Every application uses data handling and storing, so you will need a database. Nowadays, there are tons out on the market, so you can become confused with which one to choose. Well, it highly depends on what your soon to be app is about.
The MySQL error log is generated by default; you can generate the slow query and general logs by setting parameters in your DB parameter group. You can also access MySQL logs by directing the logs to a database table in the main database and querying that table. You can use the mysqlbinlog utility to download a binary log.
You can view mysql-error. Each log file has the hour it was generated in UTC appended to its name. The log files also have a timestamp that helps you determine when the log entries were written. MySQL writes to the error log only on startup, shutdown, and when it encounters errors.
A DB instance can go hours or days without new entries being written to the error log. You can control MySQL logging by using the parameters in this list: To create the slow query log, set to 1. The default is 0.
To create the general log, set to 1. To prevent fast-running queries from being logged in the slow query log, specify a value for the shortest query execution time to be logged, in seconds. The default is 10 seconds; the minimum is 0. To log all queries that do not use an index to the slow query log, set to 1.
FILE— Write both general and slow query logs to the file system. Log files are rotated hourly. When logging is enabled, Amazon RDS rotates table logs or deletes log files at regular intervals.
This measure is a precaution to reduce the possibility of a large log file either blocking database use or affecting performance. When FILE logging is enabled, log files are examined every hour and log files older than 24 hours are deleted.
In these cases, the largest log files are deleted until the log file size no longer exceeds the threshold. This rotation occurs if the space used by the table logs is more than 20 percent of the allocated storage space or the size of all logs combined is greater than 10 GB.
Log tables are then rotated if the space used by the table logs is more than 10 percent of the allocated storage space or the size of all logs combined is greater than 5 GB.
When log tables are rotated, the current log table is copied to a backup log table and the entries in the current log table are removed. If the backup log table already exists, then it is deleted before the current log table is copied to the backup.
You can query the backup log table if needed. The backup log table for the mysql. You can rotate the mysql. Table logs are rotated during a database version upgrade. Like the MySQL error log, these log files are rotated hourly. The log files that were generated during the previous 24 hours are retained.
For more information about the slow query and general logs, go to the following topics in the MySQL documentation: With CloudWatch Logs, you can perform real-time analysis of the log data, and use CloudWatch to create alarms and view metrics.
You can use CloudWatch Logs to store your log records in highly durable storage. The error log is enabled by default. The following table summarizes the requirements for the other MySQL logs.A flat file database is a database designed around a single table.
The flat file design puts all database information in one table, or list, with fields to represent all parameters. A flat file may contain many fields, often, with duplicate data that are prone to data corruption.
The relational database model was developed and implemented in the early 's, primarily by IBM. Flat File Databases Flat file databases are typically plain text files that store one record per line, with record fields delimited by whitespace or a delimiting character.
Relational databases will, however, require a structuring “container” often referred to as a database “server” which stores and interprets the “metadata” defining the content. Although there are sets of standards each relational database can be structured for, they typically require an “interpreter” tool to edit or view the data.
Flat file and relational databases. A database is a collection of data, which is organized into files called tables. These tables provide a systematic way of accessing, managing, and updating data.
A text file is sometimes called a flat file especially when comparing to a relational database. This is because a relational database is built to highlight how some data relates to other data.
Relational databases store and manage data in a traditional table format, with each piece of data organized into a row and a column.
Columns hold the data of a single type or field, like first name, order number, or the image link of a product logo.