Hi, since you are using the same user as the schema, I do not think that there is an access issue. Perhaps you might want to see whether there is anything case sensitive about the the table names. I remember once that the table names had to be in small letters, but that was in MYSQL.
Regards, Gourav On Sun, Feb 11, 2018 at 2:26 AM, Lian Jiang <jiangok2...@gmail.com> wrote: > Hi, > > I am following https://spark.apache.org/docs/latest/sql- > programming-guide.html#jdbc-to-other-databases to query oracle database > 12.1 from spark shell 2.11.8. > > val jdbcDF = spark.read > .format("jdbc") > .option("url", "jdbc:oracle:thin:@(DESCRIPTION = (ADDRESS = (PROTOCOL = > TCP)(HOST = 129.106.123.73)(PORT = 1521))(CONNECT_DATA =(SERVER = > DEDICATED)(SERVICE_NAME = pdb1.subnet1.hadoop.oraclevcn.com)))") > .option("dbtable", "HADOOP_DEV.SYMBOLINFO") > .option("user", "hadoop_dev") > .option("password", "mypassword") > .load() > > This statement failed due to "ORA-00942: table or view does not exist" > even SymbolInfo table does exist in hadoop_dev schema. > > Any clue? Thanks! >
