SQLITE JSON CODE

You could use it with something like this: import json Keys = (timestamp,) + tuple( data for c in columns)Įdit: if you don’t want to hard-code the list of columns, you could do something like this: import json

SQLITE JSON CODE

You could add the necessary sqlite code with something like this: import json Which would seem to be the tuples you require. When I run this with your sample data, I get: ( u' 08:38', u'R. Keys = (timestamp,) + tuple(data for c in columns) Consider the following python code: import jsonĬolumns = įor timestamp, data in eritems(): Now all you need to make this work is for keys to be a tuple (or list) containing the values for the new row of the medicoes table in the correct order.

Since the % operator expects the string to its left to contain formatting codes. I have a fair experience with Python, but am just beginning with SQL, so I would like to have some counseling about good practices, and not necessarily a ready recipe. So, I ask: “which strategy/method should I use to programmatically read the keys from each “block” in the JSON file (in this case, “local”, “coord”, “sentido”, “veiculos”, “modalidade”, “regime”, “pistas” e “medicoes”), create the database with the columns in that same order, and then insert the rows with the proper values”? Fernandes Vieira esquina Protásio Alves',Īnd I have created nice database with a one-to-many relation with these lines of Python code: import sqlite3įoreign key (id) references medicoes(timestamp))''')īUT the problem is, when I was preparing to insert the rows with actual data with something like c.execute('insert into medicoes values(?,?,?,?,?,?,?)' % keys), I realized that, since the dict loaded from the JSON file has no special order, it does not map properly to the column order of the database.

My json file is like this (containing traffic data from some crossroads in my city). My intention is to decide later which data container and entry point is best, json (data entry via text editor) or SQLite (data entry via spreadsheet-like GUIs like SQLiteStudio).

As per docs path also supports negative indexing where $ can be used to access last element of the array.I want to convert a JSON file I created to a SQLite database. Here $ is used to access the first element of the array. Then we can pass it to -> which also takes a path expression to its right but returns value as SQLite datatype like text, integer etc. Since the interests column is of JSON type we can use -> operator along with $.likes which is a path expression to get the likes attribute. In the below example we look for users who have reading as their first preference. > also provides a JSON representation in return so it can be chained in nested lookups. With -> we can have the left part as a JSON component and the right part as a path expression. With the above schema in place we can now use the JSON operators to query. sqlite > create table user ( id integer primary key, name text, interests json ) sqlite > insert into user values ( null, 'John', ' Operator semantics Use '.open FILENAME' to reopen on a persistent database. Connected to a transient in - memory database.

Sqlite json