During synchronization Foreign key null (error) - mysql

In my database I want to synchronize two tables. I use auth_user(Default table provided by Django) table for registration and there was another table user-profile that contain entities username, email, age etc. During the synchronization how to update Foriegn key?
def get_filename(instance,filename):
return "upload_files/%s_%s" % (str(time()).replace('.','_'),filename)
def create_profile(sender, **kwargs):
if kwargs["created"]:
p = profile(username = kwargs["instance"], email=kwargs["instance"])
p.save()
models.signals.post_save.connect(create_profile, sender=User)
class profile(models.Model):
username = models.CharField(max_length = 30)
email = models.EmailField()
age = models.PositiveIntegerField(default='15')
picture = models.FileField(upload_to='get_filename')
auth_user_id = models.ForeignKey(User)
Here in table profile during synchronization all columns are filled except auth_user_id. and there was an error
Exception Value:
(1048, "Column 'auth_user_id_id' cannot be null")

You have to alter your table and change the column auth_user_id_id datatype attribute that allows null.
Something like this:-
ALTER TABLE mytable MODIFY auth_user_id_id int;
Assuming auth_user_id_id as int datatype.(Columns are nullable by default)

Related

Handling Redshift identity columns in SQLAlchemy

This question is related to a Question posted a few years ago.
I'm using the redshift-sqlalchemy package to connect SQLAlchemy to Redshift.
In Redshift I have a simple "companies" table:
CREATE TABLE apis
(
id INTEGER IDENTITY(1,1) NOT NULL,
name VARCHAR(255) NOT NULL,
PRIMARY KEY(id)
);
On the SQLAlchemy side I have mapped it like so:
Base = declarative_base()
class Company(Base):
__tablename__ = 'companies'
id = Column(BigInteger, primary_key=True, redshift_identity=(1, 1))
name = Column(String, nullable=False)
def __init__(self, name: str):
self.name = name
If I try to create a company:
company = Company(name = 'Hoge')
session.add(company)
session.commit()
then I get this error:
(sqlalchemy.exc.ProgrammingError) (redshift_connector.error.ProgrammingError) {'S': 'ERROR', 'C': '42P01', 'M': 'relation "companies_id_seq" does not exist', 'F': '../src/pg/src/backend/catalog/namespace.c', 'L': '267', 'R': 'LocalRangeVarGetRelid'}
[SQL: INSERT INTO companies (id, name) VALUES (%s, %s)]
[parameters: [{'name': 'Hoge'}]]
(Background on this error at: https://sqlalche.me/e/14/f405)
I think the problem is that you are trying to insert data also in the ID column with the IDENTITY option set.
SQL: INSERT INTO companies (id, name) VALUES (%s, %s)
If I execute SQL directly on a Redshift table I get the following error.
ERROR: cannot set an identity column to a value.
Please tell me how to define the auto-populated ID column in sqlalchemy-redshift model?

SQLAlchmemy — get related objects with reflected tables

I am quite new to sqlalchemy, I guess I am missing just a little piece here.
There is this Database (sql):
create table CEO (
id int not null auto_increment,
name char(255) not null,
primary key(id),
unique(name)
);
create table Company (
id int not null auto_increment,
name char (255) not null,
ceo int not null,
primary key(id),
foreign key(ceo) references CEO(id)
);
That code:
from sqlalchemy import create_engine, Table, Column, Integer, String, ForeignKey
from sqlalchemy.orm import registry, relationship, Session
engine = create_engine(
"mysql+pymysql:xxxxxxxx",
echo=True,
future=True
)
mapper_registry = registry()
Base = mapper_registry.generate_base()
#####################
## MAPPING CLASSES ##
#####################
class CEO(Base):
__table__ = Table('CEO', mapper_registry.metadata, autoload_with=engine)
companies = relationship('Company', lazy="joined")
class Company(Base):
__table__ = Table('Company', mapper_registry.metadata, autoload_with=engine)
##########################
## FINALLY THE QUESTION ##
##########################
with Session(engine, future=True) as session:
for row in session.query(CEO).all():
for company in row.companies:
## Just the id of the Ceo is yielded here
print(company.ceo)
So CEO.companies works as expected, but Company.ceo does not, even though the FOREIGN KEY is defined.
What is a proper setup for the Company Mapper class, such that Company.ceo yields the related object?
I could figure out, that the automatic setup did not work, because the column Company.ceo exists in the Database and represents the ID of a given row. To make everything work, I needed to rename Company.ceo to Company.ceo_id and add the relation manually like so:
CompanyTable = Table('Company', Base.metadata, autoload_with=engine)
class Company(Base):
__table__ = CompanyTable
ceo_id = CompanyTable.c.ceo
ceo = relationship('CEO')
I would like to know if it would be possible to rename the column within the Table(…) call, such that I could get rid of the extra CompanyTable thing.

SQLAlchemy - Auto Lookup Foreign Key Relationship for Insert

I am trying to get an SQLAlchemy ORM class to automatically:
either lookup the foreign key id for a field
OR
for entries where the field isn't yet in foreign key table, add the row to the foreign key table - and use the auto generated id in the original table.
To illustrate:
Class Definition
class EquityDB_Base(object):
#declared_attr
def __tablename__(cls):
return cls.__name__.lower()
__table_args__ = {'mysql_engine': 'InnoDB'}
__mapper_args__= {'always_refresh': True}
id = Column(Integer, primary_key=True)
def fk(tablename, nullable=False):
return Column("%s_id" % tablename, Integer,
ForeignKey("%s.id" % tablename),
nullable=nullable)
class Sector(EquityDB_Base, Base):
name = Column(String(40))
class Industry(EquityDB_Base, Base):
name = Column(String(40))
sector_id = fk('sector')
sector = relationship('Sector', backref='industries')
class Equity(EquityDB_Base, Base):
symbol = Column(String(10), primary_key=True)
name = Column(String(40))
industry_id = fk('industry')
industry = relationship('Industry', backref='industries')
Using the Class to Set Industry and Sector
for i in industry_record[]:
industry = Industry(id=i.id,
name=i.name,
sector=Sector(name=i.sector_name))
session.merge(industry)
Result
Unfortunately, when I run this - the database adds individual rows to the sector table for each duplicate use of 'sector_name' - for instance, if 10 industries use 'Technology' as their sector name, I get 10 unique sector_id for each one of the 10 industries.
What I WANT - is for each time a sector name is presented that is already in the database, for it to auto-resolve to the appropriate sector_id
I am clearly just learning SQLAlchemy, but can't seem to figure out how to enable this behavior.
Any help would be appreciated!
See answer to a similar question create_or_get entry in a table.
Applying the same logic, you would have something like this:
def create_or_get_sector(sector_name):
obj = session.query(Sector).filter(Sector.name == sector_name).first()
if not obj:
obj = Sector(name = sector_name)
session.add(obj)
return obj
and use it like below:
for i in industry_record[:]:
industry = Industry(id=i.id,
name=i.name,
sector=create_or_get_sector(sector_name=i.sector_name))
session.merge(industry)
One thing you should be careful about is which session instance is used there in the create_or_get_sector.

Joining 2 Tables on Multiple Non Foreign Key Columns in Flask with SQLAlchemy and Retrieving All Columns

I have a few tables shown below that I would like to join on columns that are not foreign keys to each other's tables and then have access to the columns of both. Here are the classes:
class Yi(db.Model):
year = db.Column(db.Integer(4), primary_key=True)
industry_id = db.Column(db.String(5), primary_key=True)
wage = db.Column(db.Float())
complexity = db.Column(db.Float())
class Ygi(db.Model, AutoSerialize):
year = db.Column(db.Integer(4), primary_key=True)
geo_id = db.Column(db.String(8), primary_key=True)
industry_id = db.Column(db.String(5), primary_key=True)
wage = db.Column(db.Float())
So, what I would like to get are the columns of both tables joined by the IDs I specify, in this case Year and industry_id. Is this possible? Here is the SQL I've written to achieve this...
SELECT
yi.complexity, ygi.*
FROM
yi, ygi
WHERE
yi.year = ygi.year and
yi.industry_id = ygi.industry_id
One dirty way is :
q=session.query(Ygi,Yi.complexity).\
filter(Yi.year==Ygi.year).\
filter(Yi.industry_id==Ygi.industry_id)
Which gives you :
SELECT ygi.year AS ygi_year, ygi.geo_id AS ygi_geo_id,
ygi.industry_id AS ygi_industry_id, ygi.wage AS ygi_wage,
yi.complexity AS yi_complexity
FROM ygi, yi
WHERE yi.year = ygi.year
AND yi.industry_id = ygi.industry_id
I find this dirty because it does not use the join() method.
You can figure out how to use the join() with the SQLAlchemy documentation
Then, you can choose to use a virtual model : see answer of TokenMacGuy in this question Mapping a 'fake' object in SQLAlchemy.
It will be a good solution.
Or you will just have a YiYgi class that will not be a sqlalchemy.Base derived class but just an object. It more a "hand-fashion" way to do it.
The class will have a classmethod get() method that will:
call the query you build just before,
call the init with the returned request lines and build up one instance per line
This is an example :
class YiYgi(object):
def __init__(self,year, geo_id, industry_id, wage, complexity):
# Initialize all your fields
self.year = year
self.geo_id = geo_id
self.industry_id = industry_id
self.wage = wage + 100 # You can even make some modifications to the values here
self.complexity = complexity
#classmethod
def get_by_year_and_industry(cls, year, industry_id):
""" Return a list of YiYgi instances, void list if nothing available """
q = session.query(Ygi,Yi.complexity).\
filter(Yi.year==Ygi.year).\
filter(Yi.industry_id==Ygi.industry_id)
results = q.all()
yiygi_list = []
for result in results:
# result is a tuple with (YGi instance, Yi.complexity value)
ygi_result = result[0]
yiygi = YiYgi(ygi_result.ygi_year,
ygi_result.geo_id,
ygi_result.industry_id,
ygi_result.wage,
result[1])
yiygi_list.append(yiygi)
return yiygi_list

Squeryl: KeyedEntity.id isn't updated on insert

I have a table definition
class Transaction(
val ...
) extends KeyedEntity[Long] {
val id:Long = 0
}
val transaction = table[Transaction]("transactions")
on(transaction) {t =>
declare(
t.id is unique
... (other fields)
)
}
The database table was not generated by Squeryl (I created it manually), but the "ID" column is set to PrimaryKey and AutoIncrement.
Now I'm inserting a row in this table:
val row = new Transaction(...)
val rowResult = transaction.insert(row)
println("Id1="+row.id+"; Id2="+rowResult.id)
The row is correctly inserted into the database and there an ID is assigned (!=0).
But the application prints "ID1=0; ID2=0" on the command line.
Why? And how do I get the assigned ID?
edit:
I did also try the table definition this way
class Transaction(
val id: Long,
...
) extends KeyedEntity[Long]
Didn't make any differences.
When I remove the declaration
t.id is unique
it works. So the problem is solved.
Is this a bug in squeryl?