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Overview
| Comment: | Fix another harmless comment typo. |
|---|---|
| Downloads: | Tarball | ZIP archive | SQL archive |
| Timelines: | family | ancestors | descendants | both | trunk |
| Files: | files | file ages | folders |
| SHA1: | b45bc80bb16f07192d84fd14433bb724a84d4146 |
| User & Date: | drh 2014-11-07 14:37:32 |
Context
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2014-11-07
| ||
| 14:41 | Add new test file e_blobopen.test, containing tests for sqlite3_blob_open(). check-in: ecbccd0e user: dan tags: trunk | |
| 14:37 | Fix another harmless comment typo. check-in: b45bc80b user: drh tags: trunk | |
| 13:52 | In the ".scanstats on" output from the shell, round the estRows value to the nearest integer, rather than rounding toward zero. check-in: 57005085 user: drh tags: trunk | |
Changes
Changes to src/sqliteInt.h.
558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 |
/*
** Estimated quantities used for query planning are stored as 16-bit
** logarithms. For quantity X, the value stored is 10*log2(X). This
** gives a possible range of values of approximately 1.0e986 to 1e-986.
** But the allowed values are "grainy". Not every value is representable.
** For example, quantities 16 and 17 are both represented by a LogEst
** of 40. However, since LogEst quantaties are suppose to be estimates,
** not exact values, this imprecision is not a problem.
**
** "LogEst" is short for "Logarithmic Estimate".
**
** Examples:
** 1 -> 0 20 -> 43 10000 -> 132
** 2 -> 10 25 -> 46 25000 -> 146
|
| |
558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 |
/*
** Estimated quantities used for query planning are stored as 16-bit
** logarithms. For quantity X, the value stored is 10*log2(X). This
** gives a possible range of values of approximately 1.0e986 to 1e-986.
** But the allowed values are "grainy". Not every value is representable.
** For example, quantities 16 and 17 are both represented by a LogEst
** of 40. However, since LogEst quantities are suppose to be estimates,
** not exact values, this imprecision is not a problem.
**
** "LogEst" is short for "Logarithmic Estimate".
**
** Examples:
** 1 -> 0 20 -> 43 10000 -> 132
** 2 -> 10 25 -> 46 25000 -> 146
|