On 7/19/15 4:58 PM, Ivan Evstegneev wrote:
Thanks for the reply.
>>if by "online examples" you mean that you're just reading blog posts
and things trying to find a code snippet that matches what you're
doing, then yes, that's a wasteful >>use of time :)
Wrong! ^_^ I'm not a lazy one.
I'm also reading sqla official documentation, but most of the time
it's *_difficult_ _to follow_*. Maybe cause of lack of the experience.
Furthermore, I got the "dataset" source code in order to understand
how they combined all the stuff together.
Additionally I saw, many tutorials with python drivers like mysqldb,
pymysql, where you need just to construct a string (using "format")
and then pass it as sql query to make the job done.
sure, those are the python drivers. SQLAlchemy rides on top of those,
like in the diagram at http://docs.sqlalchemy.org/en/rel_1_0/intro.html.
That diagram is at the base of my "Intro to SQLAlchemy" video which
might be worth it if you have the time, at
http://www.sqlalchemy.org/library.html#introductiontosqlalchemy
Still, haven't seen any examples of how to use sqlalchemy, in order to
load the data in the way I've described. Maybe my attitude about
"doing stuff this way" is wrong...
Duh... feeling dumb...
Still, many thanks for your answer. ))))
On Sunday, July 19, 2015 at 11:46:46 PM UTC+3, Michael Bayer wrote:
On 7/19/15 4:33 PM, Ivan Evstegneev wrote:
Someone? Please.
On Sunday, July 19, 2015 at 6:02:13 PM UTC+3, Ivan Evstegneev wrote:
I have my data loaded from excel files and organized as
python dict where each key is database table name and its
value is defined as list of dictionaries (the rows)
|
|
|system_data| =
|{table_name1:[{'col_1':val1,'col2':val1...},{'col_1':val2,'col2':val2..}..],table_name2:[{},{}..],[{},{}..]..}|
This data needs to be loaded into existing database while
picking |table_names| keys and values from |system_data|.
Additionally I use ordered_table list which I've created in
specific order to avoid FK problems while data is being loaded.
Here is the code (one of the 1000 versions I've tried):
|fromsqlalchemy importcreate_engine fromsqlalchemy.sql
importinsert defalchemy_load():system_data
=load_current_system_data()engine
=create_engine('mysql+pymysql://username:password@localhost/my_db')conn
=engine.connect()fortable_name
inordered_tables:conn.execute(insert(table_name,system_data[table_name]))print("System's
Data successfully loaded into Database!")|
This function yield a following error:
|"TypeError: 'method' object is not iterable"|
I've wasted almost all day on this stuff (((
All the online examples describe the situation when a user
uses MetaData and creates its own tables... There is nothing
about how to actually add data into existing tables.
There is a solution to my problem using "dataset" library.
Your example illustrates some basic misunderstandings about how
the insert() function is used; you need to pass it the kinds of
objects it expects, in this case not the string name of a table
but rather a Table object, as well as data as key/value arguments
via the values() method.
Re: wasting all day, if by "online examples" you mean that you're
just reading blog posts and things trying to find a code snippet
that matches what you're doing, then yes, that's a wasteful use of
time :) You'd be better off learning the insert() construct
fully so that you can use it in a way specific to what you're
doing, and that means giving the Core tutorial a good read
http://docs.sqlalchemy.org/en/rel_1_0/core/tutorial.html. That
said, dataset is built on SQLAlchemy, so if it does what you need,
there's no reason you need to switch off of it.
The code:
|importdataset defcurrent_data():db
=dataset.connect(url='mysql+pymysql://user:pass@localhost/my_db')system_data
=load_current_system_data()fortable_name
inordered_tables:db[table_name].insert_many(system_data[table_name])print("System's
Data successfully loaded into Database!")|
BUT, I have no idea how to implement this code using
sqlalchemy...
Any help will be appreciated.
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