WebJul 16, 2014 · 1 Answer. A case statement can only return one data type. So convert the numbers to strings: SELECT CASE WHEN fourthlevel.case_type IN ('Complaint') THEN (SELECT cast (COUNT (*) as varchar2 (255)) FROM work_days1 WHERE work_days1.business_date > fourthlevel.cdate AND work_days1.business_date <= … WebSummary: in this tutorial, you will learn about most commonly used SQL data types including character string data types, numeric data types, and date time data types.. In a …
How To Check Column Data Types In SQL Server Database - Big …
WebSQL Server comes with the following data types for storing a date or a date/time value in the database: DATE - format YYYY-MM-DD. DATETIME - format: YYYY-MM-DD HH:MI:SS. SMALLDATETIME - format: YYYY-MM-DD HH:MI:SS. TIMESTAMP - format: a unique number. Note: The date types are chosen for a column when you create a new table in … WebSQL Data Type is an attribute that specifies the type of data of any object. Each column, variable and expression has a related data type in SQL. You can use these data types while creating your tables. You can choose a data type for a table column based on your requirement. SQL Server offers six categories of data types for your use which are ... dr wellness pr code
How to Check a Column’s Data Type in SQL
WebSep 21, 2024 · The BIT data type is an integer data type that can take a value of 1, 0, or NULL. Share. Improve this answer. ... How to check if a column exists in a SQL Server table. 2354. How to concatenate text from multiple rows into a single text string in SQL Server. 532. Should you choose the MONEY or DECIMAL(x,y) datatypes in SQL … WebMay 29, 2012 · The way you're looking for, you don't. All the values in the same column must be the same data type. If your data had NOT NULL values in some rows (returning the column's data-type) and NULL values in other rows (returning a different data type, as per your CASE statement), you would break this requirement.. You could have two extra … WebMar 18, 2016 · 3 Answers. Sorted by: 5. You can read the Hive table as DataFrame and use the printSchema () function. In pyspark repl: from pyspark.sql import HiveContext hive_context = HiveContext (sc) table=hive_context ("database_name.table_name") table.printSchema () And similar in spark-shell repl (Scala): comfortably cool mattress topper