我试图从postgres表中读取该表。但我遇到以下错误。注意:我无法从本地引用外部文件,因为它是一个私有工作区。
JDBC:例如:
"url":"jdbc:postgresql://xxxx-xxxxx-postgresql-prod01.cluster-xxxx.xx-xx-1.rds.amazonaws.com:0000/db_xxx_txxx",
错误我得到像:“
java.lang.ClassNotFoundException: org.postgresql.Driver
“
An error was encountered:
An error occurred while calling o153.jdbc.
: java.lang.ClassNotFoundException: org.postgresql.Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:387)
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$.register(DriverRegistry.scala:46)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$1(JDBCOptions.scala:102)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$1$adapted(JDBCOptions.scala:102)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:102)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:38)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:355)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:325)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:307)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:307)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:225)
at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:340)
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:750)
我已经试过了。
tables = read_table(
url=URL,
table="information_schema.tables",
driver=DRIVER,
user=USER,
password=PASS
)
1条答案
按热度按时间ibrsph3r1#
您需要首先将Postgres驱动程序添加为依赖项/类路径。
首先将JAR复制到集群或s3上,然后在第一个单元格中执行:
参考Postgres JAR with EMR and Jupyter Notebooks
或者,您可以在创建SparkSession时对其进行配置。
**更新:**根据您的注解,因为您不能推送JAR,所以可以使用maven依赖项