<!-- $PostgreSQL: pgsql/doc/src/sgml/seg.sgml,v 1.8 2010/08/10 20:42:01 petere Exp $ -->

<sect1 id="seg">
 <title>seg</title>

 <indexterm zone="seg">
  <primary>seg</primary>
 </indexterm>

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

 <sect2>
  <title>Rationale</title>

  <para>
   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.
  </para>

  <para>
   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.
  </para>

  <para>
   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:

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

   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.
  </para>

  <para>
   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.
  </para>

  <para>
   Check this out:

<screen>
test=> select '6.25 .. 6.50'::seg as "pH";
          pH
------------
6.25 .. 6.50
(1 row)
</screen>
  </para>
 </sect2>

 <sect2>
  <title>Syntax</title>

  <para>
   The external representation of an interval is formed using one or two
   floating point numbers joined by the range operator (<literal>..</literal>
   or <literal>...</literal>).  Alternatively, it can be specified as a
   center point plus or minus a deviation.
   Optional certainty indicators (<literal>&lt;</literal>,
   <literal>&gt;</literal> and <literal>~</literal>) can be stored as well.
   (Certainty indicators are ignored by all the built-in operators, however.)
   <xref linkend="seg-repr-table"> gives on overview over the allowed
   representations; <xref linkend="seg-input-examples"> shows some
   examples.
  </para>

  <para>
   In <xref linkend="seg-repr-table">, <replaceable>x</>, <replaceable>y</>, and
   <replaceable>delta</> denote
   floating-point numbers.  <replaceable>x</> and <replaceable>y</>, but
   not <replaceable>delta</>, can be preceded by a certainty indicator.
  </para>

  <table id="seg-repr-table">
   <title><type>seg</> external representations</title>
   <tgroup cols="2">
    <tbody>
     <row>
      <entry><literal><replaceable>x</></literal></entry>
      <entry>Single value (zero-length interval)
      </entry>
     </row>
     <row>
      <entry><literal><replaceable>x</> .. <replaceable>y</></literal></entry>
      <entry>Interval from <replaceable>x</> to <replaceable>y</>
      </entry>
     </row>
     <row>
      <entry><literal><replaceable>x</> (+-) <replaceable>delta</></literal></entry>
      <entry>Interval from <replaceable>x</> - <replaceable>delta</> to
      <replaceable>x</> + <replaceable>delta</>
      </entry>
     </row>
     <row>
      <entry><literal><replaceable>x</> ..</literal></entry>
      <entry>Open interval with lower bound <replaceable>x</>
      </entry>
     </row>
     <row>
      <entry><literal>.. <replaceable>x</></literal></entry>
      <entry>Open interval with upper bound <replaceable>x</>
      </entry>
     </row>
    </tbody>
   </tgroup>
  </table>

  <table id="seg-input-examples">
   <title>Examples of valid <type>seg</> input</title>
   <tgroup cols="2">
    <tbody>
     <row>
      <entry><literal>5.0</literal></entry>
      <entry>
       Creates a zero-length segment (a point, if you will)
      </entry>
     </row>
     <row>
      <entry><literal>~5.0</literal></entry>
      <entry>
       Creates a zero-length segment and records
       <literal>~</> in the data.  <literal>~</literal> is ignored
       by <type>seg</> operations, but
       is preserved as a comment.
      </entry>
     </row>
     <row>
      <entry><literal>&lt;5.0</literal></entry>
      <entry>
       Creates a point at 5.0.  <literal>&lt;</literal> is ignored but
       is preserved as a comment.
      </entry>
     </row>
     <row>
      <entry><literal>&gt;5.0</literal></entry>
      <entry>
       Creates a point at 5.0.  <literal>&gt;</literal> is ignored but
       is preserved as a comment.
      </entry>
     </row>
     <row>
      <entry><literal>5(+-)0.3</literal></entry>
      <entry>
        Creates an interval <literal>4.7 .. 5.3</literal>.
        Note that the <literal>(+-)</> notation isn't preserved.
      </entry>
     </row>
     <row>
      <entry><literal>50 .. </literal></entry>
      <entry>Everything that is greater than or equal to 50</entry>
     </row>
     <row>
      <entry><literal>.. 0</literal></entry>
      <entry>Everything that is less than or equal to 0</entry>
     </row>
     <row>
      <entry><literal>1.5e-2 .. 2E-2 </literal></entry>
      <entry>Creates an interval <literal>0.015 .. 0.02</literal></entry>
     </row>
     <row>
      <entry><literal>1 ... 2</literal></entry>
      <entry>
       The same as <literal>1...2</literal>, or <literal>1 .. 2</literal>,
       or <literal>1..2</literal>
       (spaces around the range operator are ignored)
      </entry>
     </row>
    </tbody>
   </tgroup>
  </table>

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

  <para>
   As a sanity check, <type>seg</> rejects intervals with the lower bound
   greater than the upper, for example <literal>5 .. 2</>.
  </para>

 </sect2>

 <sect2>
  <title>Precision</title>

  <para>
   <type>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.
  </para>

  <para>
   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.
  </para>
 </sect2>

 <sect2>
  <title>Usage</title>

  <para>
   The <filename>seg</> module includes a GiST index operator class for
   <type>seg</> values.
   The operators supported by the GiST opclass are shown in <xref linkend="seg-gist-operators">.
  </para>

  <table id="seg-gist-operators">
   <title>Seg GiST operators</title>
   <tgroup cols="2">
    <thead>
     <row>
      <entry>Operator</entry>
      <entry>Description</entry>
     </row>
    </thead>

    <tbody>
     <row>
      <entry><literal>[a, b] &lt;&lt; [c, d]</literal></entry>
      <entry>[a, b] is entirely to the left of [c, d].  That is, [a,
       b] &lt;&lt; [c, d] is true if b &lt; c and false otherwise.</entry>
     </row>

     <row>
      <entry><literal>[a, b] &gt;&gt; [c, d]</literal></entry>
      <entry>[a, b] is entirely to the right of [c, d].  That is, [a,
       b] &gt;&gt; [c, d] is true if a &gt; d and false otherwise.</entry>
     </row>

     <row>
      <entry><literal>[a, b] &amp;&lt; [c, d]</literal></entry>
      <entry>Overlaps or is left of &mdash; This might be better read
       as <quote>does not extend to right of</quote>.  It is true when
       b &lt;= d.</entry>
     </row>

     <row>
      <entry><literal>[a, b] &amp;&gt; [c, d]</literal></entry>
      <entry>Overlaps or is right of &mdash; This might be better read
       as <quote>does not extend to left of</quote>.  It is true when
       a &gt;= c.</entry>
     </row>

     <row>
      <entry><literal>[a, b] = [c, d]</literal></entry>
      <entry>Same as &mdash; The segments [a, b] and [c, d] are
       identical, that is, a = c and b = d.</entry>
     </row>

     <row>
      <entry><literal>[a, b] &amp;&amp; [c, d]</literal></entry>
      <entry>The segments [a, b] and [c, d] overlap.</entry>
     </row>

     <row>
      <entry><literal>[a, b] @&gt; [c, d]</literal></entry>
      <entry>The segment [a, b] contains the segment [c, d], that is,
       a &lt;= c and b &gt;= d.</entry>
     </row>

     <row>
      <entry><literal>[a, b] &lt;@ [c, d]</literal></entry>
      <entry>The segment [a, b] is contained in [c, d], that is, a
       &gt;= c and b &lt;= d.</entry>
     </row>
    </tbody>
   </tgroup>
  </table>

  <para>
   (Before PostgreSQL 8.2, the containment operators <literal>@&gt;</> and <literal>&lt;@</> were
   respectively called <literal>@</> and <literal>~</>.  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
   datatypes!)
  </para>

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

  <informaltable>
    <tgroup cols="2">
     <thead>
      <row>
       <entry>Operator</entry>
       <entry>Description</entry>
      </row>
     </thead>

     <tbody>
      <row>
       <entry><literal>[a, b] &lt; [c, d]</literal></entry>
       <entry>Less than</entry>
      </row>

      <row>
       <entry><literal>[a, b] &gt; [c, d]</literal></entry>
       <entry>Greater than</entry>
      </row>
     </tbody>
    </tgroup>
   </informaltable>

   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.
  </para>
 </sect2>

 <sect2>
  <title>Notes</title>

  <para>
   For examples of usage, see the regression test <filename>sql/seg.sql</>.
  </para>

  <para>
   The mechanism that converts <literal>(+-)</> 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:

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

  <para>
   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 <type>seg</> column; see the script <filename>sort-segments.pl</>
   for an example.
  </para>
 </sect2>

 <sect2>
  <title>Credits</title>

  <para>
   Original author: Gene Selkov, Jr. <email>selkovjr@mcs.anl.gov</email>,
   Mathematics and Computer Science Division, Argonne National Laboratory.
  </para>

  <para>
   My thanks are primarily to Prof. Joe Hellerstein
   (<ulink url="http://db.cs.berkeley.edu/jmh/"></ulink>) for elucidating the
   gist of the GiST (<ulink url="http://gist.cs.berkeley.edu/"></ulink>). 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.
  </para>

 </sect2>

</sect1>
