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1 | =head1 NAME |
2 | |
3 | DBIx::Class::Manual::FAQ - Frequently Asked Questions (in theory) |
4 | |
5 | =head1 DESCRIPTION |
6 | |
7 | This document is intended as an anti-map of the documentation. If you |
8 | know what you want to do, but not how to do it in L<DBIx::Class>, then |
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9 | look here. It does B<not> contain much code or examples, it just gives |
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10 | explanations and pointers to the correct pieces of documentation to |
11 | read. |
12 | |
13 | =head1 FAQs |
14 | |
15 | How Do I: |
16 | |
17 | =head2 Getting started |
18 | |
19 | =over 4 |
20 | |
21 | =item .. create a database to use? |
22 | |
23 | First, choose a database. For testing/experimenting, we reccommend |
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24 | L<DBD::SQLite>, which is a self-contained small database (i.e. all you |
25 | need to do is to install L<DBD::SQLite> from CPAN, and it's usable). |
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26 | |
27 | Next, spend some time defining which data you need to store, and how |
28 | it relates to the other data you have. For some help on normalisation, |
29 | go to L<http://b62.tripod.com/doc/dbbase.htm> or |
30 | L<http://209.197.234.36/db/simple.html>. |
31 | |
32 | Now, decide whether you want to have the database itself be the |
33 | definitive source of information about the data layout, or your |
34 | DBIx::Class schema. If it's the former, look up the documentation for |
35 | your database, eg. L<http://sqlite.org/lang_createtable.html>, on how |
36 | to create tables, and start creating them. For a nice universal |
37 | interface to your database, you can try L<DBI::Shell>. If you decided |
38 | on the latter choice, read the FAQ on setting up your classes |
39 | manually, and the one on creating tables from your schema. |
40 | |
41 | =item .. use DBIx::Class with L<Catalyst>? |
42 | |
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43 | Install L<Catalyst::Model::DBIC::Schema> from CPAN. See its |
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44 | documentation, or below, for further details. |
45 | |
46 | =item .. set up my DBIx::Class classes automatically from my database? |
47 | |
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48 | Install L<DBIx::Class::Schema::Loader> from CPAN, and read its documentation. |
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49 | |
50 | =item .. set up my DBIx::Class classes manually? |
51 | |
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52 | Look at the L<DBIx::Class::Manual::Example> and come back here if you get lost. |
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53 | |
54 | =item .. create my database tables from my DBIx::Class schema? |
55 | |
56 | Create your classes manually, as above. Write a script that calls |
57 | L<DBIx::Class::Schema/deploy>. See there for details, or the |
58 | L<DBIx::Class::Manual::Cookbook>. |
59 | |
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60 | =item .. connect to my database? |
61 | |
62 | Once you have created all the appropriate table/source classes, and an |
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63 | overall L<Schema|DBIx::Class::Schema> class, you can start using |
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64 | them in an application. To do this, you need to create a central |
65 | Schema object, which is used to access all the data in the various |
66 | tables. See L<DBIx::Class::Schema/connect> for details. The actual |
67 | connection does not happen until you actually request data, so don't |
68 | be alarmed if the error from incorrect connection details happens a |
69 | lot later. |
70 | |
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71 | =item .. use DBIx::Class across multiple databases? |
72 | |
73 | If your database server allows you to run querys across multiple |
74 | databases at once, then so can DBIx::Class. All you need to do is make |
75 | sure you write the database name as part of the |
76 | L<DBIx::Class::ResultSource/table> call. Eg: |
77 | |
78 | __PACKAGE__->table('mydb.mytablename'); |
79 | |
80 | And load all the Result classes for both / all databases using one |
81 | L<DBIx::Class::Schema/load_namespaces> call. |
82 | |
83 | =item .. use DBIx::Class across PostgreSQL/DB2/Oracle schemas? |
84 | |
85 | Add the name of the schema to the L<DBIx::Class::ResultSource/table> |
86 | as part of the name, and make sure you give the one user you are going |
87 | to connect with rights to read/write all the schemas/tables as |
88 | necessary. |
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89 | |
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90 | =back |
91 | |
92 | =head2 Relationships |
93 | |
94 | =over 4 |
95 | |
96 | =item .. tell DBIx::Class about relationships between my tables? |
97 | |
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98 | There are a variety of relationship types that come pre-defined for |
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99 | you to use. These are all listed in L<DBIx::Class::Relationship>. If |
100 | you need a non-standard type, or more information, look in |
101 | L<DBIx::Class::Relationship::Base>. |
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102 | |
103 | =item .. define a one-to-many relationship? |
104 | |
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105 | This is called a C<has_many> relationship on the one side, and a |
106 | C<belongs_to> relationship on the many side. Currently these need to |
107 | be set up individually on each side. See L<DBIx::Class::Relationship> |
108 | for details. |
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109 | |
110 | =item .. define a relationship where this table contains another table's primary key? (foreign key) |
111 | |
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112 | Create a C<belongs_to> relationship for the field containing the |
113 | foreign key. See L<DBIx::Class::Relationship/belongs_to>. |
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114 | |
115 | =item .. define a foreign key relationship where the key field may contain NULL? |
116 | |
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117 | Just create a C<belongs_to> relationship, as above. If the column is |
118 | NULL then the inflation to the foreign object will not happen. This |
119 | has a side effect of not always fetching all the relevant data, if you |
120 | use a nullable foreign-key relationship in a JOIN, then you probably |
121 | want to set the C<join_type> to C<left>. |
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122 | |
123 | =item .. define a relationship where the key consists of more than one column? |
124 | |
125 | Instead of supplying a single column name, all relationship types also |
126 | allow you to supply a hashref containing the condition across which |
127 | the tables are to be joined. The condition may contain as many fields |
128 | as you like. See L<DBIx::Class::Relationship::Base>. |
129 | |
130 | =item .. define a relatiopnship across an intermediate table? (many-to-many) |
131 | |
132 | Read the documentation on L<DBIx::Class::Relationship/many_to_many>. |
133 | |
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134 | =item .. stop DBIx::Class from attempting to cascade deletes on my has_many and might_have relationships? |
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135 | |
136 | By default, DBIx::Class cascades deletes and updates across |
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137 | C<has_many> and C<might_have> relationships. You can disable this |
138 | behaviour on a per-relationship basis by supplying |
139 | C<< cascade_delete => 0 >> in the relationship attributes. |
140 | |
141 | The cascaded operations are performed after the requested delete or |
142 | update, so if your database has a constraint on the relationship, it |
143 | will have deleted/updated the related records or raised an exception |
144 | before DBIx::Class gets to perform the cascaded operation. |
145 | |
146 | See L<DBIx::Class::Relationship>. |
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147 | |
148 | =item .. use a relationship? |
149 | |
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150 | Use its name. An accessor is created using the name. See examples in |
151 | L<DBIx::Class::Manual::Cookbook/Using relationships>. |
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152 | |
153 | =back |
154 | |
155 | =head2 Searching |
156 | |
157 | =over 4 |
158 | |
159 | =item .. search for data? |
160 | |
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161 | Create a C<$schema> object, as mentioned above in ".. connect to my |
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162 | database". Find the L<ResultSet|DBIx::Class::Manual::Glossary/ResultSet> |
163 | that you want to search in, and call C<search> on it. See |
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164 | L<DBIx::Class::ResultSet/search>. |
165 | |
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166 | =item .. search using database functions? |
167 | |
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168 | Supplying something like: |
169 | |
170 | ->search({'mydatefield' => 'now()'}) |
171 | |
172 | to search, will probably not do what you expect. It will quote the |
173 | text "now()", instead of trying to call the function. To provide |
174 | literal, unquoted text you need to pass in a scalar reference, like |
175 | so: |
176 | |
177 | ->search({'mydatefield' => \'now()'}) |
178 | |
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179 | =item .. sort the results of my search? |
180 | |
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181 | Supply a list of columns you want to sort by to the C<order_by> |
182 | attribute. See L<DBIx::Class::ResultSet/order_by>. |
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183 | |
184 | =item .. sort my results based on fields I've aliased using C<as>? |
185 | |
186 | You don't. You'll need to supply the same functions/expressions to |
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187 | C<order_by>, as you did to C<select>. |
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188 | |
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189 | To get "fieldname AS alias" in your SQL, you'll need to supply a |
190 | literal chunk of SQL in your C<select> attribute, such as: |
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191 | |
192 | ->search({}, { select => [ \'now() AS currenttime'] }) |
193 | |
194 | Then you can use the alias in your C<order_by> attribute. |
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195 | |
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196 | =item .. group the results of my search? |
197 | |
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198 | Supply a list of columns you want to group on, to the C<group_by> |
199 | attribute, see L<DBIx::Class::ResultSet/group_by>. |
200 | |
201 | =item .. group my results based on fields I've aliased using C<as>? |
202 | |
203 | You don't. You'll need to supply the same functions/expressions to |
204 | C<group_by>, as you did to C<select>. |
205 | |
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206 | To get "fieldname AS alias" in your SQL, you'll need to supply a |
207 | literal chunk of SQL in your C<select> attribute, such as: |
208 | |
209 | ->search({}, { select => [ \'now() AS currenttime'] }) |
210 | |
211 | Then you can use the alias in your C<group_by> attribute. |
212 | |
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213 | =item .. filter the results of my search? |
214 | |
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215 | The first argument to C<search> is a hashref of accessor names and |
216 | values to filter them by, for example: |
217 | |
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218 | ->search({'created_time' => { '>=', '2006-06-01 00:00:00' } }) |
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219 | |
220 | Note that to use a function here you need to make the whole value into |
221 | a scalar reference: |
222 | |
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223 | ->search({'created_time' => \'>= yesterday()' }) |
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224 | |
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225 | =item .. search in several tables simultaneously? |
226 | |
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227 | To search in two related tables, you first need to set up appropriate |
228 | relationships between their respective classes. When searching you |
229 | then supply the name of the relationship to the C<join> attribute in |
230 | your search, for example when searching in the Books table for all the |
231 | books by the author "Fred Bloggs": |
232 | |
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233 | ->search({'authors.name' => 'Fred Bloggs'}, { join => 'authors' }) |
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234 | |
235 | The type of join created in your SQL depends on the type of |
236 | relationship between the two tables, see L<DBIx::Class::Relationship> |
237 | for the join used by each relationship. |
238 | |
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239 | =item .. create joins with conditions other than column equality? |
240 | |
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241 | Currently, L<DBIx::Class> can only create join conditions using |
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242 | equality, so you're probably better off creating a C<view> in your |
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243 | database, and using that as your source. A C<view> is a stored SQL |
244 | query, which can be accessed similarly to a table, see your database |
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245 | documentation for details. |
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246 | |
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247 | =item .. search using greater-than or less-than and database functions? |
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248 | |
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249 | To use functions or literal SQL with conditions other than equality |
250 | you need to supply the entire condition, for example: |
251 | |
252 | my $interval = "< now() - interval '12 hours'"; |
253 | ->search({last_attempt => \$interval}) |
254 | |
255 | and not: |
256 | |
257 | my $interval = "now() - interval '12 hours'"; |
258 | ->search({last_attempt => { '<' => \$interval } }) |
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259 | |
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260 | =item .. search with an SQL function on the left hand side? |
261 | |
262 | To use an SQL function on the left hand side of a comparison: |
263 | |
264 | ->search({}, { where => \'YEAR(date_of_birth)=1979' }); |
265 | |
266 | =begin hidden |
267 | |
268 | (When the bind arg ordering bug is fixed, the previous example can be |
269 | replaced with the following.) |
270 | |
271 | ->search({}, { where => \'YEAR(date_of_birth)=?', bind => [ 1979 ] }); |
272 | |
273 | =end hidden |
274 | |
275 | Or, if you have quoting off: |
276 | |
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277 | ->search({ 'YEAR(date_of_birth)' => 1979 }); |
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278 | |
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279 | =item .. find more help on constructing searches? |
280 | |
281 | Behind the scenes, DBIx::Class uses L<SQL::Abstract> to help construct |
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282 | its SQL searches. So if you fail to find help in the |
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283 | L<DBIx::Class::Manual::Cookbook>, try looking in the SQL::Abstract |
284 | documentation. |
285 | |
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286 | =item .. make searches in Oracle (10gR2 and newer) case-insensitive? |
287 | |
288 | To make Oracle behave like most RDBMS use on_connect_do to issue |
289 | alter session statements on database connection establishment: |
290 | |
291 | ->on_connect_do("ALTER SESSION SET NLS_COMP = 'LINGUISTIC'"); |
292 | ->on_connect_do("ALTER SESSION SET NLS_SORT = '<NLS>_CI'"); |
293 | e.g. |
294 | ->on_connect_do("ALTER SESSION SET NLS_SORT = 'BINARY_CI'"); |
295 | ->on_connect_do("ALTER SESSION SET NLS_SORT = 'GERMAN_CI'"); |
296 | |
297 | |
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298 | =back |
299 | |
300 | =head2 Fetching data |
301 | |
302 | =over 4 |
303 | |
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304 | =item .. fetch as much data as possible in as few select calls as possible? |
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305 | |
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306 | See the prefetch examples in the L<Cookbook|DBIx::Class::Manual::Cookbook>. |
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307 | |
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308 | =item .. fetch a whole column of data instead of a row? |
309 | |
310 | Call C<get_column> on a L<DBIx::Class::ResultSet>, this returns a |
311 | L<DBIx::Class::ResultSetColumn>, see it's documentation and the |
312 | L<Cookbook|DBIx::Class::Manual::Cookbook> for details. |
313 | |
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314 | =item .. fetch a formatted column? |
315 | |
316 | In your table schema class, create a "private" column accessor with: |
317 | |
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318 | __PACKAGE__->add_columns(my_column => { accessor => '_hidden_my_column' }); |
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319 | |
320 | Then, in the same class, implement a subroutine called "my_column" that |
321 | fetches the real value and does the formatting you want. |
322 | |
323 | See the Cookbook for more details. |
324 | |
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325 | =item .. fetch a single (or topmost) row? |
326 | |
327 | Sometimes you many only want a single record back from a search. A quick |
328 | way to get that single row is to first run your search as usual: |
329 | |
330 | ->search->(undef, { order_by => "id DESC" }) |
331 | |
332 | Then call L<DBIx::Class::ResultSet/slice> and ask it only to return 1 row: |
333 | |
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334 | ->slice(0) |
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335 | |
336 | These two calls can be combined into a single statement: |
337 | |
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338 | ->search->(undef, { order_by => "id DESC" })->slice(0) |
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339 | |
340 | Why slice instead of L<DBIx::Class::ResultSet/first> or L<DBIx::Class::ResultSet/single>? |
341 | If supported by the database, slice will use LIMIT/OFFSET to hint to the database that we |
342 | really only need one row. This can result in a significant speed improvement. |
343 | |
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344 | =item .. refresh a row from storage? |
345 | |
346 | Use L<DBIx::Class::PK/discard_changes>. |
347 | |
348 | $row->discard_changes |
349 | |
350 | Discarding changes and refreshing from storage are two sides fo the same coin. When you |
351 | want to discard your local changes, just re-fetch the row from storage. When you want |
352 | to get a new, fresh copy of the row, just re-fetch the row from storage. |
353 | L<DBIx::Class::PK/discard_changes> does just that by re-fetching the row from storage |
354 | using the row's primary key. |
355 | |
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356 | =item .. fetch my data a "page" at a time? |
357 | |
358 | Pass the C<rows> and C<page> attributes to your search, eg: |
359 | |
360 | ->search({}, { rows => 10, page => 1}); |
361 | |
362 | =item .. get a count of all rows even when paging? |
363 | |
364 | Call C<pager> on the paged resultset, it will return a L<Data::Page> |
365 | object. Calling C<total_entries> on the pager will return the correct |
366 | total. |
367 | |
368 | C<count> on the resultset will only return the total number in the page. |
369 | |
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370 | =back |
371 | |
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372 | =head2 Inserting and updating data |
373 | |
374 | =over 4 |
375 | |
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376 | =item .. insert a row with an auto incrementing primary key? |
377 | |
378 | In versions of L<DBIx::Class> less than 0.07, you need to ensure your |
379 | table class loads the L<PK::Auto|DBIx::Class::PK::Auto> |
380 | component. This will attempt to fetch the value of your primary key |
381 | from the database after the insert has happened, and store it in the |
382 | created object. In versions 0.07 and above, this component is |
383 | automatically loaded. |
384 | |
385 | =item .. insert a row with a primary key that uses a sequence? |
386 | |
387 | You need to create a trigger in your database that updates your |
388 | primary key field from the sequence. To help PK::Auto find your |
389 | inserted key, you can tell it the name of the sequence in the |
390 | C<column_info> supplied with C<add_columns>. |
391 | |
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392 | ->add_columns({ id => { sequence => 'mysequence', auto_nextval => 1 } }); |
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393 | |
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394 | =item .. insert many rows of data efficiently? |
395 | |
396 | =item .. update a collection of rows at the same time? |
397 | |
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398 | Create a resultset using a search, to filter the rows of data you |
399 | would like to update, then call update on the resultset to change all |
400 | the rows at once. |
401 | |
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402 | =item .. use database functions when updating rows? |
403 | |
404 | =item .. update a column using data from another column? |
405 | |
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406 | To stop the column name from being quoted, you'll need to supply a |
407 | scalar reference: |
408 | |
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409 | ->update({ somecolumn => \'othercolumn' }) |
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410 | |
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411 | But note that when using a scalar reference the column in the database |
412 | will be updated but when you read the value from the object with e.g. |
413 | |
414 | ->somecolumn() |
415 | |
416 | you still get back the scalar reference to the string, B<not> the new |
417 | value in the database. To get that you must refresh the row from storage |
418 | using C<discard_changes()>. Or chain your function calls like this: |
419 | |
420 | ->update->discard_changes |
421 | |
422 | to update the database and refresh the object in one step. |
423 | |
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424 | =item .. store JSON/YAML in a column and have it deflate/inflate automatically? |
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425 | |
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426 | You can use L<DBIx::Class::InflateColumn> to accomplish YAML/JSON storage transparently. |
427 | |
428 | If you want to use JSON, then in your table schema class, do the following: |
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429 | |
430 | use JSON; |
431 | |
432 | __PACKAGE__->add_columns(qw/ ... my_column ../) |
433 | __PACKAGE__->inflate_column('my_column', { |
434 | inflate => sub { jsonToObj(shift) }, |
435 | deflate => sub { objToJson(shift) }, |
436 | }); |
437 | |
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438 | For YAML, in your table schema class, do the following: |
439 | |
440 | use YAML; |
441 | |
442 | __PACKAGE__->add_columns(qw/ ... my_column ../) |
443 | __PACKAGE__->inflate_column('my_column', { |
444 | inflate => sub { YAML::Load(shift) }, |
445 | deflate => sub { YAML::Dump(shift) }, |
446 | }); |
447 | |
448 | This technique is an easy way to store supplemental unstructured data in a table. Be |
449 | careful not to overuse this capability, however. If you find yourself depending more |
450 | and more on some data within the inflated column, then it may be time to factor that |
451 | data out. |
452 | |
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453 | =back |
454 | |
455 | =head2 Misc |
456 | |
457 | =over 4 |
458 | |
459 | =item How do I store my own (non-db) data in my DBIx::Class objects? |
460 | |
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461 | You can add your own data accessors to your classes. |
462 | |
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463 | One method is to use the built in mk_group_accessors (via L<Class::Accessor::Grouped>) |
464 | |
465 | package MyTable; |
466 | |
467 | use parent 'DBIx::Class'; |
468 | |
469 | __PACKAGE__->table('foo'); #etc |
470 | __PACKAGE__->mk_group_accessors('simple' => qw/non_column_data/); # must use simple group |
471 | |
472 | An another method is to use L<Moose> with your L<DBIx::Class> package. |
473 | |
474 | package MyTable; |
475 | |
476 | use Moose; # import Moose |
477 | use Moose::Util::TypeConstraint; # import Moose accessor type constraints |
478 | |
479 | extends 'DBIx::Class'; # Moose changes the way we define our parent (base) package |
480 | |
481 | has 'non_column_data' => ( is => 'rw', isa => 'Str' ); # define a simple attribute |
482 | |
483 | __PACKAGE__->table('foo'); # etc |
484 | |
485 | With either of these methods the resulting use of the accesssor would be |
486 | |
487 | my $row; |
488 | |
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489 | # assume that some where in here $row will get assigned to a MyTable row |
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490 | |
491 | $row->non_column_data('some string'); # would set the non_column_data accessor |
492 | |
493 | # some other stuff happens here |
494 | |
495 | $row->update(); # would not inline the non_column_data accessor into the update |
496 | |
497 | |
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498 | =item How do I use DBIx::Class objects in my TT templates? |
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499 | |
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500 | Like normal objects, mostly. However you need to watch out for TT |
501 | calling methods in list context. When calling relationship accessors |
502 | you will not get resultsets, but a list of all the related objects. |
503 | |
504 | Starting with version 0.07, you can use L<DBIx::Class::ResultSet/search_rs> |
505 | to work around this issue. |
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506 | |
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507 | =item See the SQL statements my code is producing? |
508 | |
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509 | Turn on debugging! See L<DBIx::Class::Storage> for details of how |
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510 | to turn on debugging in the environment, pass your own filehandle to |
511 | save debug to, or create your own callback. |
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512 | |
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513 | =item Why didn't my search run any SQL? |
514 | |
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515 | L<DBIx::Class> runs the actual SQL statement as late as possible, thus |
516 | if you create a resultset using C<search> in scalar context, no query |
517 | is executed. You can create further resultset refinements by calling |
518 | search again or relationship accessors. The SQL query is only run when |
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519 | you ask the resultset for an actual row object. |
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520 | |
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521 | =item How do I deal with tables that lack a primary key? |
522 | |
523 | If your table lacks a primary key, DBIx::Class can't work out which row |
524 | it should operate on, for example to delete or update. However, a |
525 | UNIQUE constraint on one or more columns allows DBIx::Class to uniquely |
526 | identify the row, so you can tell L<DBIx::Class::ResultSource> these |
527 | columns act as a primary key, even if they don't from the database's |
528 | point of view: |
529 | |
530 | $resultset->set_primary_key(@column); |
531 | |
bc96f260 |
532 | =item How do I make my program start faster? |
533 | |
534 | Look at the tips in L<DBIx::Class::Manual::Cookbook/"STARTUP SPEED"> |
535 | |
536 | =item How do I reduce the overhead of database queries? |
537 | |
538 | You can reduce the overhead of object creation within L<DBIx::Class> |
539 | using the tips in L<DBIx::Class::Manual::Cookbook/"Skip row object creation for faster results"> |
540 | and L<DBIx::Class::Manual::Cookbook/"Get raw data for blindingly fast results"> |
541 | |
81791ac3 |
542 | =back |
462bb847 |
543 | |
544 | =head2 Notes for CDBI users |
545 | |
546 | =over 4 |
547 | |
548 | =item Is there a way to make an object auto-stringify itself as a |
549 | particular column or group of columns (a-la cdbi Stringfy column |
550 | group, or stringify_self method) ? |
551 | |
c6d52fe4 |
552 | See L<DBIx::Class::Manual::Cookbook/Stringification> |
462bb847 |
553 | |
554 | =back |
acdda5b2 |
555 | |
556 | =head2 Troubleshooting |
557 | |
558 | =over 4 |
559 | |
560 | =item Help, I can't connect to postgresql! |
561 | |
562 | If you get an error such as: |
563 | |
564 | DBI connect('dbname=dbic','user',...) failed: could not connect to server: |
565 | No such file or directory Is the server running locally and accepting |
566 | connections on Unix domain socket "/var/run/postgresql/.s.PGSQL.5432"? |
567 | |
568 | Likely you have/had two copies of postgresql installed simultaneously, the |
569 | second one will use a default port of 5433, while L<DBD::Pg> is compiled with a |
570 | default port of 5432. |
571 | |
572 | You can chance the port setting in C<postgresql.conf>. |
573 | |
574 | =back |