. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 9. Setting The Database
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . set SQL role name -r(ollback) rollback transaction
-sq(l_dialect) set database dialect n -sw(eep) force garbage collection -sh(utdown) shutdown read/write file system regardless of whether only SELECT statements are run or not. Only databases in dialect 3 can be changed to read only mode. The command to set the required mode for a database is: gfix 0 码力 |
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ESQL nor ISQL flavours are described here unless mentioned explicitly. 2.1.2. SQL Dialects SQL dialect is a term that defines the specific features of the SQL language that are available when Chapter Three dialects are available: • Dialect 1 is intended solely to allow backward comptibility with legacy databases from very old InterBase versions, v.5 and below. Dialect 1 databases retain certain language language features that differ from Dialect 3, the default for Firebird databases. ◦ Date and time information are stored in a DATE data type. A TIMESTAMP data type is also available, that is identical
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ESQL nor ISQL flavours are described here unless mentioned explicitly. 2.1.2. SQL Dialects SQL dialect is a term that defines the specific features of the SQL language that are available when Chapter Three dialects are available: • Dialect 1 is intended solely to allow backward comptibility with legacy databases from very old InterBase versions, v.5 and below. Dialect 1 databases retain certain language language features that differ from Dialect 3, the default for Firebird databases. ◦ Date and time information are stored in a DATE data type. A TIMESTAMP data type is also available, that is identical
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Attempt to fetch past the last record in a record stream 0 335741039 gfix_opt_SQL_dialect -sql_dialect set database dialect n 0 335544875 bad_debug_format Bad debug info format -84 335544554 nonsql_security_rel 18 changed from DOUBLE PRECISION in SQL dialect 1 to 64-bit scaled integer in SQL dialect 3 -104 336003077 sql_db_dialect_dtype_unsupport Database SQL dialect @1 does not support reference to @2 datatype DATE must be changed to TIMESTAMP Firebird 2.1 Error Codes -104 335544796 sql_dialect_datatype_unsupport Client SQL dialect @1 does not support reference to @2 datatype -104 335544798 depend_on_uncommitted_rel
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two SQL “dialects”: dialect 1 and dialect 3. New databases should always be created with dialect 3, which is more powerful in a number of respects. Dialect 1 is a compatibility dialect, to be used only Generator Basics 4 under InterBase 5.6 or earlier. One of the differences between the two is that dialect 1 has no native 64-bit integer type available. NUMERIC(18) columns for instance are stored internally biggest integer type in dialect 1 is the 32-bit INTEGER. In dialect 1 as in dialect 3, generators are 64-bit. But if you assign the generated values to an INTEGER column in a dialect 1 database, they are
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Attempt to fetch past the last record in a record stream 0 335741039 gfix_opt_SQL_dialect -sql_dialect set database dialect n -84 335544554 nonsql_security_rel Table/procedure has non-SQL security class 18 changed from DOUBLE PRECISION in SQL dialect 1 to 64-bit scaled integer in SQL dialect 3 -104 336003077 sql_db_dialect_dtype_unsupport Database SQL dialect %d does not support reference to %s datatype 335544764 transitional_date DATE must be changed to TIMESTAMP -104 335544796 sql_dialect_datatype_unsupport Client SQL dialect %d does not support reference to %s datatype -104 335544798 depend_on_uncommitted_rel
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335544764 transitional_date DATE must be changed to TIMESTAMP -104 335544796 sql_dialect_datatype_unsupport Client SQL dialect does not support reference to datatype -104 335544798 depe 18 changed from DOUBLE PRECISION in SQL dialect 1 to 64-bit scaled integer in SQL dialect 3 -104 336003077 sql_db_dialect_dtype_unsupport Database SQL dialect does not support reference to 335544765 read_only_database Attempted update on read-only database -817 335544766 must_be_dialect_2_and_up SQL dialect is not supported in this database -817 335544793 ddl_not_allowed_by_db_sql_dial
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5.5 Core Concept . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 SQL Dialect . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 3.5.6 Limitations way in which Apache Shard‐ ingSphere provides services by database protocol, the way in which SQL dialect operates data, and the database type that interacts with storage nodes. 1.3 Deployment Apache of using one SQL dialect to access all heterogeneous databases is increasing. 3.5.2 Challenges The existence of diversified databases makes it difficult to standardize the SQL dialect accessing the database
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SQLAlchemy is designed to operate with a DBAPI implementation built for a particular database. It uses dialect system to communicate with various types of DBAPI implementations and databases. All dialects require proceed towards the steps involved in connecting to a database. Engine class connects a Pool and Dialect together to provide a source of database connectivity and behavior. An object of Engine class is has to send the URL as the first positional argument, usually a string that indicates database dialect and connection arguments. Using the code given below, we can create a database. >>> from sqlalchemy
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