![]() Common table expressions allow you define tables at the top of your query rather than in-line as sub-queries. Playbook reports use common table expressions to help you format your data to each query. These additional details are noted in the guide for each report. Some reports only require an events table, while others might require additional information. One column should be a user_id, which matches to the user_id in the first table one column should be the event_name, which is how you identify which action a user took and one column should be called occurred_at, and is a timestamp of when this event took place. Events can be logins, purchases, clicks, screen views, or any other action taken by users. This table should include on row per event. Finally, this table should have one row per user. ![]() This represents the first time that user signed up, their first purchase, or any other initializing event. The second column should be an activated_at timestamp. One column should be a user_id, which is a unique identifier for that user. This table is expected to have one row per user (or customer or account), and typically has two columns. The people table can represent users, customers, accounts, or any other type of identity. Most reports use only these two tables, one for people and one for events. The Playbook reports are built on top of a common schema of people and events. The three sections below outline what data is required, how to format reports to fit that data, and how to edit reports to make them compatible with different types of databases. Training=# select '12:38:45.This document outlines how to use Mode Playbook with your data. You can also use ::date, ::time, ::timestamp after values value to convert it to proper format to compare with other column.įor example, select CASE WHEN col1::date = col2 then “Mathing” ELSE “Not Matching” END FROM somedbtable You must explicitly type cast the values to perform the comparison. The type of the SQL comparison parameter must match the type of the column in the database table.įor examples, you cannot use a DATE variable when the target column is a DATETIME. (1 row Using Redshift DATE and DATETIME variables in SQL Comparison Statements Below example demonstrates usage of TIMEZONE function: training=# select TIMEZONE ('GMT',now() ) If you have timezone values, you can use TIMEZONE function to convert timezone value to timestamp. (1 row) Convert Redshift timezone value to timestamp format: ![]() (1 row) Redshift Convert YYYYMMDD to date format:īelow example demonstrate conversion of date value from ‘YYYYMMDD’ format to date format: training=# select date(to_char(20161022,'99999999')) ![]() ![]() (1 row) Redshift Date Format Conversion ExamplesĬonvert Redshift timestamp to YYYYMMDD format: Below example demonstrate conversion of date value to ‘YYYYMMDD’ format using to_char and to_date function: (1 row) Convert a String to timestamp format using TO_TIMESTAMP() Functionīelow is the example to use Redshift TO_TIMESTAMP function to convert string having date time to Redshift timestamp format: training=# Select to_timestamp('', 'DD Mon YYYY') Commonly used Amazon Redshift Date Functions and ExamplesĬonvert a String to Date format using TO_DATE() Functionīelow is the example to use Redshift TO_DATE function to convert string having date to date format: training=# Select TO_DATE( ' 23:45:58','YYYY-MM-DD HH24:MI:SS').Redshift NVL and NVL2 Functions with Examples.Different Redshift Join Types and Examples.You can use the Redshift date format functions to convert the string literals, integer, date/time etc to required format. You can directly convert the format by specifying the cast operator ( ‘::’) such as ::date, ::time, ::timestamp after the date string literal. Amazon Redshift accepts different date formats, including ISO date time strings. Redshift can convert quoted date strings values to datetime data type. TIMESTAMP: for year, month, day, hour, minute, second, fraction (includes 6 decimal positions).TIMESTAMPTZ: same as TIME, also includes time zone information.TIME: for hour, minute, second, fraction with (includes 6 decimal positions). ![]()
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