Flask-SQLAlchemy - Transfer / Import Data From SQLite to MySQL
I am relatively new in database system design. I need to build a tool using Flask-SQLAlchemy which accepts relatively smaller SQLite databases (intermediate DBs) as its input and stores the data into a MySQL database (central DB / master record).
My questions are:
- What is the most efficient (and possibly performant) programmatic way to achieve this goal? What libraries / extensions do I need to use?
- I did some research and found some suggestions to convert the intermediate DBs to other format first, e.g. CSV, XML, before inserting the data to the central DB. Do I need to perform this conversion?
Few notes:
- I have the schema for the central DB already defined using Flask-SQLAlchemy ORM.
- The schemas of intermediate DB and central DB are not one-to-one. However, the columns in intermediate DB can be seen as the subset of the columns in the central DB.
mysql sqlite flask sqlalchemy flask-sqlalchemy
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I am relatively new in database system design. I need to build a tool using Flask-SQLAlchemy which accepts relatively smaller SQLite databases (intermediate DBs) as its input and stores the data into a MySQL database (central DB / master record).
My questions are:
- What is the most efficient (and possibly performant) programmatic way to achieve this goal? What libraries / extensions do I need to use?
- I did some research and found some suggestions to convert the intermediate DBs to other format first, e.g. CSV, XML, before inserting the data to the central DB. Do I need to perform this conversion?
Few notes:
- I have the schema for the central DB already defined using Flask-SQLAlchemy ORM.
- The schemas of intermediate DB and central DB are not one-to-one. However, the columns in intermediate DB can be seen as the subset of the columns in the central DB.
mysql sqlite flask sqlalchemy flask-sqlalchemy
add a comment |
I am relatively new in database system design. I need to build a tool using Flask-SQLAlchemy which accepts relatively smaller SQLite databases (intermediate DBs) as its input and stores the data into a MySQL database (central DB / master record).
My questions are:
- What is the most efficient (and possibly performant) programmatic way to achieve this goal? What libraries / extensions do I need to use?
- I did some research and found some suggestions to convert the intermediate DBs to other format first, e.g. CSV, XML, before inserting the data to the central DB. Do I need to perform this conversion?
Few notes:
- I have the schema for the central DB already defined using Flask-SQLAlchemy ORM.
- The schemas of intermediate DB and central DB are not one-to-one. However, the columns in intermediate DB can be seen as the subset of the columns in the central DB.
mysql sqlite flask sqlalchemy flask-sqlalchemy
I am relatively new in database system design. I need to build a tool using Flask-SQLAlchemy which accepts relatively smaller SQLite databases (intermediate DBs) as its input and stores the data into a MySQL database (central DB / master record).
My questions are:
- What is the most efficient (and possibly performant) programmatic way to achieve this goal? What libraries / extensions do I need to use?
- I did some research and found some suggestions to convert the intermediate DBs to other format first, e.g. CSV, XML, before inserting the data to the central DB. Do I need to perform this conversion?
Few notes:
- I have the schema for the central DB already defined using Flask-SQLAlchemy ORM.
- The schemas of intermediate DB and central DB are not one-to-one. However, the columns in intermediate DB can be seen as the subset of the columns in the central DB.
mysql sqlite flask sqlalchemy flask-sqlalchemy
mysql sqlite flask sqlalchemy flask-sqlalchemy
asked Nov 21 '18 at 7:15
Sam Tatasurya
124110
124110
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