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package Postgredis; |
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21590
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use Mojo::Pg; |
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4
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use v5.20; |
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use experimental 'signatures'; |
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use strict; |
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8
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our $VERSION=0.03; |
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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) { $s->_pg->db; } |
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34
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sub _create_tables($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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51
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create index on $table\_sorted (k,score) |
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DONE |
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} |
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54
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55
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sub _drop_tables($s) { |
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56
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my $table = $s->namespace; |
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57
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$s->_query("drop table if exists $table"); |
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58
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$s->_query("drop table if exists $table\_sorted"); |
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} |
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61
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sub _tables_exist($s) { |
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my $res = $s->_query(q[select 1 from information_schema.tables where table_name = ?], |
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63
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$s->namespace); |
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return $res->rows > 0; |
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} |
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67
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sub _query($s,$str, @more) { |
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my $namespace = $s->namespace; |
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$str =~ s/\bredis\b/$namespace/; |
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70
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$str =~ s/\bredis_sorted\b/$namespace\_sorted/; |
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71
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return $s->pg->query($str, @more); |
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72
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} |
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73
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74
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sub maybe_init($s) { |
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75
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$s->flushdb unless $s->_tables_exist; |
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76
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$s; |
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77
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} |
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78
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79
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sub flushdb($s) { |
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80
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$s->_drop_tables if $s->_tables_exist; |
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81
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$s->_create_tables; |
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82
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return $s; |
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83
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} |
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84
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85
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sub default_ttl { } |
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86
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87
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sub set($s,$key,$value) { |
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88
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my $res; |
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89
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$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 => $value } ); |
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return 1; |
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} |
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95
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sub get($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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99
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sub del($s,$k) { |
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100
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$s->_query("delete from redis where k=?",$k); |
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101
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} |
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102
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103
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sub keys($s,$pat) { |
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104
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$pat =~ s/\*/%/g; |
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105
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return $s->_query("select k from redis where k like ?",$pat)->arrays->flatten; |
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106
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} |
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107
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108
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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 $got->rows > 0; |
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} |
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112
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113
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sub hset($s,$key,$hkey,$value) { |
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114
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my $res = $s->_query("select v from redis where k = ?", $key)->expand; |
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115
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my $json = $res->rows ? $res->hash->{v} : {}; |
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116
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$json->{$hkey} = $value; |
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117
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$res = $s->_query("update redis set v = ?::jsonb where k = ?",{json=>$json},$key); |
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118
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return 1 if $res->rows > 0; |
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119
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$res = $s->_query("insert into redis (k, v) values (?,?::jsonb)",$key, {json=>$json}); |
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120
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return 1; |
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121
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} |
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122
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123
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sub hdel($s,$key,$hkey) { |
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hash->{v}; |
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125
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exists($json->{$hkey}) or return 0; |
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126
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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},$key); |
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} |
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129
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130
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sub hget($s,$key,$hkey) { |
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131
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hash->{v}; |
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132
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return $json->{$hkey}; |
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133
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} |
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134
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135
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sub hgetall($s,$key) { |
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136
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my $res = $s->_query("select v from redis where k = ?", $key)->expand; |
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137
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return {} unless $res->rows; |
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138
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return $res->hash->{v}; |
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139
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} |
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140
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141
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sub sadd($s,$key,$value) { |
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142
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$s->hset($key,$value,1); |
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143
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} |
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144
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145
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sub srem($s,$key,$value) { |
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146
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my $json = $s->_query("select v from redis where k = ?", $key)->expand->hashes; |
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147
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$json &&= $json->[0]{v}; |
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148
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delete $json->{$value}; |
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149
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$s->_query("update redis set v = ?::jsonb where k = ?",{json=>$json},$key); |
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150
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return 1; |
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151
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} |
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152
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153
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sub smembers($s,$k) { |
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154
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my $j = $s->hgetall($k); |
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155
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return [ CORE::keys(%$j) ] |
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156
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} |
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157
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158
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sub incr($s,$k) { |
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159
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my $exists = $s->_query("select 1 from pg_class where relname = ?", $k); |
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160
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$k =~ /^[a-z0-9:_]+$/ or die "bad sequence name $k"; |
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161
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unless ($exists->rows) { |
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162
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$s->_query("create sequence $k start 1"); |
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163
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} |
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164
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my $next = $s->_query("select nextval(?)",$k)->arrays->flatten; |
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165
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return $next->[0]; |
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166
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} |
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167
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168
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sub zadd($s,$key,$score,$val) { |
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169
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$s->_query("insert into redis_sorted (k,score,v) values (?,?,?::jsonb)", |
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170
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$key, $score,{ json => $val }); |
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171
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} |
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172
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173
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sub zscore($s,$key,$val) { |
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174
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return $s->_query("select score from redis_sorted where k = ? and v = ?::jsonb", |
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175
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$key, { json => $val })->array->[0]; |
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176
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} |
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177
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178
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sub zrem($s,$key,$val) { |
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179
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$s->_query("delete from redis_sorted where k = ? and v = ?::jsonb", $key, { json => $val } ); |
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180
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} |
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181
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182
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sub zrangebyscore($s,$key,$min,$max) { |
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183
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return $s->_query("select v from redis_sorted where k = ? and score >= ? |
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184
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and score <= ? order by score, v::text", $key, $min, $max) |
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185
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->expand->arrays->flatten; |
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186
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} |
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187
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188
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1; |
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189
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190
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=head1 NAME |
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191
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192
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Postgredis -- PostgreSQL and Redis mashup |
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193
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194
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=head1 SYNOPSIS |
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195
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196
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my $db = Postgredis->new('test'); |
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197
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$db->set(favorite_color => "blue"); |
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198
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$db->hset("joe", name => "Joe", age => 50 ); |
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199
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200
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=head1 DESCRIPTION |
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201
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202
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Postgredis is an experimental implementation of a subset of the |
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203
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Redis primitives using Postgres as a backend. |
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204
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205
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The interface provides methods corresponding to Redis commands |
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206
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which are translated into SQL queries on two tables. The |
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207
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two tables are a key-value table and a key-sortkey-value |
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208
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table. The values use the native JSON datatype in Postgres. |
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209
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For this, postgres 9.4 or higher is required. |
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210
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211
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=head1 METHODS |
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212
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213
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Most of the methods are self explanatory -- see L for |
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further descriptions. |
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216
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=head2 Database operations |
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217
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218
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maybe_init($s) |
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flushdb($s) |
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221
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=head2 Key operations |
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223
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set($s,$key,$value) |
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get($s,$k) |
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del($s,$k) |
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keys($s,$pat) |
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exists($s,$k) |
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229
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=head2 Hash operations |
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230
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231
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hset($s,$key,$hkey,$value) |
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hdel($s,$key,$hkey) |
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hget($s,$key,$hkey) |
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hgetall($s,$key) |
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236
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=head2 Set operations |
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237
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238
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sadd($s,$key,$value) |
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srem($s,$key,$value) |
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240
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smembers($s,$k) |
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241
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242
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=head2 Sorted set operations |
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243
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244
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zadd($s,$key,$val,$score) |
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zscore($s,$key,$val) |
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zrem($s,$key,$val) |
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zrangebyscore($s,$key,$min,$max) |
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248
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249
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=head2 String operations |
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251
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incr($s,$k) |
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253
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=head1 MOTIVATION |
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254
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255
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The Redis primitives provide flexible representations of loosely structured data, |
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256
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but indexing and querying the data can be a challenge. PostgreSQL provides |
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257
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robust persistent data storage with flexible options for indexing and querying, |
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258
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but relational schema design may be costly and insufficiently flexible. |
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259
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Postgres as a backend is a compromise between the two. |
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260
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261
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=head1 SEE ALSO |
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262
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263
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L, L |
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264
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265
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=head1 AUTHOR |
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266
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267
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Brian Duggan C |
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268
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269
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=cut |