Thanks Guys for help! Georg's proposal fixed the issue. Thanks a lot.
On Sun, Feb 11, 2018 at 7:59 AM, Georg Heiler <georg.kf.hei...@gmail.com> wrote: > 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! >>> >> >>
