CODEWITHSUNDEEP
hadoopsqoop
Arun S
Arun S

Reputation: 1453

Hadoop - sqoop Export/Import Partitioned table

Can anyone explain how to export partitioned table from hive to MYSQL database?

And how to import into a hive partitioned table from mysql?

I have read the documents in google but not sure on the latest techniques that can be used.

Thanks

Upvotes: 0

Views: 19070

Answers (1)

Mahesh Gupta
Mahesh Gupta

Reputation: 1892

sqoop to hive partition import

1. create a table in mysql with 4 fields (id, name, age, sex)

CREATE TABLE `mon2`
(`id` int, `name` varchar(43), `age` int, `sex` varchar(334))

2. insert data into mysql table using csv abc.csv

1,mahesh,23,m
2,ramesh,32,m
3,prerna,43,f
4,jitu,23,m
5,sandip,32,m
6,gps,43,f

mysql> source location_of_your_csv/abc.csv

3. now start your hadoop service and goto $SQOOP_HOME and write sqoop import query for partition hive import.

sqoop import \
--connect jdbc:mysql://localhost:3306/apr \
--username root \
--password root \
-e "select id, name, age from mon2 where sex='m' and \$CONDITIONS" \
--target-dir /user/hive/warehouse/hive_part \
--split-by id \
--hive-overwrite \
--hive-import \
--create-hive-table \
--hive-partition-key sex \
--hive-partition-value 'm' \
--fields-terminated-by ',' \
--hive-table mar.hive_part \
--direct

hive to sqoop export with partition

1. create hive_temp table for load data

create table hive_temp
(id int, name string, age int, gender string)
row format delimited fields terminated by ',';

2. load data

load data local inpath '/home/zicone/Documents/pig_to_hbase/stack.csv' into table hive_temp;

3. create a partition table with a specific column that you want to partition.

create table hive_part1
(id int, name string, age int)
partitioned by (gender string)
row format delimited fields terminated by ',';

4. add a partition in hive_temp table

alter table hive_part1 add partition(gender='m');

5. copy data from temp to hive_part table

insert overwrite table hive_part1 partition(gender='m')
select id, name, age from hive_temp where gender='m';

6. sqoop export command

create a table in mysql

mysql> create table mon3 like mon2;

sqoop export \
--connect jdbc:mysql://localhost:3306/apr \
--table mon3 \
--export-dir /user/hive/warehouse/mar.db/hive_part1/gender=m \
-m 1 \
--username root \
--password root

now goto mysql terminal and run 

select * from mon3;

hope it works for you :)

Upvotes: 11

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