Unable to access aliased fields in SQLAlchemy query results? - python

Confused working with query object results. I am not using foreign keys in this example.
lookuplocation = aliased(ValuePair)
lookupoccupation = aliased(ValuePair)
persons = db.session.query(Person.lastname, lookuplocation.displaytext, lookupoccupation.displaytext).\
outerjoin(lookuplocation, Person.location == lookuplocation.valuepairid).\
outerjoin(lookupoccupation, Person.occupation1 == lookupoccupation.valuepairid).all()
Results are correct as far as data is concerned. However, when I try to access an individual row of data I have an issue:
persons[0].lastname works as I expected and returns data.
However, there is a person.displaytext in the result but since I aliased the displaytext entity, I get just one result. I understand why I get the result but I need to know what aliased field names I would use to get the two displaytext columns.
The actual SQL statement generated by the above join is as follows:
SELECT person.lastname AS person_lastname, valuepair_1.displaytext AS valuepair_1_displaytext, valuepair_2.displaytext AS valuepair_2_displaytext
FROM person LEFT OUTER JOIN valuepair AS valuepair_1 ON person.location = valuepair_1.valuepairid LEFT OUTER JOIN valuepair AS valuepair_2 ON person.occupation1 = valuepair_2.valuepairid
But none of these "as" field names are available to me in the results.
I'm new to SqlAlchemy so most likely this is a "newbie" issue.
Thanks.

Sorry - RTFM issue - should have been:
lookuplocation.displaytext.label("myfield1"),
lookupoccupation.displaytext.label("myfield2")
After results are returned reference field with person.myfield
Simple.

Related

How to join two queries in SQLAlchemy?

In this example, I am using the sample MySQL classicmodels database.
So I have two queries:
products = session.query(Products)
orderdetails = session.query(OrderDetails)
Let's assume I cannot make any more queries to the database after this and I can only join these two queries from this point on.
I want to do an outer join on them to be able to do something like this:
for orderdetail, product in query:
print product.productName, product.productCode, orderdetails.quantityOrdered
However, whenever I do an outerjoin on this, I can only seem to get a left join.
query = orderdetails.outerjoin(Products)
Code like this yields only orderdetails columns:
for q in query:
# Only gives orderdetails columns
print q
And doing something like this:
for orderdetails, product in query:
print orderdetails, product
Gives me an error: TypeError: 'OrderDetails' object is not iterable.
What am I doing wrong? I just want columns from the Products table as well.
EDIT:
I have found my solution thanks to #univerio's answer. My real goal was to do a join on two existing queries and then do a SUM and COUNT operation on them.
SQLAlchemy basically just transforms a query object to a SQL statement. The with_entities function just changes the SELECT expression to whatever you pass to it. This is my updated solution, which includes unpacking and reading the join:
for productCode, numOrders, quantityOrdered in orderdetails.with_entities(
OrderDetails.productCode,
func.count(OrderDetails.productCode),
func.sum(OrderDetails.quantityOrdered)).group_by(OrderDetails.productCode):
print productCode, numOrders, quantityOrdered
You can overwrite the entity list with with_entities():
orderdetails.outerjoin(Products).with_entities(OrderDetails, Products)

How to select specific columns of multi-column join in sqlalchemy?

We are testing the possibility to implement SQLAlchemy to handle our database work. In some instances I need to join a database to a clone of itself (with potentially different data, of course).
An example of the SQL I need to replicate is as follows:
SELECT lt.name, lt.date, lt.type
FROM dbA.dbo.TableName as lt
LEFT JOIN dbB.dbo.TableName as rt
ON lt.name = rt.name
AND lt.date = rt.date
WHERE rt.type is NULL
So far I have tried using the join object but I can't get it to not spit the entire join out. I have also tried various .join() methods based on the tutorial here: http://docs.sqlalchemy.org/en/rel_1_0/orm/tutorial.html and I keep getting an AttributeError: "mapper" or not what I'm looking for.
The issues I'm running into is that I need to not only join on multiple fields, but I can't have any foreign key relationships built into the objects or tables.
Thanks to Kay's like I think I figured out the solution.
It looks like it can be solved by:
session.query(dbA_TableName).outerjoin(
dbB_TableName,
and_(dbA_TableName.name == dbB_TableName.name",
dbA_TableName.date == dbB_TableName.date")
).filter("dbB_TableName.type is NULL")`

Web2Py DAL, left join and operator precedence

In my DB, I've basically 3 tables:
usergroup(id, name, deleted)
usergroup_presentation(id, groupid, presentationid)
presentation(id, name)
I'm trying to run this DAL query:
left_join = db.usergroup_presentation.on((db.usergroup_presentation.group_id==db.usergroup.id)
&(db.usergroup_presentation.presentation_id==db.presentation.id))
result = db(db.usergroup.deleted==False).select(
db.usergroup.id,
db.usergroup.name,
db.usergroup_presentation.id,
left=left_join,
orderby=db.usergroup.name)
And SQL returns this errors: Unknown column 'presentation.id' in 'on clause'
The generated SQL looks something like that:
SELECT usergroup.id, usergroup.name, usergroup_presentation.id
FROM presentation, usergroup
LEFT JOIN usergroup_presentation ON ((usergroup_presentation.group_id = usergroup.id) AND (usergroup_presentation.presentation_id = presentation.id))
WHERE (usergroup.deleted = 'F')
ORDER BY usergroup.name;
I did some researches on Google and I got this:
http://mysqljoin.com/joins/joins-in-mysql-5-1054-unknown-column-in-on-clause/
Then I tried to run this query directly in my DB:
SELECT usergroup.id, usergroup.name, usergroup_presentation.id
FROM (presentation, usergroup)
LEFT JOIN usergroup_presentation ON ((usergroup_presentation.group_id = usergroup.id) AND (usergroup_presentation.presentation_id = presentation.id))
WHERE (usergroup.deleted = 'F')
ORDER BY usergroup.name;
And indeed it works when adding the brackets around the FROM tables.
My question is how can I generate a SQL query like this (with brackets) with DAL without executing a basic executesql ?
Even better, I would like to get a cleaner SQL query using INNER JOIN and LEFT JOIN. I don't know if it's possible with my query though.
I believe this has now been fixed in trunk. Please help us check it. P.S. next time open a ticket (https://code.google.com/p/web2py/issues/list) and it will be fixed sooner.

Filtering with joined tables

I'm trying to get some query performance improved, but the generated query does not look the way I expect it to.
The results are retrieved using:
query = session.query(SomeModel).
options(joinedload_all('foo.bar')).
options(joinedload_all('foo.baz')).
options(joinedload('quux.other'))
What I want to do is filter on the table joined via 'first', but this way doesn't work:
query = query.filter(FooModel.address == '1.2.3.4')
It results in a clause like this attached to the query:
WHERE foos.address = '1.2.3.4'
Which doesn't do the filtering in a proper way, since the generated joins attach tables foos_1 and foos_2. If I try that query manually but change the filtering clause to:
WHERE foos_1.address = '1.2.3.4' AND foos_2.address = '1.2.3.4'
It works fine. The question is of course - how can I achieve this with sqlalchemy itself?
If you want to filter on joins, you use join():
session.query(SomeModel).join(SomeModel.foos).filter(Foo.something=='bar')
joinedload() and joinedload_all() are used only as a means to load related collections in one pass, not used for filtering/ordering!. Please read:
http://docs.sqlalchemy.org/en/latest/orm/tutorial.html#joined-load - the note on "joinedload() is not a replacement for join()", as well as :
http://docs.sqlalchemy.org/en/latest/orm/loading.html#the-zen-of-eager-loading

How to filter by joinloaded table in SqlAlchemy?

Lets say I got 2 models, Document and Person. Document got relationship to Person via "owner" property. Now:
session.query(Document)\
.options(joinedload('owner'))\
.filter(Person.is_deleted!=True)
Will double join table Person. One person table will be selected, and the doubled one will be filtered which is not exactly what I want cuz this way document rows will not be filtered.
What can I do to apply filter on joinloaded table/model ?
You are right, table Person will be used twice in the resulting SQL, but each of them serves different purpose:
one is to filter the the condition: filter(Person.is_deleted != True)
the other is to eager load the relationship: options(joinedload('owner'))
But the reason your query returns wrong results is because your filter condition is not complete. In order to make it produce the right results, you also need to JOIN the two models:
qry = (session.query(Document).
join(Document.owner). # THIS IS IMPORTANT
options(joinedload(Document.owner)).
filter(Person.is_deleted != True)
)
This will return correct rows, even though it will still have 2 references (JOINs) to Person table. The real solution to your query is that using contains_eager instead of joinedload:
qry = (session.query(Document).
join(Document.owner). # THIS IS STILL IMPORTANT
options(contains_eager(Document.owner)).
filter(Person.is_deleted != True)
)

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