| KiokuDB::Backend::DBI(3pm) | User Contributed Perl Documentation | KiokuDB::Backend::DBI(3pm) |
KiokuDB::Backend::DBI - DBI backend for KiokuDB
version 1.23
my $dir = KiokuDB->connect(
"dbi:mysql:foo",
user => "blah",
password => "moo',
columns => [
# specify extra columns for the 'entries' table
# in the same format you pass to DBIC's add_columns
name => {
data_type => "varchar",
is_nullable => 1, # probably important
},
],
);
$dir->search({ name => "foo" }); # SQL::Abstract
This backend for KiokuDB leverages existing DBI accessible databases.
The schema is based on two tables, "entries" and "gin_index" (the latter is only used if a Search::GIN extractor is specified).
The "entries" table has two main columns, "id" and "data" (currently in JSPON format, in the future the format will be pluggable), and additional user specified columns.
The user specified columns are extracted from inserted objects using a callback (or just copied for simple scalars), allowing SQL where clauses to be used for searching.
The columns are specified using a DBIx::Class::ResultSource instance.
One additional column info parameter is used, "extract", which is called as a method on the inserted object with the column name as the only argument. The return value from this callback will be used to populate the column.
If the column extractor is omitted then the column will contain a copy of the entry data key by the same name, if it is a plain scalar. Otherwise the column will be "NULL".
These columns are only used for lookup purposes, only "data" is consulted when loading entries.
This backend is layered on top of DBIx::Class::Storage::DBI and reused DBIx::Class::Schema for DDL.
Because of this objects from a DBIx::Class::Schema can refer to objects in the KiokuDB entries table, and vice versa.
For more details see DBIx::Class::Schema::KiokuDB.
This driver has been tested with MySQL 5 (4.1 should be the minimal supported version), SQLite 3, and PostgreSQL 8.3.
The SQL code is reasonably portable and should work with most databases. Binary column support is required when using the Storable serializer.
For reasons of performance and ease of use database vendors ship with read committed transaction isolation by default.
This means that read locks are not acquired when data is fetched from the database, allowing it to be updated by another writer. If the current transaction then updates the value it will be silently overwritten.
IMHO this is a much bigger problem when the data is unstructured. This is because data is loaded and fetched in potentially smaller chunks, increasing the risk of phantom reads.
Unfortunately enabling truly isolated transaction semantics means that "txn_commit" may fail due to a lock contention, forcing you to repeat your transaction. Arguably this is more correct "read comitted", which can lead to race conditions.
Enabling repeatable read or serializable transaction isolation prevents transactions from interfering with eachother, by ensuring all data reads are performed with a shared lock.
For more information on isolation see <http://en.wikipedia.org/wiki/Isolation_(computer_science)>
SQLite
SQLite provides serializable isolation by default.
<http://www.sqlite.org/pragma.html#pragma_read_uncommitted>
MySQL
MySQL provides read committed isolation by default.
Serializable level isolation can be enabled by by default by changing the "transaction-isolation" global variable,
<http://dev.mysql.com/doc/refman/5.1/en/set-transaction.html#isolevel_serializable>
PostgreSQL
PostgreSQL provides read committed isolation by default.
Repeatable read or serializable isolation can be enabled by setting the default transaction isolation level, or using the "SET TRANSACTION" SQL statement.
<http://www.postgresql.org/docs/8.3/interactive/transaction-iso.html>, <http://www.postgresql.org/docs/8.3/interactive/runtime-config-client.html#GUC-DEFAULT-TRANSACTION-ISOLATION>
This is DBIx::Class::Schema object that is used for schema deployment, connectivity and transaction handling.
If omitted will be created from the attrs "dsn", "user", "password" and "dbi_attrs".
User in "connect_info"'s builder.
KiokuDB->connect("dbi:...", serializer => "storable");
Defaults to KiokuDB::Serializer::JSON.
Defaults to false.
Usually Search::GIN::Extract::Callback.
If you need to modify the schema in some way (adding indexes or constraints) this is where it should be done.
This is highly reccomended because these database provide low isolation guarantees as configured out the box, and highly interlinked graph databases are much more susceptible to corruption because of lack of transcational isolation than normalized relational databases.
Can be "OFF", "NORMAL" or "FULL" (SQLite's default), or 0, 1, or 2.
See <http://www.sqlite.org/pragma.html#pragma_synchronous>.
This is HIGHLY reccomended, or you may enjoy some of MySQL's more interesting features, like automatic data loss when the columns are too narrow.
See <http://dev.mysql.com/doc/refman/5.0/en/server-sql-mode.html> and DBIx::Class::Storage::DBI::mysql for more details.
This attribute is constructed based on the values of "mysql_version" and "sqlite_sync_mode", but may be overridden if you need more control.
Defaults to
{ on_connect_call => $self->on_connect_call }
This solves the issue with SQLite where lists can only handle 999 elements at a time. "batch_size" will be set to 999 by default if the driver in use is SQLite.
See KiokuDB::Backend and the various roles for more info.
Deployment to MySQL requires that you specify something like:
$dir->backend->deploy({ producer_args => { mysql_version => 4 } });
because MySQL versions before 4 did not have support for boolean types, and the schema emitted by SQL::Translator will not work with the queries used.
You are problably using MySQL, which comes with a helpful data compression feature: when your serialized objects are larger than the maximum size of a "BLOB" column MySQL will simply shorten it for you.
Why "BLOB" defaults to 64k, and how on earth someone would consider silent data truncation a sane default I could never fathom, but nevertheless MySQL does allow you to disable this by setting the "strict" SQL mode in the configuration.
To resolve the actual problem (though this obviously won't repair your lost data), alter the entries table so that the "data" column uses the nonstandard "LONGBLOB" datatype.
KiokuDB-Backend-DBI is maintained using Git. Information about the repository is available on <http://www.iinteractive.com/kiokudb/>
Yuval Kogman <nothingmuch@woobling.org>
This software is copyright (c) 2014 by Yuval Kogman, Infinity Interactive.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.
| 2018-03-30 | perl v5.26.1 |