hive json

Hive supports working with JSON data. You can store JSON data in Hive tables and perform various operations on it using HiveQL. Here are the steps to work with JSON in Hive:

1. Create a table: Define a table schema with the necessary columns to store your JSON data. You can use `STRING` or `STRUCT` data types to store JSON values. For example:

   CREATE TABLE json_table (
     id INT,
     data STRING
   );

2. Load JSON data: Load your JSON data into the table using the `LOAD DATA` command or an `INSERT` statement. For example:

   LOAD DATA INPATH 'hdfs://path/to/json/file' INTO TABLE json_table;

3. Query JSON data: You can use Hive's built-in JSON functions to extract values from the JSON data stored in the table. Some of the commonly used functions are `get_json_object`, `json_tuple`, and `json_serde`. For example:

   SELECT get_json_object(data, '$.name') AS name,
          get_json_object(data, '$.age') AS age
   FROM json_table;

4. Manipulate JSON data: Hive provides functions to manipulate JSON data, such as `json_array`, `json_object`, and `json_tuple`. You can use these functions to create or modify JSON values within your queries.

5. Store JSON data: If needed, you can also write the result of your Hive query back to a JSON file using the `INSERT OVERWRITE DIRECTORY` command. For example:

   INSERT OVERWRITE DIRECTORY 'hdfs://path/to/output/json' 
   SELECT *
   FROM json_table;

Remember to adjust the commands and paths based on your specific environment and requirements.