![]() ![]() Of EXTERNAL will make substring operations EXTERNAL is for external, uncompressed data, andĮXTENDED is for external, compressed data. Must be used for fixed-length values such as integer and is inline, uncompressed. Whether this column is held inline or in a secondary This form sets the storage mode for a column. For more information on the use of statistics by the Value of 0 to revert to estimating the number of distinct values In the table is not performed until query planning time. This can be useful when the size of the tableĬhanges over time, since the multiplication by the number of rows ForĮxample, a value of -1 implies that all values in the column areĭistinct, while a value of -0.5 implies that each value appears Table the exact count is to be computed by multiplying theĮstimated table size by the absolute value of the given number. Negative value, which must be greater than or equal to -1,ĭistinct nonnull values in the column is linear in the size of the The specified number of distinct nonnull values. When set to a positive value, ANALYZE will assume that the column contains exactly The statistics gathered for the table plus its inheritanceĬhildren. Itself, while n_distinct_inherited affects n_distinct affects the statistics for the table Number-of-distinct-values estimates made by subsequent ANALYZE operations. ![]() Only defined per-attribute options are n_distinct and n_distinct_inherited, which override the This form sets or resets per-attribute options. 1 to revert to using the system default statistics targetįor more information on the use of statistics by the PostgreSQL query planner, refer to Section 14.2. Target can be set in the range 0 to 10000 alternatively, set it to This form sets the per-column statistics-gathering target for You can only use SET NOT NULL when the column contains no null These forms change whether a column is marked to allow null Statements on the view before the view's ON Defaults can also be created for views, in Theĭefault values only apply to subsequent INSERT commands they do not cause rows already in These forms set or remove the default value for a column. No implicit or assignment cast from old to new type. USING clause must be provided if there is Is the same as an assignment cast from old data type to new. New column value from the old if omitted, the default conversion USING clause specifies how to compute the The optional COLLATEĬlause specifies a collation for the new column if omitted, theĬollation is the default for the new column type. Simple table constraints involving the column will be automaticallyĬonverted to use the new column type by reparsing the originally This form changes the type of a column of a table. IF EXISTSĭo not throw an error if the table does not exist. Indexes and tableĬonstraints involving the column will be automatically dropped asĪnything outside the table depends on the column, for example,ĮXISTS is specified and the column does not exist, no error is This form adds a new column to the table, using the same syntaxĪs CREATE TABLE. SET SCHEMA new_schema where action is one of:ĪDD column_name data_type ]ĭROP column_name ĪLTER column_name TYPE data_type ĪLTER column_name SET DEFAULT expressionĪLTER column_name DROP DEFAULTĪLTER column_name USING INDEX index_name RENAME CONSTRAINT constraint_name TO new_constraint_name this runs no problem but is inefficient.ALTER TABLE name test what happens if adding constrint to primary key columnĬREATE UNIQUE INDEX CONCURRENTLY u_test_pkey ON unique_test (pkey) SQL Error : ERROR: relation "unique_target_1" already exists Detail: Key (unique_no)=(a) is duplicated. SQL Error : ERROR: could not create unique index "u_test_2" check what happens when column is not uniqueĬREATE UNIQUE INDEX CONCURRENTLY u_test_2 ON unique_test (unique_no) INSERT INTO unique_test (pkey, unique_yes, unique_no)ĬREATE UNIQUE INDEX CONCURRENTLY u_test_1 ON unique_test (unique_yes) If the column is the primary key, the unique constraint can be added without error but in this case it would be preferable to just recognize that the column must be unique based on the primary key.Ĭode examples of this below. in this case would prefer to just check for the existing constraint. If there is already a constraint of the same name a useful error is returned. If the column is not unique adding the constraint will return an error. If the column is unique I can add a constraint. ![]() I'm running the queries using psycopg2 so adding that tag on the off chance there's something in there that can help with this. I'm aware of the UNIQUE constraint, but I'm wondering if there is a better way to do the check. I need to ensure that the values in a column from a table are unique as part of a larger process. ![]()
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