You can query a JSON document in MySQL to find content within it with:

• The JSON_CONTAINS function that will return if a JSON document is contained within another JSON document. The function returns 1 if the document is contained, 0 elsewhere.
• The JSON_CONTAINS function that will return if a JSON document path is contained within another JSON document. The function returns 1 if the document is contained, 0 elsewhere.

You have a JSON dataset that you want to upload to a PostgreSQL table containing properly formatted rows and columns… How do you do it?

All the main sources like my own blog and others tell you to load the JSON in a dedicated temporary table containing a unique JSON column, then parse it and load into the target table. However there could be another way, avoiding the temp table!

You can tabulate a JSON document (retrieve it as a row) in MySQL with the JSON_TABLE function.

You can remove a field from JSON document in MySQL with the JSON_REMOVE function.

You can insert a field in a JSON document in MySQL with the JSON_INSERT function.

You can edit a JSON document in MySQL with:

• The JSON_SET function that will replace values for JSON paths that exists and add values for the ones that don’t exist.
• The JSON_REPLACE function that will replace values for JSON paths that exists and ignore the ones that don’t exist.

You can merge two JSON documents in MySQL with:

• the JSON_MERGE_PRESERVE function to concatenate the document values
• the JSON_MERGE_PATCH function to keep the latest value for each key

You can create a JSON document from fields in Mysql® with the JSON_OBJECT function

To get the type of a JSON item in MySQL you need to use the JSON_TYPE function.

To extract an item from an array in MySQL you need to use the -> operator and the [item_number] JSON Path Syntax.

MySQL® offers three ways to extract fields from a JSON object:

• the -> operator to extract the field as JSON
• the ->> operator to extract the field as text
• the JSON_EXTRACT function

Both operators use the JSON Path Syntax

To load JSON data into a MySQL column you need to include it as string.

This series covers how to solve common problems on JSON datasets with MySQL and it includes (links will appear once the target pages are up):

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB. This doc showcases how to load JSON data into a column.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides two different ways to tabulate a JSON to a record:

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides two different ways to tabulate a JSON to a recordset:

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the jsonb_set function to remove the null values for JSONB columns.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the - operator to remove an item from an array.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides two different ways to remove fields from a JSON document:

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the json_strip_nulls (jsonb_strip_nulls for JSONB) function to remove the null values.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the opearator || to concatenate two JSON objects.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function json_object (jsonb_object for JSONB) to create a JSON object from an array of key/value pairs.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function json_object (jsonb_object for JSONB) to create a JSON object from two arrays of keys and values.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function array_to_json (array_to_jsonb for JSONB) to create a JSON array from an existing array.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function json_build_array (jsonb_build_array for JSONB) to create a JSON array from a list of elements.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use several functions to extract the keys and related values in tabular format.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function to_json (to_jsonb for JSONB) to convert a table row to a JSON object.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function json_pretty (jsonb_pretty for JSONB) to prettify the output.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides several different ways to parse arrays from a JSON document:

This series covers how to solve common problems on JSON datasets with PostgreSQL® and it includes (links will appear once the target pages are up):

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides several different ways to extract fields from a JSON document:

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, you can use the function json_typeof (jsonb_typeof for JSONB) to extract the fields type.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB. This doc showcases how to index a JSONB column with a GIN index.

PostgreSQL® offers two types of data types to handle JSON data, JSON and JSONB, and provides several different ways to check if a value/field from a JSON document:

PostgreSQL® offers two types of data types to handle JSON data:

• JSON stores the JSON as text, performing a validation on the correctness of the JSON syntax
• JSONB optimizes the JSON storage in a custom binary format. Therefore, on top of validating the correctness of the JSON format, time is spent to properly parse and store the content.

How to define a database connection in a JSON file that can be imported in PG Admin 4