pypika | python SQL query builder that exposes the full richness | SQL Database library
kandi X-RAY | pypika Summary
kandi X-RAY | pypika Summary
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
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Top functions reviewed by kandi - BETA
- Project query builder
- Select a field
- Add a select term to the selection
- Return the version number
- Create a join
- Add a criterion to the query builder
- Validate the table
- Construct a list of tables
- Make tables
- Get the sql for the field
- Format an alias
- Add the sql to the database
- Returns the sql for the analysis
- Generate set SQL statement
- Whether the function is aggregate
- Returns the sql for the aggregate function
- Adds the given fields to the query
- Generate a sql statement for the query
- Returns the SELECT portion of the query
- Apply pagination to querystring
- Validates the join criterion
- Generate the sql for the field
- Generate the SQL for for update
- Generates the SQL for for update
- Get the sql for this query
- Get the SQL statement for this query
pypika Key Features
pypika Examples and Code Snippets
Lines of Code : 6License : Strong Copyleft (CC BY-SA 4.0)
Copy>>> from pypika import Query
>>> from pypika.terms import Function
>>> account_id = 1
>>> Query.from_(Function('get_accounts', account_id)).select("*")
'SELECT * FROM get_accounts(1)'
&{tableFilter}= Create Dictionary
Set To Dictionary ${tableFilter} table_name=GENERAL
def get_query_with_filter_conditions(table_name, *column, **where):
import operator
operations = {
'Equal': operator.eq,
'NotEqual': operator.ne,
'LessThan': operator.lt,
'LessThanOrEqual': operator.le,
'GreaterThan': operator.gt,
'GreaterThanOrEqual': operator.ge,
}
from pypika import Table, Field, Query
from typing import List, Callable
import operator
def gen_my_query(varname: str,
my_operator: Callable,
permitted_value: int,
my_table: str,
sSELECT `id`,`username` FROM `users`
from pypika import functions as fn
tbl = Table('thingsTable')
q = Query.from_(tbl).where(
tbl.ID.isin(tbl.groupby(tbl.Car, tbl.Road, tbl.House).select(fn.Min(tbl.Id)))
).select(
tbl.Id,tbl.Car,tbl.House,tbl.Road
).orderby(tbl.Id)
table = Table('student')
query = Query.from_(table)
case = Case()
case = case.when(table.marks >= 90,'A+')
case = case.else_('B+').as_('Grade')
query = query.select(table.name,
table.age,
table.Community Discussions
Trending Discussions on pypika
QUESTION
I'm trying to get the names of the columns from a table in an Azure SQL database using a PyPika SQL query, but keep running into trouble. Here's the code I'm using to generate the query:
...ANSWER
Answered 2022-Feb-24 at 20:47It apparently has an API to schema-qualify tables.
from pypika import Table, Query, Schema
views = Schema('views')
q = Query.from_(views.customers).select(customers.id, customers.phone)
https://pypika.readthedocs.io/en/latest/2_tutorial.html#tables-columns-schemas-and-databases
QUESTION
Wondering how to select data from stored function in postgresql DBMS by pypika?
Is there any function or at least possibility to run own query? For instance, select * from get_accounts()
Searched for these and didn't find any solved issue, didn't find querying from stored procedures/functions
...ANSWER
Answered 2021-Jan-12 at 13:45If you want to achieve select * from get_accounts() you can simply define the stored function call as a Function and add it to the from_ clause. If your account_id is for instance 1 you can do:
QUESTION
I'm trying to make an open source contribution to a python module that is hosted on Github (pypika).
I cloned the repo from github and ran pip in editable install mode such that any future imports would point to my version of the code.
But when I try running a test file within the repo, I get an error when trying to import the module. What am I doing wrong? How can I make it so that the import will use the modified module that I'm working on?
...ANSWER
Answered 2020-Dec-08 at 21:50PyPika maintainer here. In order to contribute it's best to make a fork on Github and put your contributions in a separate branch which you can then pull request.
In order to run the tests you simply need to execute python -m unittest in the project folder of PyPika. (Or use the Python test runner functionality of your favourite IDE.)
pip install -e /Users/me/Dev/pypika will work if executed in the environment of the project in which you want to use PyPika.
QUESTION
I am working on Robot Framework, one of my base method is written in python for building a SQL query with n columns and multiple where conditions. The function looks like,
...ANSWER
Answered 2020-Sep-23 at 02:53The issue is due to key value pair in the dictionary. One of the key in the dictionary
QUESTION
Today, Suddenly my robot Runner.py was not working. Basically Runner.py contains the command line commands to run my robot testcases based on the tags. Evreytime when the Runner.py is ran, a requirements.txt file will be executed and all the libraries in it will be installed by python intepreter.
...ANSWER
Answered 2020-Aug-12 at 17:50It is not easy to understand what is going on. When you say:
Till Yesterday all this commands were working perfectly, but today it was not working, the first error I got is
unexpected error: valueerror: not enough values to unpack (expected 3, got 1) robot
The first thing you need is to identify where that error is coming from. Maybe the omitted lines before the error, could help to do that.
One problem I see in this (strange) way to install and run robot, is the fact that you do not set specific versions for the packages. If a new version of a package causes and error, then you may be in the current situation.
QUESTION
How do I generate an IF statement in PyPika?
I am trying to generate a BigQuery query that pivots a row to a column. I found that if I use the following in a query (where date_range is from a WITH statement):
...ANSWER
Answered 2020-Jun-01 at 17:45Not sure if it applies but be sure to also check whether the CASE statement can help you.
Other than that you can either subclass PyPika's Function class and overwrite get_sql and use that or (ab)use the CustomFunction and PseudoColumn utility classes like this:
QUESTION
I'm a bit confused to uses multiple conditions while generating queries using pypika with the operator.
...ANSWER
Answered 2020-Apr-13 at 19:16Use a python dict, like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install pypika
You can use pypika like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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