This Refcard contains all things MySQL. From MySQL's most important applications, popular features, common data types and commands to how to get started on Linux, this Refcard is a must-read for all developers, DBAs, and other tech professionals working in MySQL.
Introduction to Couchbase for Oracle Developers and Experts: Part 3: Data Types
As part of data remodeling, while moving from the relational model to the JSON model, you’ll have to consider the data type mapping. In Oracle, you’ll have to create and declare the types of each column explicitly before you load the data or write queries. In Couchbase, you simply conform to JSON syntax and the data type interpretation is automatic and implicit. Here’s the overview of mappings, conversion, and arithmetic on these data types.
ReModeling: From Relational to Document Model
Oracle | Couchbase | |||||
Model | Relational, Object-relational | JSON model with N1QL (SQL for JSON) | ||||
Data Types | A long list of data types | https://docs.couchbase.com/server/current/n1ql/n1ql-language-reference/datatypes.html | ||||
String Data types | CHAR, VARCHAR, VARCHAR2, NCHAR, NVARCHAR, LOONGVARCHAR | String, up to 20MB in length. All of the string data in JSON is Unicode. | ||||
Date and Time Data Types | DATE, TIME, TIMESTAMP, all these with TIMEZONE, INTERVAL | Date, Time, Timestamp, all these with timezones should be represented in ISO 8601 format and saved as strings. N1QL has extensive functions for formatting, extraction, conversion, and arithmetic.Migrating From Sakila-MySQL to Couchbase – ETLPart 1 covers setting up the MySQL Sakila database, extracting the data into a JSON or CSV format, and loading that data into Couchbase. Let's look at the steps. 1 - Install MySQL Database, The Shell, MySQL Workbench, and Couchbase 7.0A Handbook to Implement Fuzzy Search in PostgreSQLJust like how software engineering has become polyglot, database systems such as PostgreSQL have increasingly become multi-model,
And a lot more. In this article, we are going to focus on how to implement fuzzy search in PostgreSQL. Comparison of MS SQL Server Data Modeling Tools: Data TypesThis table lists the most widely used data modeling tools currently in use. Tools are compared to Microsoft SQL Server (MSS) supported type. Note that the comparison concerns the support of the 2016 and 2017 SSM version.
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