Firebird 4.0 provides a number of features to discover time zone information. Virtual table RDB$TIME_ZONES A virtual table listing time zones supported in the engine. See also RDB$TIME_ZONES in System NULL | } | DROP DEFAULT}] [{SET | DROP} NOT NULL ] [{ADD [CONSTRAINT] CHECK (<dom_condition>) | DROP CONSTRAINT}] [{TYPE }] Example ALTER DOMAIN STORE_GRP SET DEFAULT CREATE DOMAIN name [AS] [DEFAULT { | NULL | }] [NOT NULL] [CHECK (<dom_condition>)] [COLLATE collation_name] ::= | |

NULL | } | DROP DEFAULT}] [{SET | DROP} NOT NULL] [{ADD [CONSTRAINT] CHECK (<dom_condition>) | DROP CONSTRAINT}] [{TYPE }]; Типы данных 57 CREATE DOMAIN name [AS] [DEFAULT {literal | NULL | }] [NOT NULL] [CHECK (<dom_condition>)] [COLLATE collation]; ::= {SMALLINT | INT[EGER] | BIGINT} [] [CHARACTER SET charset] | BLOB [(seglen [, subtype_num])] ::= [[x:]y [,[x:]y ...]] <dom_condition> ::= { | [NOT] BETWEEN AND | [NOT]

TABLE-Anweisung definieren oder Spalten mit ALTER TABLE ändern • deklarieren oder ändern Sie eine Domäne mit den Anweisungen CREATE DOMAIN oder ALTER DOMAIN • lokale Variablen in Stored Procedures, PSQL-Blöcken Skalarfunktionen. Chapter 3. Datentypen und Untertypen 46 Casting auf eine Domain Beim Casting in eine Domäne werden alle dafür deklarierten Constraints berücksichtigt, d. h. NOT NULL- oder CHECK-Constraints Umwandlung fehl. Wenn zusätzlich TYPE OF angegeben wird — Umwandlung in seinen Basistyp — werden alle Domäneneinschränkungen während der Umwandlung ignoriert. Wird TYPE OF mit einem Zeichentyp (CHAR/VARCHAR)

bibliotecas de acesso a banco de dados fazem consultas aos metadados da tabela, como chave primária, domínio e outras informações da estrutura, visando tornar o desenvolvimento das aplicações clientes uma produtos que podem fornecer essa solução. Você poderia instalar um software que crie uma partição virtual encriptada em seu computador e colocar os arquivos do banco de dados (e qualquer outra informação

for running compute or storage tier component processes. These can either be physical ma‐ chines, virtual machines, or containers, etc. Cluster Multiple nodes that are assembled together to provide a specified and out‐ side the transaction, the round‐ robin strategy is used to route to the replica RAN‐ DOM Within the transaction, read query are routed to the primary, and out‐ side the transaction, the espl itti ng.a lgor ithm .loa dbal ance .Rou ndRo binR eadQ uery Load Bala nceA lgor ithm RAN DOM the read database load balancer algorithm based on random or g.ap ache .sha rdin gsph ere. read

for running compute or storage tier component processes. These can either be physical ma‐ chines, virtual machines, or containers, etc. Cluster Multiple nodes that are assembled together to provide a specified espl itti ng.a lgor ithm .loa dbal ance .Rou ndRo binR eadQ uery Load Bala nceA lgor ithm RAN DOM the read database load balancer algorithm based on random or g.ap ache .sha rdin gsph ere. read a lgor ithm .loa dbal ance .Wei ghtR eadQ uery Load Bala nceA lgor ithm TRA NSA CTI ON_ RAN DOM Whether in a transaction or not, read requests are routed to multiple replicas using a random strat‐

entirely determined by the OVER clause. The rows considered by a window function are those of the “virtual table” produced by the query's FROM clause as filtered by its WHERE, GROUP BY, and HAVING clauses ways using different OVER clauses, but they all act on the same collection of rows defined by this virtual table. We already saw that ORDER BY can be omitted if the ordering of rows is not important. It transformations performed on the table derived in the FROM clause. All these transformations produce a virtual table that provides the rows that are passed to the select list to compute the output rows of the

entirely determined by the OVER clause. The rows considered by a window function are those of the “virtual table” produced by the query's FROM clause as filtered by its WHERE, GROUP BY, and HAVING clauses ways using different OVER clauses, but they all act on the same collection of rows defined by this virtual table. We already saw that ORDER BY can be omitted if the ordering of rows is not important. It list of columns or expressions to be used as the partition key. The partitioned table itself is a “virtual” table having no storage of its own. Instead, the storage belongs to partitions, which are otherwise-ordinary

entirely determined by the OVER clause. The rows considered by a window function are those of the “virtual table” produced by the query's FROM clause as filtered by its WHERE, GROUP BY, and HAVING clauses ways using different OVER clauses, but they all act on the same collection of rows defined by this virtual table. We already saw that ORDER BY can be omitted if the ordering of rows is not important. It transformations performed on the table derived in the FROM clause. All these transforma- tions produce a virtual table that provides the rows that are passed to the select list to compute the output rows of the