If you now return to the portal.redgate.com and refresh, you'll see that all license entitlements on the serial key are allocated to "Device: (xxxx-xxxx-xxxx-xxxx)". For a server-licensed tool like SQL Monitor, this is the correct behavior.
Note that if you run multiple base monitors, you will encounter the "Failed to Activate License...All Entitlements Claimed" error if you try to allocate an existing license to servers on new Base Monitor. You will either need to contact support to split a license, or upgrade to the latest SQL Monitor version and dynamically reallocate the serial-activated license to a redgate.com-activated license.
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If the TIMELIMIT is reached before the ROWCOUNT, the table will contain the number of rowsgenerated within the time frame. The exact row count depends on the system speed and is not entirely deterministic.
These examples generate sequences that can have gaps. For examples that generate sequences without gaps, see theSnowflake Community article describing how to generategap-free sequencesof numbers and dates .
The types smallint, integer, and bigint store wholenumbers, that is, numbers without fractional components, of variousranges. Attempts to store values outside of the allowed range willresult in an error.
The type numeric can store numbers with avery large number of digits and perform calculations exactly. It isespecially recommended for storing monetary amounts and otherquantities where exactness is required. However, arithmetic onnumeric values is very slow compared to theinteger types, or to the floating-point types described in the nextsection.
We use the following terms below: the precision of a numeric is thetotal count of significant digits in the whole number, that is, thenumber of digits to both sides of the decimal point. The scale of a numeric is thecount of decimal digits in the fractional part, to the right of thedecimal point. So the number 23.5141 has a precision of 6 and ascale of 4. Integers can be considered to have a scale of zero.
If the scale of a value to be stored is greater than thedeclared scale of the column, the system will round the value tothe specified number of fractional digits. Then, if the number ofdigits to the left of the decimal point exceeds the declaredprecision minus the declared scale, an error is raised.
In addition to ordinary numeric values, the numeric type allows the special value NaN, meaning "not-a-number". Any operation on NaN yields another NaN.When writing this value as a constant in an SQL command, you mustput quotes around it, for example UPDATE tableSET x = 'NaN'. On input, the string NaN is recognized in a case-insensitive manner.
Note: In most implementations of the "not-a-number" concept, NaNis not considered equal to any other numeric value (includingNaN). In order to allow numeric values to be sorted and used in tree-basedindexes, PostgreSQL treatsNaN values as equal, and greater than allnon-NaN values.
On most platforms, the real type has arange of at least 1E-37 to 1E+37 with a precision of at least 6decimal digits. The double precision typetypically has a range of around 1E-307 to 1E+308 with a precisionof at least 15 digits. Values that are too large or too small willcause an error. Rounding might take place if the precision of aninput number is too high. Numbers too close to zero that are notrepresentable as distinct from zero will cause an underflowerror.
Note: The extra_float_digitssetting controls the number of extra significant digits includedwhen a floating point value is converted to text for output. Withthe default value of 0, the output is thesame on every platform supported by PostgreSQL. Increasing it willproduce output that more accurately represents the stored value,but may be unportable.
The data types smallserial, serial and bigserial are not truetypes, but merely a notational convenience for creating uniqueidentifier columns (similar to the AUTO_INCREMENT property supported by some otherdatabases). In the current implementation, specifying:
Note: Because smallserial,serial and bigserialare implemented using sequences, there may be "holes" or gaps inthe sequence of values which appears in the column, even if no rowsare ever deleted. A value allocated from the sequence is still"used up" even if a row containing that value is never successfullyinserted into the table column. This may happen, for example, ifthe inserting transaction rolls back. See nextval() in Section 9.16 for details.
Note: Prior to PostgreSQL 7.3, serialimplied UNIQUE. This is no longerautomatic. If you wish a serial column to have a unique constraintor be a primary key, it must now be specified, just like any otherdata type.
To insert the next value of the sequence into the serial column, specify that the serial column should be assigned its default value.This can be done either by excluding the column from the list ofcolumns in the INSERT statement, orthrough the use of the DEFAULT keyword.
The type names serial and serial4 are equivalent: both create integer columns. The type names bigserial and serial8 work thesame way, except that they create a bigintcolumn. bigserial should be used if youanticipate the use of more than 231 identifiers over thelifetime of the table. The type names smallserial and serial2 also workthe same way, except that they create a smallint column.
The sequence created for a serial columnis automatically dropped when the owning column is dropped. You candrop the sequence without dropping the column, but this will forceremoval of the column default expression. 2ff7e9595c
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