24th September 2020: PostgreSQL 13 Released!

Development Versions:
devel

This documentation is for an unsupported version of PostgreSQL.

You may want to view the same page for the current version, or one of the other supported versions listed above instead.

You may want to view the same page for the current version, or one of the other supported versions listed above instead.

PostgreSQL 9.1.24 Documentation | ||||
---|---|---|---|---|

Prev | Up | Appendix F. Additional Supplied Modules | Next |

This module implements a data type `seg`
for representing line segments, or floating point intervals.
`seg` can represent uncertainty in the
interval endpoints, making it especially useful for representing
laboratory measurements.

The geometry of measurements is usually more complex than that of a point in a numeric continuum. A measurement is usually a segment of that continuum with somewhat fuzzy limits. The measurements come out as intervals because of uncertainty and randomness, as well as because the value being measured may naturally be an interval indicating some condition, such as the temperature range of stability of a protein.

Using just common sense, it appears more convenient to store such data as intervals, rather than pairs of numbers. In practice, it even turns out more efficient in most applications.

Further along the line of common sense, the fuzziness of the limits suggests that the use of traditional numeric data types leads to a certain loss of information. Consider this: your instrument reads 6.50, and you input this reading into the database. What do you get when you fetch it? Watch:

test=> select 6.50 :: float8 as "pH"; pH --- 6.5 (1 row)

In the world of measurements, 6.50 is not the same as 6.5. It may sometimes be critically different. The experimenters usually write down (and publish) the digits they trust. 6.50 is actually a fuzzy interval contained within a bigger and even fuzzier interval, 6.5, with their center points being (probably) the only common feature they share. We definitely do not want such different data items to appear the same.

Conclusion? It is nice to have a special data type that can record the limits of an interval with arbitrarily variable precision. Variable in the sense that each data element records its own precision.

Check this out:

test=> select '6.25 .. 6.50'::seg as "pH"; pH ------------ 6.25 .. 6.50 (1 row)

The external representation of an interval is formed using
one or two floating-point numbers joined by the range operator
(`..` or `...`).
Alternatively, it can be specified as a center point plus or
minus a deviation. Optional certainty indicators (`<`, `>` or
`~`) can be stored as well. (Certainty
indicators are ignored by all the built-in operators, however.)
Table F-26 gives an
overview of allowed representations; Table F-27 shows some
examples.

In Table F-26,
`x`, `y`, and `delta` denote floating-point numbers.
`x` and `y`, but not `delta`, can be preceded by a certainty
indicator.

Table F-26. `seg` External
Representations

x |
Single value (zero-length interval) |

x .. y |
Interval from x to
y |

x (+-) delta |
Interval from x -
delta to x + delta |

x .. |
Open interval with lower bound x |

.. x |
Open interval with upper bound x |

Table F-27. Examples of Valid `seg` Input

5.0 |
Creates a zero-length segment (a point, if you will) |

~5.0 |
Creates a zero-length segment and records
~ in the data. ~ is ignored by seg operations, but is preserved as a
comment. |

<5.0 |
Creates a point at 5.0. < is ignored but is preserved as a
comment. |

>5.0 |
Creates a point at 5.0. > is ignored but is preserved as a
comment. |

5(+-)0.3 |
Creates an interval 4.7 ..
5.3. Note that the (+-)
notation isn't preserved. |

50 .. |
Everything that is greater than or equal to 50 |

.. 0 |
Everything that is less than or equal to 0 |

1.5e-2 .. 2E-2 |
Creates an interval 0.015 ..
0.02 |

1 ... 2 |
The same as 1...2, or
1 .. 2, or 1..2 (spaces around the range operator
are ignored) |

Because `...` is widely used in data
sources, it is allowed as an alternative spelling of `..`. Unfortunately, this creates a parsing
ambiguity: it is not clear whether the upper bound in
`0...23` is meant to be `23` or `0.23`. This is
resolved by requiring at least one digit before the decimal
point in all numbers in `seg` input.

As a sanity check, `seg` rejects
intervals with the lower bound greater than the upper, for
example `5 .. 2`.

`seg` values are stored internally as
pairs of 32-bit floating point numbers. This means that numbers
with more than 7 significant digits will be truncated.

Numbers with 7 or fewer significant digits retain their original precision. That is, if your query returns 0.00, you will be sure that the trailing zeroes are not the artifacts of formatting: they reflect the precision of the original data. The number of leading zeroes does not affect precision: the value 0.0067 is considered to have just 2 significant digits.

The `seg` module includes a GiST
index operator class for `seg` values. The
operators supported by the GiST operator class are shown in
Table F-28.

Table F-28. Seg GiST Operators

Operator | Description |
---|---|

[a, b] << [c,
d] |
[a, b] is entirely to the left of [c, d]. That is, [a, b] << [c, d] is true if b < c and false otherwise. |

[a, b] >> [c,
d] |
[a, b] is entirely to the right of [c, d]. That is, [a, b] >> [c, d] is true if a > d and false otherwise. |

[a, b] &< [c,
d] |
Overlaps or is left of — This might be better read as "does not extend to right of". It is true when b <= d. |

[a, b] &> [c,
d] |
Overlaps or is right of — This might be better read as "does not extend to left of". It is true when a >= c. |

[a, b] = [c, d] |
Same as — The segments [a, b] and [c, d] are identical, that is, a = c and b = d. |

[a, b] && [c,
d] |
The segments [a, b] and [c, d] overlap. |

[a, b] @> [c, d] |
The segment [a, b] contains the segment [c, d], that is, a <= c and b >= d. |

[a, b] <@ [c, d] |
The segment [a, b] is contained in [c, d], that is, a >= c and b <= d. |

(Before PostgreSQL 8.2, the containment operators `@>` and `<@` were
respectively called `@` and `~`. These names are still available, but are
deprecated and will eventually be retired. Notice that the old
names are reversed from the convention formerly followed by the
core geometric data types!)

The standard B-tree operators are also provided, for example

These operators do not make a lot of sense for any practical purpose but sorting. These operators first compare (a) to (c), and if these are equal, compare (b) to (d). That results in reasonably good sorting in most cases, which is useful if you want to use ORDER BY with this type.For examples of usage, see the regression test `sql/seg.sql`.

The mechanism that converts `(+-)` to
regular ranges isn't completely accurate in determining the
number of significant digits for the boundaries. For example,
it adds an extra digit to the lower boundary if the resulting
interval includes a power of ten:

postgres=> select '10(+-)1'::seg as seg; seg --------- 9.0 .. 11 -- should be: 9 .. 11

The performance of an R-tree index can largely depend on the
initial order of input values. It may be very helpful to sort
the input table on the `seg` column; see
the script `sort-segments.pl` for an
example.

Original author: Gene Selkov, Jr. `<selkovjr@mcs.anl.gov>`

,
Mathematics and Computer Science Division, Argonne National
Laboratory.

My thanks are primarily to Prof. Joe Hellerstein (http://db.cs.berkeley.edu/jmh/) for elucidating the gist of the GiST (http://gist.cs.berkeley.edu/). I am also grateful to all Postgres developers, present and past, for enabling myself to create my own world and live undisturbed in it. And I would like to acknowledge my gratitude to Argonne Lab and to the U.S. Department of Energy for the years of faithful support of my database research.