Getting random records Paginating records Counting records Aggregating records Retrieving Scalar Values Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Common Table Expressions (30000, 50000) Window functions A Window function refers to an aggregate function that operates on a sliding window of data that is being processed as part of a SELECT query. Window functions make it row value to a value in the preceding (or succeeding!) row(s). peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing in your partitioning or ordering

50000) 1.7.16 Window functions A Window function refers to an aggregate function that operates on a sliding window of data that is being processed as part of a SELECT query. Window functions make it row value to a value in the preceding (or succeeding!) row(s). peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing in your partitioning or ordering the counter field (1, 2, and 3). We can do this by calculating the AVG() of the value column over a window that is partitioned depending on the counter field: query = Sample.select( Sample.counter, Sample

Retrieving Scalar Values SQL Functions, Subqueries and “Raw expressions” Security and SQL Injection Window functions Retrieving raw tuples / dictionaries Returning Clause Query operators Three valued logic You can also find this parameter by checking Database.interpolation. Window functions peewee comes with basic support for SQL window functions, which can be created by calling fn.over() and passing in order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs [http://www.postgresql.org/docs/9.1/static/tutorial-window.html]. Retrieving raw tuples / dictionaries Sometimes

also find this parameter by checking Database.interpolation. 1.8.18 Window functions peewee comes with basic support for SQL window functions, which can be created by calling fn.over() and passing in name, Employee.salary, fn.rank().over( order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs. 1.8.19 Retrieving raw tuples / dictionaries Sometimes unordered_users = users.order_by() window(*windows) Parameters windows (Window) – One or more Window instances. Add one or more window definitions to this query. window = Window(partition_by=[fn.date_trunc('day'

Retrieving Scalar Values SQL Functions, Subqueries and “Raw expressions” Security and SQL Injection Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Query operators Three This category covers aggregation at length, making use of standard grouping as well as more recent window functions. Count the number of facilities For our first foray into aggregates, we’re going to stick database. You can also find this parameter by checking Database.param. Window functions peewee comes with basic support for SQL window functions, which can be created by calling Function.over() and passing

Getting random records Paginating records Counting records Aggregating records Retrieving Scalar Values Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Foreign Keys and Joins salary), fn.Max(Employee.salary) ... ).scalar(as_tuple=True) (30000, 50000) Window functions peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs [http://www.postgresql.org/docs/9.1/static/tutorial-window.html]. Retrieving row tuples / dictionaries /

Retrieving Scalar Values SQL Functions, Subqueries and “Raw expressions” Security and SQL Injection Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Query operators Three This category covers aggregation at length, making use of standard grouping as well as more recent window functions. Count the number of facilities For our first foray into aggregates, we’re going to stick database. You can also find this parameter by checking Database.param. Window functions peewee comes with basic support for SQL window functions, which can be created by calling Function.over() and passing

Retrieving Scalar Values SQL Functions, Subqueries and “Raw expressions” Security and SQL Injection Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Query operators Three This category covers aggregation at length, making use of standard grouping as well as more recent window functions. Count the number of facilities For our first foray into aggregates, we’re going to stick database. You can also find this parameter by checking Database.param. Window functions peewee comes with basic support for SQL window functions, which can be created by calling Function.over() and passing

Max(Employee.salary) ... ).scalar(as_tuple=True) (30000, 50000) 1.7.16 Window functions peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing name, Employee.salary, fn.rank().over( order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs. 1.7.17 Retrieving row tuples / dictionaries / namedtuples start=None[, end=None[, window=None]]]]]) Parameters • partition_by (list) – List of columns to partition by. • order_by (list) – List of columns / expressions to order window by. • start – A SQL instance

This category covers aggregation at length, making use of standard grouping as well as more recent window functions. Count the number of facilities For our first foray into aggregates, we’re going to stick You can also find this parameter by checking Database.param. 1.8.18 Window functions peewee comes with basic support for SQL window functions, which can be created by calling Function.over() and passing name, Employee.salary, fn.rank().over( order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs. 1.8.19 Retrieving row tuples / dictionaries / namedtuples