4590ade6ba01e0166c0a851f1/p1_1.jpg) Firebird Generator Guide A guide on how and when to use generators in Firebird Frank Ingermann Version 0.3, 27 June 2020 ## Table of Contents 1. Introduction 3 2.3. Where are generators stored? ..... 3 2.4. What is the maximum value of a generator? ..... 4 2.4.1. Client dialects and generator values ..... 5 2.5. How many generators are available in one 5 2.5.1. Older InterBase and Firebird versions ..... 6 2.6. Generators and transactions ..... 6 3. SQL statements for generators ..... 7 3.1. Statement overview ..... 7 3.1.1. Firebird 2 recommended

373 18.1 Commands ..... 373 18.2 conanfile.txt ..... 451 18.3 conanfile.py ..... 453 18.4 Generators ..... 546 18.5 Profiles ..... 586 18.6 Build helpers ..... 592 18.7 Tools ..... 618 18 install ## Consume packages in build system via generators $ cat conanfile.txt [requires] zlib/1.2.11 [generators] cnake_find_package msbuild make ## I nstall requirements and configuration: [requires] boost/1.72.0 → graph poco/1.9.4 [build_requires] → application 7zip/16.00 [generators] → dependency information, make → settings and options [options] → dependency graph boost:shared=True

327 16.1 Commands ..... 327 16.2 conanfile.txt ..... 399 16.3 conanfile.py ..... 401 16.4 Generators ..... 447 16.5 Profiles ..... 485 16.6 Build helpers ..... 490 16.7 Tools ..... 516 16 'building', 'networking', 'server', 'mobile', 'embedded') generators: cmake exports: None exports_sources: CMakeLists.txt short_paths: False apply_env: True build_policy: project's folder with the following content: Listing 2: conanfile.txt [requires] poco/1.9.4 [generators] (continues on next page) cmake (continued from previous page) In this example we are using CMake

otherwise noted, the test database used for this document is empty of all user tables, indices, generators etc. It was created on a 32-bit Linux system running on Intel hardware. It is therefore little database file(s) are created; • The header page is formatted and written; • The various system tables—RDB$ and MON$—and associated indices are created, and appropriate pages formatted and written to disc; sequence of pages and the type 8 page holds blob data. 0x09 Generator Page. Holds an array of 64 bit generators. 0x0a Page 2 of any database is a Write Ahead Log page. These pages are no longer used. The page

... 3 2.3. Wo werden Generatoren gespeichert? ..... 3 2.4. Was ist der maximale Wert eines Generators? ..... 4 2.4.1. Client-Dialekte und Generatorwerte ..... 5 2.5. Wie viele Generatoren sind Sequenz bzw. eines Generators in Firebird 2: CREATE SEQUENCE SeqTest; #### 2.3. Wo werden Generatoren gespeichert? Die Deklarationen von Generatoren werden in der Systemtabelle RDB$GENERATORS abgelegt. Ihre Systemtabelle RDB$GENERATORS manipulierst. (Ein SELECT kann allerdings nicht schaden). Die Struktur der RDB$GENERATORS Systemtabelle sieht wie folgt aus: • RDB$GENERATOR_NAME CHAR(31) • RDB$GENERATOR_ID

SeqTest; #### 2.3. Где хранятся генераторы? Декларации генераторов хранятся в системной таблице RDB$GENERATORS. Однако, их значения хранятся на специальных зарезервированных страницах внутри базы данных. изменения таблицы RDB$GENERATORS. (Хотя оператор SELECT и не наделает бед.) Структура системной таблицы RDB$GENERATORS следующая: • RDB$GENERATOR_NAME CHAR(31) • RDB$GENERATOR_ID SMALLINT • RDB$SYSTEM_FLAG RDB$SYSTEM_FLAG SMALLINT И для СУБД Firebird 2.0 и более старших версий: • RDB$DESCRIPTION BLOB subtype TEXT Обратите внимание, что GENERATOR_ID является идентификатором для каждого генератора (о чем и говорит это

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 19.10. SHOW GENerators. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . will create and own the file. To test the newly created database type: SQL>SELECT RDB$RELATION_ID FROM RDB$DATABASE; RDB$RELATION_ID =============== 128 SQL> commit; To get back to the command prompt type select 600+60+6 as The_Beast from rdb$database; THE_BEAST ===================== 666 SQL> set term + ; SQL> select 600+60+6 as The_Beast from rdb$database+ Statement failed, SQLSTATE

Eingebaute Skalarfunktionen ..... 398 8.1. Kontextfunktionen ..... 398 8.1.1. RDB$GET_CONTEXT() ..... 398 8.1.2. RDB$SET_CONTEXT() ..... 401 8.2. Mathematische Funktionen ..... 402 8.2.1. ABS() Benutzerauthentifizierung ..... 524 13.1.1. Besonders privilegierte Benutzer ..... 525 13.1.2. RDB$ADMIN-Rolle ..... 526 13.1.3. Administratoren ..... 531 13.2. SQL-Anweisungen für die Benutzerverwaltung 1. SET ROLE ..... 569 14.1.2. SET TRUSTED ROLE 570 Anhang A: Zusatzinformationen 572 Das Feld RDB$VALID_BLR 572 Funktionsweise der Invalidierung 572 Ein Hinweis zur Gleichheit 574 Anhang B: Fehlercodes

305 . Built-in Functions ..... 309 8.1. Context Functions ..... 309 8.1.1. RDB$GET_CONTEXT() ..... 309 8.1.2. RDB$SET_CONTEXT() ..... 311 8.2. Mathematical Functions ..... 312 8.2.1. ABS() 8.7.2. GEN_UUID() ..... 357 8.7.3. UUID_TO_CHAR() ..... 358 8.8. Functions for Sequences (Generators) ..... 359 8.8.1. GEN_ID() ..... 359 8.9. Conditional Functions ..... 360 8.9.1. COALESCE() 397 11.1. User Authentication ..... 397 11.1.1. Specially Privileged Users ..... 397 11.1.2. RDB$ADMIN Role ..... 399 11.1.3. Administrators ..... 402 11.1.4. SQL Statements for User Management

unrepeated keys or introducing sequence generation services. We have provided several built-in key generators, such as UUID, SNOWFLAKE. Besides, we have also extracted a key generator interface to make users spring.shardingsphere.rules.sharding.key-generators..type = # Key generate algorithm type spring.shardingsphere.rules.sharding.key-generators..props algorithm configuration spring.shardingsphere.rules.sharding.key-generators.snowflake.type=SNOWFLAKE spring.shardingsphere.rules.sharding.key-generators.snowflake.props.worker-id=123 # read query configuration