INSERT INTO floating_point_test (floatn_test, real_test, numeric_test) In this example we’ll create a table that makes use of these three floating-point data types and insert some values to make sure they work as expected. numeric or numeric(p,s): is a real number with p digits with s number after the decimal point.real: is a 4-byte floating-point number.float(n): is a floating-point number whose precision is at least, n, up to a maximum of 8 bytes.In PostgreSQL there are three main types of floating-point numbers: When we view the data in the table, we can see that the album_id column has been correctly incremented. In this example we’ll create a table that makes use of these three integer data types and insert some values to make sure they work as expected. SERIAL: Same as an integer except that PostgreSQL will automatically generate and populate values similar to AUTO_INCREMENT in MySQL.SMALLINT: a 2-byte signed integer that has a range from -32,768 to 32,767.There are three kinds of integers in PostgreSQL: SQL Error : ERROR: value too long for type character(4)Īnd SQL Error : ERROR: value too long for type character varying(16) Integers However, if we run the insert below, it will fail because the first two values are too big for the columns. ![]() 'This is a test data for the text column' Next, let’s load data into the table: INSERT INTO char_types (a, b, c) To test YugabyteDB’s support for character types, let’s create a table that has columns with these types specified: CREATE TABLE char_types ( text, varchar: variable unlimited length.In PostgreSQL there are three primary character types (where n is a positive integer.) INSERT INTO ticket_sales (concert_id, available)įinally, let’s select out just the values that are TRUE, to verify it works as expected. Next, let’s insert into the table all the acceptable boolean values. Let’s test boolean compatibility in YugabyteDB by first creating a table with a boolean column. Here are the accepted boolean values in PostgreSQL: The boolean data type is what PostgreSQL uses to store true, false, and null values. Yugabyte’s SQL API ( YSQL) and drivers are PostgreSQL wire compatible. What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. You can find a quick list of supported data types in our docs. In this blog post we’ll be focusing on PostgreSQL data types, and test their compatibility with YugabyteDB. However, not all data types are supported by every relational database vendor, so your mileage may vary depending on the RDBMS you use. Miscellaneous data types such as clob, blob, xml, cursor, and table.Binary data types such as binary and varbinary.Unicode character string data types such as nchar, nvarchar, and ntext.Character and String data types such as char, varchar, and text.Date and Time data types such as date, time, and datetime.Numeric data types such as int, tinyint, bigint, float, and real.Generically, SQL data types can be broadly divided into following categories. Enforcing what type of data can go into a column has the added benefit of helping with storage and in some cases, query performance. For example, if we want a column to store only integer values, we can specify that the column be an int column. In the world of databases, data types restrict what can be considered as valid values in a table’s column.
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