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package Postgredis; |
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use Mojo::Pg; |
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use v5.20; |
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use experimental 'signatures'; |
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use strict; |
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our $VERSION=0.02; |
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sub new { |
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my $s = shift; |
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my @a = @_; |
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my %args; |
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%args = ( namespace => $_[0] ) if @_==1; |
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bless \%args, $s; |
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} |
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sub namespace($s,$new=undef) { |
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$s->{namespace} = $new if @_==2; |
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$s->{namespace}; |
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} |
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sub _pg($s) { |
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state $db; |
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return $db if defined($db); |
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$db = Mojo::Pg->new; |
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$ENV{PG_CONNECT_STR} and do { $db = $db->from_string( $ENV{PG_CONNECT_STR} ) }; |
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$ENV{PG_CONNECT_DSN} and do { $db = $db->dsn($ENV{PG_CONNECT_DSN}) }; |
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$db; |
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} |
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sub pg($s) { $s->_pg->db; } |
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sub _create_tables($s) { |
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my $table = $s->namespace; |
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$s->_query(<
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create table $table ( |
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k varchar not null primary key, |
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v jsonb |
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) |
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DONE |
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$s->_query(<
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create table $table\_sorted ( |
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k varchar not null, |
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v jsonb not null, |
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score real not null, |
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primary key (k, v) |
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) |
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DONE |
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$s->_query(<
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create index on $table\_sorted (k,score) |
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DONE |
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} |
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sub _drop_tables($s) { |
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my $table = $s->namespace; |
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$s->_query("drop table if exists $table"); |
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$s->_query("drop table if exists $table\_sorted"); |
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} |
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sub _tables_exist($s) { |
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my $res = $s->_query(q[select 1 from information_schema.tables where table_name = ?], |
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$s->namespace); |
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return $res->rows > 0; |
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} |
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sub _query($s,$str, @more) { |
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my $namespace = $s->namespace; |
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$str =~ s/\bredis\b/$namespace/; |
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$str =~ s/\bredis_sorted\b/$namespace\_sorted/; |
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return $s->pg->query($str, @more); |
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} |
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sub maybe_init($s) { |
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$s->flushdb unless $s->_tables_exist; |
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$s; |
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} |
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sub flushdb($s) { |
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$s->_drop_tables if $s->_tables_exist; |
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$s->_create_tables; |
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return $s; |
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} |
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sub default_ttl { } |
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sub set($s,$key,$value) { |
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my $res; |
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$res = $s->_query("update redis set v = ?::jsonb where k = ?", { json => $value }, $key); |
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return 1 if $res->rows > 0; |
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$s->_query("insert into redis (k, v) values (?,?::jsonb)", $key, { json => $value } ); |
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return 1; |
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} |
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sub get($s,$k) { |
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return $s->_query("select v from redis where k=?",$k)->expand->array->[0]; |
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} |
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sub del($s,$k) { |
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$s->_query("delete from redis where k=?",$k); |
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} |
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sub keys($s,$pat) { |
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$pat =~ s/\*/%/g; |
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return $s->_query("select k from redis where k like ?",$pat)->arrays->flatten; |
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} |
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sub exists($s,$k) { |
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my $got = $s->_query("select * from redis where k=?",$k); |
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return $got->rows > 0; |
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} |
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sub hset($s,$key,$hkey,$value) { |
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my $res = $s->_query("select v from redis where k = ?", $key)->expand; |
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my $json = $res->rows ? $res->hash->{v} : {}; |
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$json->{$hkey} = $value; |
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$res = $s->_query("update redis set v = ?::jsonb where k = ?",{json=>$json},$key); |
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return 1 if $res->rows > 0; |
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$res = $s->_query("insert into redis (k, v) values (?,?::jsonb)",$key, {json=>$json}); |
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return 1; |
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} |
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sub hdel($s,$key,$hkey) { |
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hash->{v}; |
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exists($json->{$hkey}) or return 0; |
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delete $json->{$hkey} or return 0; |
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$s->_query("update redis set v = ?::jsonb where k = ?",{json=>$json},$key); |
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} |
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sub hget($s,$key,$hkey) { |
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hash->{v}; |
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return $json->{$hkey}; |
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} |
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135
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sub hgetall($s,$key) { |
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my $res = $s->_query("select v from redis where k = ?", $key)->expand; |
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return {} unless $res->rows; |
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return $res->hash->{v}; |
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} |
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141
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sub sadd($s,$key,$value) { |
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$s->hset($key,$value,1); |
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} |
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145
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sub srem($s,$key,$value) { |
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hashes; |
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$json &&= $json->[0]{v}; |
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delete $json->{$value}; |
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$s->_query("update redis set v = ?::jsonb where k = ?",{json=>$json},$key); |
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return 1; |
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} |
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153
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sub smembers($s,$k) { |
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my $j = $s->hgetall($k); |
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return [ CORE::keys(%$j) ] |
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} |
157
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158
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sub incr($s,$k) { |
159
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my $exists = $s->_query("select 1 from pg_class where relname = ?", $k); |
160
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$k =~ /^[a-z0-9:_]+$/ or die "bad sequence name $k"; |
161
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unless ($exists->rows) { |
162
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$s->_query("create sequence $k start 1"); |
163
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} |
164
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my $next = $s->_query("select nextval(?)",$k)->arrays->flatten; |
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return $next->[0]; |
166
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} |
167
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168
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sub zadd($s,$key,$score,$val) { |
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$s->_query("insert into redis_sorted (k,score,v) values (?,?,?::jsonb)", |
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$key, $score,{ json => $val }); |
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} |
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173
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sub zscore($s,$key,$val) { |
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return $s->_query("select score from redis_sorted where k = ? and v = ?::jsonb", |
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$key, { json => $val })->array->[0]; |
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} |
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178
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sub zrem($s,$key,$val) { |
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$s->_query("delete from redis_sorted where k = ? and v = ?::jsonb", $key, { json => $val } ); |
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} |
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182
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sub zrangebyscore($s,$key,$min,$max) { |
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return $s->_query("select v from redis_sorted where k = ? and score >= ? |
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and score <= ? order by score, v::text", $key, $min, $max) |
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->expand->arrays->flatten; |
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} |
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188
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1; |
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190
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=head1 NAME |
191
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192
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Postgredis -- PostgreSQL and Redis mashup! |
193
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194
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=head1 SYNOPSIS |
195
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196
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my $db = Postgredis->new('test'); |
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$db->set(favorite_color => "blue"); |
198
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$db->hset("joe", name => "Joe", age => 50 ); |
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200
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=head1 DESCRIPTION |
201
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202
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Postgredis is an experimental implementation of a subset of the |
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Redis primitives using Postgres as a backend. |
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205
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The interface provides methods corresponding to Redis commands |
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which are translated into SQL queries on two tables. The |
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two tables are a key-value table and a key-sortkey-value |
208
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table. The values use the native JSON datatype in Postgres. |
209
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For this, postgres 9.4 or higher is required. |
210
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211
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=head1 METHODS |
212
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213
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Most of the methods are self explanatory -- see L for |
214
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further descriptions. |
215
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216
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=head2 Database operations |
217
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218
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maybe_init($s) |
219
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flushdb($s) |
220
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221
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=head2 Key operations |
222
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223
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set($s,$key,$value) |
224
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get($s,$k) |
225
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del($s,$k) |
226
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keys($s,$pat) |
227
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exists($s,$k) |
228
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229
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=head2 Hash operations |
230
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231
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hset($s,$key,$hkey,$value) |
232
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hdel($s,$key,$hkey) |
233
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hget($s,$key,$hkey) |
234
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hgetall($s,$key) |
235
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236
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=head2 Set operations |
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238
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sadd($s,$key,$value) |
239
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srem($s,$key,$value) |
240
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smembers($s,$k) |
241
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242
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=head2 Sorted set operations |
243
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244
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zadd($s,$key,$val,$score) |
245
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zscore($s,$key,$val) |
246
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zrem($s,$key,$val) |
247
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zrangebyscore($s,$key,$min,$max) |
248
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249
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=head2 String operations |
250
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251
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incr($s,$k) |
252
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253
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=head1 MOTIVATION |
254
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255
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The Redis primitives provide flexible representations of loosely structured data, |
256
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but indexing and querying the data can be a challenge. PostgreSQL provides |
257
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robust persistent data storage with flexible options for indexing and querying, |
258
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but relational schema design may be costly and insufficiently flexible. |
259
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Postgres as a backend is a compromise between the two. |
260
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261
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=head1 SEE ALSO |
262
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263
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L, L |
264
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265
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=head1 AUTHOR |
266
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267
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Brian Duggan C |
268
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269
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=cut |