Querying Data with Hive SQL
Hive provides a SQL-like language called HiveQL, which allows you to perform data queries and analysis on your Hadoop data. Let's explore how to use Hive SQL to query data.
Connecting to Hive
To start using Hive, you'll need to connect to the Hive server. In a terminal on your Ubuntu 22.04 system, you can use the hive
command to launch the Hive command-line interface (CLI):
$ hive
This will bring you to the Hive CLI, where you can start executing HiveQL commands.
Creating and Querying Tables
In Hive, data is stored in tables. You can create a new table using the CREATE TABLE
statement:
CREATE TABLE races (
race_id INT,
racer_name STRING,
max_speed FLOAT
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE;
This creates a table named races
with three columns: race_id
, racer_name
, and max_speed
.
You can then insert data into the table using the INSERT INTO
statement:
INSERT INTO races
VALUES
(1, 'Racer A', 180.5),
(2, 'Racer B', 175.2),
(3, 'Racer C', 182.8),
(4, 'Racer D', 178.1);
To query the data in the races
table, you can use the SELECT
statement:
SELECT * FROM races;
This will return all the rows and columns in the races
table.
Calculating Maximum Speed per Racer
To find the maximum speed for each racer, you can use the GROUP BY
clause along with the MAX()
aggregate function:
SELECT racer_name, MAX(max_speed) AS max_speed
FROM races
GROUP BY racer_name;
This query will return the maximum speed for each racer.
By using Hive SQL, you can easily perform complex data analysis and transformations on your Hadoop data. In the next section, we'll focus on calculating the maximum speed per racer.