Spark Sql - Insert Into External Hive Table Error - apache-spark

Question

I am trying to insert data into a external hive table through spark sql.
My hive table is bucketed via a column.
The query to create the external hive table is this
create external table tab1 ( col1 type,col2 type,col3 type) clustered by (col1,col2) sorted by (col1) into 8 buckets stored as parquet
Now I tried to store data from a parquet file (stored in hdfs) into the table.
This is my code
SparkSession session = SparkSession.builder().appName("ParquetReadWrite").
config("hive.exec.dynamic.partition", "true").
config("hive.exec.dynamic.partition.mode", "nonstrict").
config("hive.execution.engine","tez").
config("hive.exec.max.dynamic.partitions","400").
config("hive.exec.max.dynamic.partitions.pernode","400").
config("hive.enforce.bucketing","true").
config("optimize.sort.dynamic.partitionining","true").
config("hive.vectorized.execution.enabled","true").
config("hive.enforce.sorting","true").
enableHiveSupport()
.master(args[0]).getOrCreate();
String insertSql="insert into tab1 select * from"+"'"+parquetInput+"'";
session.sql(insertSql);
When I run the code , its throwing the below error
mismatched input ''hdfs://url:port/user/clsadmin/somedata.parquet'' expecting (line 1, pos 50)
== SQL ==
insert into UK_DISTRICT_MONTH_DATA select * from 'hdfs://url:port/user/clsadmin/somedata.parquet'
--------------------------------------------------^^^
at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:239)
at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:115)
at org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:48)
What is the difference between using the hive execution engine as Tez and Spark ?

Answer 1

Have you tried
LOAD DATA LOCAL INPATH '/path/to/data'
OVERWRITE INTO TABLE tablename;

Answer 2

Creating external table in Hive, HDFS location to be specified.
create external table tab1 ( col1 type,col2 type,col3 type)
clustered by (col1,col2) sorted by (col1) into 8 buckets
stored as parquet
LOCATION hdfs://url:port/user/clsadmin/tab1
There won't be necessity that hive will populate the data, either same application or other application can ingest the data into the location and hive will access the data by defining the schema top of the location.
*== SQL ==
insert into UK_DISTRICT_MONTH_DATA select * from 'hdfs://url:port/user/clsadmin/somedata.parquet'
--------------------------------------------------^^^*
parquetInput is parquet HDFS file path and not Hive table name. Hence the error.
There are two ways you can solve this issue:
Define the external table for "parquetInput" and give the table
name
Use LOAD DATA INPATH 'hdfs://url:port/user/clsadmin/somedata.parquet' INTO TABLE tab1