Requirement
You have comma separated file and you want to create an external table in the hive on top of it (need to load CSV file in hive), then follow the below steps.
Solution
Step 1: Sample CSV File
Create a sample CSV file named as sample_1.csv.
You can download the sample file from here sample_1
(You can skip this step if you already have a CSV file, just place it into a local directory.)
If you have any sample data with you, then put the content in that file with delimiter comma (,). If you have created a file in windows, then transfer it to your Linux machine via WinSCP.
please refer below screenshot.
I have a local directory named as input_files, so I have placed a sample_1.CSV file in that directory. You can see the content of that file using below command:
cat /root/bigdataprogrammers/input_files/sample_1.csv
It will show the content of the file:-
Step 2: Copy CSV to HDFS
Run the below commands in the shell for initial setup.
First, create a Hdfs directory named as ld_csv_hv and ip using below command.
hadoop fs -mkdir bdp/ld_csv_hv hadoop fs -mkdir bdp/ld_csv_hv/ip
Put the file in the created Hdfs directory using below command:
hadoop fs -put /root/bigdataprogrammers/input_files/sample_1.csv bdp/ld_csv_hv/ip/
Check whether the file is available in Hdfs or not using below command:
hadoop fs -ls bdp/ld_csv_hv/ip/
NOTE: – For me, the default Hdfs directory is /user/root/.
Step 3: Create Hive Table and Load data
Now, you have the file in Hdfs, you just need to create an external table on top of it.
Use below hive scripts to create an external table named as csv_table in schema bdp. Run below script in hive CLI.
CREATE SCHEMA IF NOT EXISTS bdp; CREATE EXTERNAL TABLE IF NOT EXISTS bdp.hv_csv_table (id STRING,Code STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE LOCATION 'hdfs://sandbox.hortonworks.com:8020/user/root/bdp/ld_csv_hv/ip';
Step 4: Verify data
Please check whether CSV data is showing in the table or not using below command:
select * from bdp.hv_csv_table;
Wrapping Up
CSV is the most used file format. It stores data as comma-separated values that’s why we have used a ‘,’ delimiter in “fields terminated By” option while the creation of hive table.
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