![]() Query = query.format(",".join(columns), ",?" * len(columns))įor timestamp, data in traffic. Query = "insert into medicoes (timestamp,)" You could use it with something like this: import json Query = "insert into medicoes values (?,?,?,?,?,?,?)"Įdit: if you don't want to hard-code the list of columns, you could do something like this: import json 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) use the json.load () to read the JSON datajson.load () function is used to read the content in a JSON file. Consider the following python code: import jsonĬolumns = įor timestamp, data in eritems(): Convert Json to Sqlit Database in Python Import JSON and sqlite3 modules JSON module is used to read the JSON file and the sqlite3 module in python is used to. 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. Which I think should be c.execute("insert into medicoes values (?,?,?,?,?,?,?)", keys) You have this python code: c.execute("insert into medicoes values(?,?,?,?,?,?,?)" % keys) 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). SQLite's command-line interface can even read the file for you no Python required.I want to convert a JSON file I created to a SQLite database. SQLite's methods are probably a lot faster, too. ![]() SQLite can validate that it is JSON, and can compact the data for you, if that's what you want. On the negative side, each conversion takes time and memory. (If it isn't, then the load() conversion will fail.) Converting it back will result in a compacted string, with all unnecessary whitespace removed so SQLite will use less space and time to store, retrieve, and parse it later. On the positive side, it proves that the input really is in JSON format. This double-conversion is not entirely bad. which requires converting it back into the format you started with.is intended to write the converted value into a SQLite table column.converts them into a Python dict or list (or a scalar value).loads a series of lines of text, which already represents a value in JSON format,. ![]()
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