问题描述
通过在远程服务器上运行pysqpark，我可以使用jdbc连接到另一台服务器上的Oracle数据库，但是我运行的任何有效查询都会返回ORA-00903: invalid table name Error.
With a pysqpark running on a remote server, I am able to connect to an Oracle database on another server with jdbc, but any valid query I run returns a ORA-00903: invalid table name Error.
我可以使用cx_Oracle或pyodbc从本地计算机连接到数据库.当我从本地连接时，那些返回上述错误的查询没有问题.
I am able to connect to the database from my local machine with cx_Oracle or pyodbc. When I connect from local those queries that return the above error run without problems.
我改变了在本地或远程运行的查询，但是无论我运行哪种有效查询
I've varied the queries that I run in either locally or remotely, but no matter what type of valid query I run
ORACLE_JAR = "ojdbc7.jar"
JAR_LOC = os.path.join(os.environ["JARS_DIR"], ORACLE_JAR)
spark = SparkSession.builder \
.appName("GetData") \
.config("spark.jars", "local://" + JAR_LOC) \
.getOrCreate()
exadata_instances = ["xxx.yyy.zzz", "aaa.bbb.cc"]
db_host = "xxx.yyy.zzz"
user = 'username'
password = 'passW0rd'
driver = "oracle.jdbc.OracleDriver"
sid = "eee.fff.ggg"
address_string = ""
for exadata_instance in exadata_instances:
address_string += f"(ADDRESS=(PROTOCOL=TCP)(HOST={exadata_instance})(PORT=1521))"
tns = f"(DESCRIPTION= \
(ADDRESS_LIST= \
(LOAD_BALANCE=OFF) \
(FAILOVER=ON) \
{address_string}) \
(CONNECT_DATA=(SERVICE_NAME={sid})(SERVER=DEDICATED)))"
url = f"jdbc:oracle:thin:@{tns}"
以下是我尝试过的某些查询的变体.基本上，我认为我已经用尽了大小写表和视图名称的组合，并以;结尾或不以;结尾.
The below are variations of some of the queries I've tried. Basically, I think I've exhausted the combinations of upper/lower case table and view names, terminated with or without a ;.
dbtable = 'SELECT owner, table_name FROM all_tables'
dbtable = 'SELECT owner, table_name FROM all_tables;'
dbtable = 'SELECT owner, table_name FROM ALL_TABLES'
dbtable = 'SELECT owner, table_name FROM ALL_TABLES;'
dbtable = 'SELECT col1, col2 FROM V_MY_VIEW'
dbtable = 'SELECT col1, col2 FROM V_MY_VIEW;'
dbtable = 'SELECT COL1, COL2 FROM v_my_view'
最后，使用以上设置，我运行以下pyspark命令:
Finally, with the above settings, I run the below pyspark command:
jdbc_df = spark.read.format("jdbc").option("url", url) \
.option("dbtable", dbtable) \
.option("driver", driver) \
.option("user", user) \
.option("inferSchema", True) \
.option("password", password).load()
引起错误的原因(全部):
Which gives rise to the error (in full):
Py4JJavaError Traceback (most recent call last)
in engine
----> 1 jdbc_df = spark.read.format("jdbc").option("url", url) .option("dbtable", dbtable) .option("driver", driver) .option("user", user) .option("inferSchema", True) .option("password", password).load()
/opt/cloudera/parcels/SPARK2/lib/spark2/python/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
163 return self._df(self._jreader.load(self._spark._sc._jvm.PythonUtils.toSeq(path)))
164 else:
--> 165 return self._df(self._jreader.load())
166
167 @since(1.4)
/conda/miniconda3/envs/python3.6.8/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
/opt/cloudera/parcels/SPARK2/lib/spark2/python/pyspark/sql/utils.py in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.Py4JJavaError as e:
65 s = e.java_exception.toString()
/conda/miniconda3/envs/python3.6.8/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o1253.load.
: java.sql.SQLSyntaxErrorException: ORA-00903: invalid table name
at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:450)
at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:399)
at oracle.jdbc.driver.T4C8Oall.processError(T4C8Oall.java:1059)
at oracle.jdbc.driver.T4CTTIfun.receive(T4CTTIfun.java:522)
at oracle.jdbc.driver.T4CTTIfun.doRPC(T4CTTIfun.java:257)
at oracle.jdbc.driver.T4C8Oall.doOALL(T4C8Oall.java:587)
at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:225)
at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:53)
at oracle.jdbc.driver.T4CPreparedStatement.executeForDescribe(T4CPreparedStatement.java:774)
at oracle.jdbc.driver.OracleStatement.executeMaybeDescribe(OracleStatement.java:925)
at oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout(OracleStatement.java:1111)
at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:4798)
at oracle.jdbc.driver.OraclePreparedStatement.executeQuery(OraclePreparedStatement.java:4845)
at oracle.jdbc.driver.OraclePreparedStatementWrapper.executeQuery(OraclePreparedStatementWrapper.java:1501)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:62)
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)
我的直觉是这不是我的代码中的内容，而是服务器或驱动程序中的一些我不知道如何访问或控制的设置.
My gut feeling is that this isn't something in my code, but some setting either on the server or in the driver that I don't know how to access or control.
如果有人可以告诉我如何调试该问题或直接解决该问题，我将不胜感激.谢谢.
I'd be really grateful if someone could either tell me how I might go about debugging the issue or directly fix it. Thank you.
推荐答案
根据文档中的dbtable:
因此，在您的示例中，您可以执行以下操作:
So in your examples you could do:
dbtable = '(SELECT owner, table_name FROM ALL_TABLES)'
(可选)具有别名:
dbtable = '(SELECT owner, table_name FROM ALL_TABLES) t'
作为替代方案，您可以使用query代替(不如)dbtable:
As an alternative you could use query instead of (not as well as) dbtable:
...实际上是一回事，但可能会使您的代码更易懂(当然，完全是主观的)，即:
... so effectively the same thing, but might make your code more understandable (entirely subjective, of course), i.e. something like:
query = 'SELECT owner, table_name FROM ALL_TABLES'
然后:
jdbc_df = spark.read.format("jdbc").option("url", url) \
.option("query", query) \
.option("driver", driver) \
...
这篇关于pyspark读取格式jdbc生成ORA-00903:无效的表名错误的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！