This file is indexed.

/usr/lib/perl5/MongoDB/Indexing.pod is in libmongodb-perl 0.702.1+ds-1ubuntu1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
#
#  Copyright 2009-2013 10gen, Inc.
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#  http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#


# PODNAME: MongoDB::Indexing
# ABSTRACT: Indexing collections

__END__

=pod

=head1 NAME

MongoDB::Indexing - Indexing collections

=head1 VERSION

version 0.702.1

=head1 CREATING AN INDEX

Unique and non-unique indexes can be created on collections using 
C<MongoDB::Collection::ensure_index>.

For example, to create a non-unique index on C<x>:

    $collection->ensure_index({'x' => 1})

To create a unique index on C<y>:

    $collection->ensure_index({"y" => 1}, {"unique" => 1});

Multi-key indexes can be created to speed up queries like "sort by name, then by
age."  Index direction (1 or -1) is only important for multi-key indexes and
should be the sort order.  So, for example, if we want a fast sort by name 
ascending and age descending, we'd write:

    my $idx = Tie::IxHash->new(name => 1, age => -1);
    $collection->ensure_index($idx);

Keep in mind that you should use L<Tie::IxHash> for multi-key indexes to 
guarantee the keys will be saved in the correct order.

=head2 Options

The second parameter to C<MongoDB::Collection::ensure_index> specifies index
options.  Available options are:

=over

=item C<< unique =E<gt> boolean >>

By default, indexes are not unique. To create a unique index, pass 
C<< unique =E<gt> true >>.  C<true> can be L<boolean::true> or any other true value.

=item C<< drop_dups => boolean >>

If a unique index is being created on an existing set of data that has duplicate
values, creating the index will fail.  To force the index creation by deleting 
duplicate values, use this option.  Again, any value that evaluates to true will
work.

=item C<safe =E<gt> boolean>

If the update fails and safe is set, this function will return 0.  You should 
check C<MongoDB::Database::last_error> to find out why the update failed.

=item C<< background =E<gt> boolean >>

Create the index as a background operation.

=item C<< name =E<gt> string >>

Give the index a non-default name.  This can be useful if the index contains so
many keys that you get an "index name too long" assertion, or if you just prefer
a more human-readable name.

=back

=head2 See Also

MongoDB documentation on indexing: 
L<http://dochub.mongodb.org/core/indexes>.

=head1 GEOSPATIAL INDEXES

Starting in version 1.3.3 of MongoDB, you can create geospatial indexes.  These
are useful for querying for "N documents nearest this point" or "documents 
within this shape."

To create an index for geospatial queries, use "2d" instead of 1 or -1.  
For example, this would create an index on the "location" field:

    $coll->ensure_index({"location" => "2d"});

Then, you can query for documents using C<$near>:

    my $cursor = $coll->query({"location" => {'$near' => [44, -70]}})->limit(10);

This finds the 10 nearest documents (automatically sorted by distance ascending) 
to latitude -70, longitude 44.

Documents must have some sort of pair in the "location" field, although the 
database is pretty flexible as to what it will accept:

    # valid geospatial locations
    $coll->insert({"location" => [44, -70]}); 
    $coll->insert({"location" => {"x" => 44, "y" => -70}}); 
    $coll->insert({"location" => {"foo" => 44, "bar" => -70}}); 

You can save values in C<(x,y)> or C<(y,x)> order, but you must be consistent.

By default, the geospatial index assumes that points will lie between -180 and 
180, for longitude and latitude queries.

=head2 Options

=over

=item C<< min =E<gt> int >>

By default, the geospatial index assumes that points will lie between -180 and 
180, for longitude and latitude queries.  If you need an alternative minimum
value, you can use this option.  This value is exclusive: if you specify
C<< min =E<gt> 0 >>, you cannot save a point with a 0 value coordinate.

=item C<< max =E<gt> int >>

Alternative maximum value, exclusive.

=back

=head2 See Also

MongoDB documentation on geospatial indexes:
L<http://dochub.mongodb.org/core/geo>.

=head1 AUTHORS

=over 4

=item *

Florian Ragwitz <rafl@debian.org>

=item *

Kristina Chodorow <kristina@mongodb.org>

=item *

Mike Friedman <mike.friedman@10gen.com>

=back

=head1 COPYRIGHT AND LICENSE

This software is Copyright (c) 2013 by 10gen, Inc..

This is free software, licensed under:

  The Apache License, Version 2.0, January 2004

=cut