#DBSCHEMA SUPPORT MANUAL#
#DBSCHEMA SUPPORT VERIFICATION#
#DBSCHEMA SUPPORT CODE#

The celesta.log table consists of the following fields: Field IDДЄutoincremented integer entry number in the log table Records are made by the system while in profiling mode. New entries are automatically appended by the system each time the data is changed, but only for tables and actions specified in celesta.logsetup. celesta.logsetupДЇilled in by the administrator. Permissions for roles to work with tables.ДЇilled in by the administrator. errolesД¬onnections between user IDs (logins) and roles.ДЇilled in by the administrator. are stored here (see the Permissions Management section for more information on roles with system names). Roles are added here and roles with system names 'reader', 'editor', etc.

Table type field indicates whether the entry is a table ('T') or a view ('V'). celesta.tablesД¬ontents of this table automatically synchronize with the list of tables and views available in Celesta grains, the user should not interfere with the data in this table (the changes will be lost during the next synchronization anyway).

#DBSCHEMA SUPPORT MANUAL#

Managed automatically, manual changes by the solution developer are limited to setting the 'recover' state to grains after failed attempts to upgrade automatically and deleting entries related to deleted grains. Data access class (cursor)ДЄ class generated automatically on the basis of CelestaSQL script and used for interaction with table, view and sequence data. Part of the startup sequence, which involves comparing the existing database structure to Celesta score set by grain creation scripts.ДЄfter comparison, the differences are eliminated with automatically created and executed CREATE/ALTER SQL commands. The database migrates automatically if necessary and possible. Sequences executed by Celesta for every grain on startup. Information from this table is used extensively during startup sequence. The table contains information on state of grains in the database.ДЇield description can be found in the Celesta System Tables section. ains tableД®xistence of the table indicates that Celesta is connected to the corresponding database, otherwise it will try to create one from scratch. See the 'celesta' grain description in the System Tables section. This grainвЂ™s tables are used for the systemвЂ™s internal needs.ДЄt the same time, recording and editing the data in some of these tables are standard procedures during system configuration. Celesta system grainДЄ special grain with an unchangeable table structure.

#DBSCHEMA SUPPORT VERIFICATION#

To simplify verification and ensure the algorithm transparency, the checksum consists of two values: the script file length (written down as a decimal integer) and its CRC32 (written down as eight hexadecimal integers). Simultaneous match of a version tag and a grain checksum is enough to continue operation without trying to upgrade the database structure. Helps to differentiate CelestaSQL scripts by their contents.Д¬elestaSQL scripts with identical version tags might intentionally (during development) or unintentionally (due to developerвЂ™s carelessness) have different contents.Дatabase created automatically using CelestaSQL script not only has a version tag, but also contains a grain creation script checksum to give an opportunity to track the moment it was connected by an application with an altered database definition script. Grain checksumДЄn automatically calculated script checksum. It prevents unintentional automatic database downgrade at the launch of an older version of CelestaSQL with a newer version database.ДЄutomatic database migration never takes place if the database version tag is higher than the grain script version tag or the versions do not align. Creating CelestaSQL Scripts Based on the Structure of an Existing DatabaseДЄ version identifier in the form of a list of components separated with commas, explicitly provided by the developer in the CREATE GRAIN вЂ¦вЂ‹ VERSION вЂ¦вЂ‹ command. Synchronyzing Celesta Score and DBSchema Project Notes on Using Supported RDBMS in Celesta Use Iteration instead of Navigation in Cycles Ensure Efficient Caching when Working in Iterations Use Sorting at the Database Level to Find Min./Max. Do not Use count() Only to Determine if the Data Range is not Empty Do not Read before Deleting if not Necessary Methods not Addressing the Database are Fast Limit the Set of the Columns Fetched by Cursor Close the Cursors Created in the Iteration Explicitly Metadata and Dynamic Metadata Modification Permissions Management and Change Logging Access Classes and Their Standard Methods Working with Data Using Data Access Classes (Cursors)

#DBSCHEMA SUPPORT CODE#

Creating and Testing Data Access and Modification Code Total or Partial Disabling of Automatic Migration

Dbschema support