The data within the JSON object is separated by a comma, making it easily understandable.įrom the above article, we hope you understand how to use the PostgreSQL JSON data type and how the PostgreSQL JSON data type works to store the data in key-value pair.Javascript Notation Objects are faster and very easy to read and understand.Compatible with various database management systems.Parsing of JSON data is quite easier and faster execution.Json_typeof (stud_data->'information'->'rank')Īdvantages of using JSON in PostgreSQL are given below: We can get the data type rank field of the nested information JSON object using the following statement: SELECT We can get the data type of the information using the following statement: SELECT The type of JSON value can be a boolean, number null, string, object, and array. With the help of the function json_typeof(), we can get the type of the outermost JSON value as a string. We can use the json_object_keys() function to get a set of keys in the outermost JSON object as follows: SELECT We can use the json_each_text() function to get a set of key-value pairs as text. json_each functionīy using the json_each() function, we can expand the outermost JSON object into a set of key-value pairs as follows: SELECT ![]() ![]() PostgreSQL provides us with some functions to handle JSON data. Stud_data -> 'information' -> 'branch' = 'Computer' Consider the following example, which gives us the record whose branch is Computer by using the following statement. In order to filter rows from the result set, we can use the JSON operators in the WHERE clause. Stud_data -> 'information' -> 'rank' as rankĮxample #4 – Use JSON operator in WHERE clause Example #1 – Get all students in the form of JSON key SELECTĮxample #2 – Get all students in the form of JSON text SELECTĮxample #3 – Get specific JSON node using operators SELECT We have created a student table in the above section let’s use the same for understanding the following examples. We can fetch the data from the student table by using the following snapshot and SQL statements. We can insert multiple rows in the table using the following INSERT statement: INSERT INTO student (stud_data) INSERT INTO student (stud_data)Īfter executing the above statement, illustrate the student table’s content using the following snapshot and SQL statement. Now insert the JSON data with the help of the following INSERT statement, which will add a new row into the ‘student’ table. Before adding JSON data to the table, we need to ensure the given data is invalid in JSON format. Now we will insert the data into the stud_data column, which is of type JSON. Let’s create the table by using the CREATE TABLE statement: CREATE TABLE student ( ![]() ![]() stud_data: The column which stores the student’s information in the form of JSON.stud_id: The column is the primary key column that uniquely identifies the student.The student table consists of two columns: To understand the insertion of JSON data, let us create a ‘student’ table with the following structure. The -> operator: Returns JSON data in the form of text.The -> operator Returns JSON data in the form of a key.PostgreSQL provides the two native operators to work with JSON data.If JSON data is incorrect, then it will throw an error.We need to make sure the given data is in a valid JSON format before adding it to the table.
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