Spark sql issue with columns specified

问题

we are trying to replicate an oracle db into hive. We get the queries from oracle and run them in hive. So, we get them in this format:

INSERT INTO schema.table(col1,col2) VALUES ('val','val');

While this query works in Hive directly, when I use spark.sql, I get the following error:

org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input 'emp_id' expecting {'(', 'SELECT', 'FROM', 'VALUES', 'TABLE', 'INSERT', 'MAP', 'REDUCE'}(line 1, pos 20)
== SQL ==
insert into ss.tab(emp_id,firstname,lastname) values ('1','demo','demo')
--------------------^^^
        at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:217)
        at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:114)
        at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:48)
        at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:68)
        at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623)
        at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:691)
        at com.datastream.SparkReplicator.insertIntoHive(SparkReplicator.java:20)
        at com.datastream.App.main(App.java:67)
        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 org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

回答1:

This error is coming as Spark SQL does not support column lists in the insert statement. so exclude the column list from the insert statement.

below was my hive table:

select * from UDB.emp_details_table;
+---------+-----------+-----------+-------------------+--+
| emp_id  | emp_name  | emp_dept  | emp_joining_date  |
+---------+-----------+-----------+-------------------+--+
| 1       | AAA       | HR        | 2018-12-06        |
| 1       | BBB       | HR        | 2017-10-26        |
| 2       | XXX       | ADMIN     | 2018-10-22        |
| 2       | YYY       | ADMIN     | 2015-10-19        |
| 2       | ZZZ       | IT        | 2018-05-14        |
| 3       | GGG       | HR        | 2018-06-30        |
+---------+-----------+-----------+-------------------+--+

here I am inserting record using spark sql through pyspark

df = spark.sql("""insert into UDB.emp_details_table values ('6','VVV','IT','2018-12-18')""");

you could see below that given record has been inserted to my existing hive table.

+---------+-----------+-----------+-------------------+--+
| emp_id  | emp_name  | emp_dept  | emp_joining_date  |
+---------+-----------+-----------+-------------------+--+
| 1       | AAA       | HR        | 2018-12-06        |
| 1       | BBB       | HR        | 2017-10-26        |
| 2       | XXX       | ADMIN     | 2018-10-22        |
| 2       | YYY       | ADMIN     | 2015-10-19        |
| 2       | ZZZ       | IT        | 2018-05-14        |
| 3       | GGG       | HR        | 2018-06-30        |
| 6       | VVV       | IT        | 2018-12-18        |
+---------+-----------+-----------+-------------------+--+

change your spark sql query as :

spark.sql("""insert into ss.tab values ('1','demo','demo')""");

Note: I am using spark 2.3, you need to use hive context in case you are using spark 1.6 version.

Let me know if it works.

来源：https://stackoverflow.com/questions/53812634/spark-sql-issue-with-columns-specified