I had the same problem. You need to uppercase all tables prior to storing them in oracle. Gourav Sengupta <gourav.sengu...@gmail.com> schrieb am So. 11. Feb. 2018 um 10:44:
> 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! >> > >
