for an sqlalchemy query, how to combine ilike search operator with in_ operator?

If it's just about the case insensitive 'in_' statement:

from sqlalchemy
import func

q = session.query(Detail).filter(
   func.lower(Detail.sellers).in_(map(str.lower, names))
)

Otherwise, if you wanted to have multiple 'ilike' statements,

from sqlalchemy
import or_

conditions = []
for name in names:
   conditions.append(Detail.sellers.ilike('%{}%'.format(name)))

q = session.query(Detail).filter(
   or_( * conditions)
)

Suggestion : 2

This section details usage of the operators that are available to construct SQL expressions.,These methods are presented in terms of the Operators and ColumnOperators base classes. The methods are then available on descendants of these classes, including:,Note that when the datatype of the expression is String or similar, the ColumnOperators.__add__() operator instead produces string concatenation.,The Python &, | and ~ operators take high precedence in the language; as a result, parenthesis must usually be applied for operands that themselves contain expressions, as indicated in the examples below.

>>> print(column('x') == 5)
x =: x_1

>>> print(column('x') != 5)
x !=: x_1

>>> print(column('x') > 5)
x >: x_1

>>> print(column('x') < 5)
x <: x_1

>>> print(column('x') >= 5)
x >=: x_1

>>> print(column('x') <= 5)
x <=: x_1

Suggestion : 3

I am writing SQLAlchemy code that takes a search string input and runs a query against my PostgreSQL database. To allow for typos and snippet names, I had this code that did the trick:,This requires exact matches. I would like to combine operator ilike and operator in_ . Is it possible? I tried:,Now I am trying to do the same, but validate a list names that has multiple input values. I did it like this:,Otherwise, if you want to have multiple ilike operators,

I am writing SQLAlchemy code that takes a search string input and runs a query against my PostgreSQL database. To allow for typos and snippet names, I had this code that did the trick:

q = session.query(Detail).filter((Detail.sellers.ilike("%%%s%%" % (name_input)))).all()

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Now I am trying to do the same, but validate a list names

that has multiple input values. I did it like this:

q = session.query(Detail).filter((Detail.sellers.in_(names))

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This requires exact matches. I would like to combine operator ilike

and operator in_

. Is it possible? I tried:

q = session.query(Detail).filter((Detail.sellers.ilike.in_(names))

      (adsbygoogle = window.adsbygoogle || []).push({});

If it is about the case insensitive 'in_' operator:

from sqlalchemy
import func

q = session.query(Detail).filter(
   func.lower(Detail.sellers).in_(map(str.lower, names))
)

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from sqlalchemy
import or_

conditions = []
for name in names:
   conditions.append(Detail.sellers.ilike('%{}%'.format(name)))

q = session.query(Detail).filter(
   or_( * conditions)
)

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Suggestion : 4

This operator checks whether the column value belongs to a collection of items in a list. It is provided by in_() method.,This conjunction is generated by either putting multiple commas separated criteria in the filter or using and_() method as given below −,This conjunction is implemented by or_() method.,Now, we will learn the filter operations with their respective codes and output.

The usual operator used is == and it applies the criteria to check equality.

result = session.query(Customers).filter(Customers.id == 2)

for row in result:
   print("ID:", row.id, "Name: ", row.name, "Address:", row.address, "Email:", row.email)

SQLAlchemy will send following SQL expression −

SELECT customers.id
AS customers_id, customers.name
AS customers_name, customers.address
AS customers_address, customers.email
AS customers_email
FROM customers
WHERE customers.id = ?

The output for the above code is as follows −

ID: 2 Name: Komal Pande Address: Banjara Hills Secunderabad Email: komal @gmail.com

The resulting SQL expression is −

SELECT customers.id
AS customers_id, customers.name
AS customers_name, customers.address
AS customers_address, customers.email
AS customers_email
FROM customers
WHERE customers.id != ?

The output for the above lines of code is as follows −

ID: 1 Name: Ravi Kumar Address: Station Road Nanded Email: ravi @gmail.com
ID: 3 Name: Rajender Nath Address: Sector 40, Gurgaon Email: nath @gmail.com
ID: 4 Name: S.M.Krishna Address: Budhwar Peth, Pune Email: smk @gmail.com

Suggestion : 5

Get highest id or value record SqlAlchemy Query, Delete records query in SQLAlchemy ,Like query Sqlalchemy, Update column values query in SQLAlchemy

#record has 'test'
keyword on any position
session.query(User).filter(User.first_name.like('%test%')).all()

#record has 'test'
keyword on first position
session.query(User).filter(User.first_name.like('test%')).all()

#record has 'test'
keyword on last position
session.query(User).filter(User.first_name.like('%test')).all()

Suggestion : 6

For an SQLAlchemy query, how to combine ilike search operator with in_ operator?,Combine IN Operator values with temporary table,Use id values from one query, to corresponding column with same id in another table,Selecting values that begins with specified value located in the same or other table

Yes. The syntax is:

(CASE WHEN SUBSTRING(article_code, 1, 4) IN(select article_code from temp_table) THEN 'X'
   ELSE 'Y'
   END) AS lup

Suggestion : 7

Work with your app's data entirely in Python by defining data models and using the session object from SQLAlchemy's ORM.,SQLAlchemy's ORM query API simplifies the way we write database queries. Instead of writing raw SQL queries, we can construct queries on our SQLAlchemy session by chaining together methods to retrieve data. We're going to dive into SQLAlchemy's extensive query API to get an idea of all the ways we can query our data.,An alternative way to add data is by using the insert() method. Unlike add(), insert() is called on an SQLAlchemy Table object and doesn't rely on receiving a data model. insert() is not part of the ORM:,Our SQLAlchemy journey thus far has covered managing database connections and model creation. Yet, how do we extract the data we want from our database?

""
"Database engine & session creation."
""
from sqlalchemy
import create_engine
from sqlalchemy.orm
import sessionmaker

engine = create_engine(
   'mysql+pymysql://user:password@host:3600/database',
   echo = True
)
Session = sessionmaker(bind = engine)
session = Session()

""
"Construct database queries from SQLAlchemy sessions."
""
from.database
import session
from.models
import Customer

# Example structure of an ORM query
records = session
   .query(Customer)
   .FUNCTION()

""
"Construct database queries from SQLAlchemy sessions."
""
from.database
import session
from.models
import Customer

# Example structure of an ORM query
records = session
   .query(Customer)
   .METHOD_1()
   .METHOD_2()
   .FUNCTION()

""
"Construct database queries from SQLAlchemy sessions."
""
from.database
import session
from.models
import Customer

# Fetch all customer records
records = session
   .query(Customer)
   .all()

# Loop over records
for record in records:
   print(record)

<Customer model 1>
   <Customer model 2>
      <Customer model 3>
         <Customer model 4>
            <Customer model 5>
               <Customer model 6>
                  <Customer model 7>
                     <Customer model 8>
                        <Customer model 9>
                           <Customer model 10>

...

records = session
   .query(Customer)
   .all()

for record in records:
   pp.pprint(record.__dict__)