+---------------+------------+-------+-------+---------+------------------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------+-------+-------+---------+------------------+ | ID | int(11) | NO | PRI | null | auto_increment | | Name | char(35) | NO | | | | | CountryCode | char(3) | NO | | | | | District | char(20) | NO | | | | | Info | json | YES | | null | | +---------------+------------+-------+-------+---------+------------------+ mysql-js>  db.city.select(["ID", "Name", "CountryCode", "District", "Info"]).where( "CountryCode = :country and Info->’$.Population’ > 1000000").bind( ’country’, ’USA’) +------+----------------+-------------+----------------+-----------------------------+ | ID | Name | CountryCode | District | Info | +------+----------------+-------------+----------------+-----------------------------+ | 3793 | New York | USA | New York | {"Population": 8008278} | | 3794 | Los Angeles | USA | California | {"Population": 3694820} | | 3795 | Chicago | USA | Illinois | {"Population": 2896016} | | 3796 | Houston | USA | Texas | {"Population": 1953631} | | 3797 | Philadelphia | USA | Pennsylvania | {"Population": 1517550} | | 3798 | Phoenix | USA | Arizona | {"Population": 1321045} | | 3799 | San Diego | USA | California | {"Population": 1223400} | | 3800 | Dallas | USA | Texas | {"Population": 1188580} | | 3801 | San Antonio | USA | Texas | {"Population": 1144646} | +------+----------------+-------------+----------------+-----------------------------+ 9 rows in set (0.01 sec) 3864 20.4 Python Quick-Start Guide: MySQL Shell for Document Store Related Information •Operations to manage relational tables. •Operations to manage collections and documents. •Introduction to MySQL functionality, MySQL Shell, and the  world_x  example schema. •See Section 11.5, “The JSON Data Type”  for a detailed description of the data type. •See Working with Relational Tables and Documents for more information. This quick-start guide provides instructions to begin prototyping document store applications interactively with MySQL Shell. The guide includes the following topics: You can issue a query with a search condition that evaluates document values in the expression. Select a Record Insert a Record To insert a document into the column of a table, pass to the  values()  method a well-formed JSON document in the correct order. In the following example, a document is passed as the final value to be inserted into the Info column. The city table has five columns (or fields). city Table Description Python Quick-Start Guide: MySQL Shell for Document Store mysql-js>  db.city.insert().values( None, "San Francisco", "USA", "California", ’{"Population":830000}’)