[英]How to read postgres DB tables through EMR jupyter lab notebook from amazon workspace
我正在尝试从 postgres 表中读取表。 但我面临以下错误。 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",
错误我越来越喜欢:“
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)
我试过下面的代码。
tables = read_table(
url=URL,
table="information_schema.tables",
driver=DRIVER,
user=USER,
password=PASS
)
您需要先将 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:
%%configure -f
{ "conf":{
"spark.jars": "s3://JAR-LOCATION/postgresql.jar"
}
}
参考 带有 EMR 和 Jupyter 笔记本的 Postgres JAR
或者,您可以在创建 SparkSession 时配置它。
spark = SparkSession.builder.config('spark.driver.extraClassPath', '/JAR-LOCATION/postgresql.jar').getOrCreate()
更新:根据你的评论,因为你不能推送 JAR,你可以使用 maven 依赖
%%configure -f
{
"conf": {"spark.jars.packages": "org.postgresql:postgresql:jar:42.4.3"}
}
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