the

Simple Data Operations
example, here is what happened:

when I run
df = sqlContext.read.format("jdbc").option("url",url).option("dbtable","people").load()
it raise a error, and the full stack with the pyspark console is as followed:

Python 2.6.6 (r266:84292, Jul 23 2015, 15:22:56)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-11)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
16/04/12 22:45:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 1.6.1
/_/

Using Python version 2.6.6 (r266:84292, Jul 23 2015 15:22:56)
SparkContext available as sc, HiveContext available as sqlContext.
>>> url = "jdbc:mysql://localhost:3306/test?user=root;password=myPassWord"
>>> df = sqlContext.read.format("jdbc").option("url",url).option("dbtable","people").load()
16/04/12 22:46:05 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/12 22:46:06 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/12 22:46:11 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
16/04/12 22:46:11 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/04/12 22:46:16 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/12 22:46:17 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/spark/python/pyspark/sql/readwriter.py", line 139, in load
return self._df(self._jreader.load())
File "/usr/local/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
File "/usr/local/spark/python/pyspark/sql/utils.py", line 45, in deco
return f(*a, **kw)
File "/usr/local/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o23.load.
: java.sql.SQLException: No suitable driver
at java.sql.DriverManager.getDriver(DriverManager.java:278)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$2.apply(JdbcUtils.scala:50)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$2.apply(JdbcUtils.scala:50)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.createConnectionFactory(JdbcUtils.scala:49)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:120)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:91)
at org.apache.spark.sql.execution.datasources.jdbc.DefaultSource.createRelation(DefaultSource.scala:57)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:158)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
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:381)
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:209)
at java.lang.Thread.run(Thread.java:744)

>>>


Here is what I have tried till now:


  1. Download
    mysql-connector-java-5.0.8-bin.jar
    , and put it in to
    /usr/local/spark/lib/
    . It still the same error.

  2. Create
    t.py
    like this:

    from pyspark import SparkContext

    from pyspark.sql import SQLContext

    sc = SparkContext(appName="PythonSQL")

    sqlContext = SQLContext(sc)

    df = sqlContext.read.format("jdbc").option("url",url).option("dbtable","people").load()

    df.printSchema()

    countsByAge = df.groupBy("age").count()

    countsByAge.show()

    countsByAge.write.format("json").save("file:///usr/local/mysql/mysql-connector-java-5.0.8/db.json")



then, I tried
spark-submit --conf spark.executor.extraClassPath=mysql-connector-java-5.0.8-bin.jar --driver-class-path mysql-connector-java-5.0.8-bin.jar --jars mysql-connector-java-5.0.8-bin.jar --master local[4] t.py
. The result is still the same.


  1. Then I tried
    pyspark --conf spark.executor.extraClassPath=mysql-connector-java-5.0.8-bin.jar --driver-class-path mysql-connector-java-5.0.8-bin.jar --jars mysql-connector-java-5.0.8-bin.jar --master local[4] t.py
    , both with and without the following
    t.py
    , still the same.



During all of this, the mysql is running. And here is my os info:

# rpm --query centos-release
centos-release-6-5.el6.centos.11.2.x86_64


And the hadoop version is 2.6.

Now I don't where to go next, so I hope some one can help give some advice, thanks!

Answer

I ran into "java.sql.SQLException: No suitable driver" when I tried to have my script write to MySQL.

Here's what I did to fix that.

In script.py

df.write.jdbc(url="jdbc:mysql://localhost:3333/my_database"
                  "?user=my_user&password=my_password",
              table="my_table",
              mode="append",
              properties={"driver": 'com.mysql.jdbc.Driver'})

Then I ran spark-submit this way

SPARK_HOME=/usr/local/Cellar/apache-spark/1.6.1/libexec spark-submit --packages mysql:mysql-connector-java:5.1.39 ./script.py

Note that SPARK_HOME is specific to where spark is installed. For your environment this https://github.com/sequenceiq/docker-spark/blob/master/README.md might help.

In case all the above is confusing, try this:
In t.py replace

sqlContext.read.format("jdbc").option("url",url).option("dbtable","people").load()

with

sqlContext.read.format("jdbc").option("url",url).option("dbtable","people").option("driver", 'com.mysql.jdbc.Driver').load()

And run that with

spark-submit --packages mysql:mysql-connector-java:5.1.39 --master local[4] t.py
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