📅  最后修改于: 2023-12-03 15:13:26.534000             🧑  作者: Mango
Apache Tajo is a big data relational and distributed data warehouse system that runs on top of Hadoop. It provides various functions for processing large-scale data efficiently. One of the most useful functions is the JSON functions that allow developers to work with JSON data.
json_extract_path(json, path): This function extracts a value from a JSON object using a JSON path expression. For example, SELECT json_extract_path('{"name": "John", "age": 30}', 'name')
returns John
.
json_extract_array_element(json, index): This function extracts an element from a JSON array at a specified index. For example, SELECT json_extract_array_element('["John", "Doe", "Mary"]', 2)
returns Mary
.
json_type(json): This function returns the type of a JSON value. For example, SELECT json_type('{"name": "John", "age": 30}')
returns object
.
json_array_length(json): This function returns the length of a JSON array. For example, SELECT json_array_length('["John", "Doe", "Mary"]')
returns 3
.
Here are some examples of using Apache Tajo JSON functions:
SELECT json_extract_path('{"name": "John", "age": 30}', 'name') as name,
json_extract_path('{"name": "John", "age": 30}', 'age') as age;
Output:
|name|age| |----|---| |John|30 |
SELECT json_extract_array_element('["John", "Doe", "Mary"]', 2) as name;
Output:
|name| |----| |Mary|
SELECT json_type('{"name": "John", "age": 30}') as type;
Output:
|type| |----| |object|
SELECT json_array_length('["John", "Doe", "Mary"]') as length;
Output:
|length| |------| | 3 |
In conclusion, Apache Tajo JSON functions make it easy for programmers to work with JSON data in a distributed environment. The functions are efficient and support a wide range of use cases.