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Innostore is a simple Erlang API to Embedded InnoDB.
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Innostore is a simple Erlang API to Embedded InnoDB.

Innostore does not attempt to provide the same API as Inno itself, but instead
provides a simpler interface which is sufficient for many uses.  This interface
is exported by the "innostore" module of the "innostore" application.

An example of use of that interface can be found in the "innostore_riak" module,
which is a valid Riak backend module using innostore for storage.

* Download or clone the innostore project from

* In the innostore directory, build it:
  $ make

* Option 1: Install innostore into your Erlang distribution:
  $ make install

* Option 2: Install innostore into an existing Riak build:

  ** Use rebar to install into your Riak lib directory 
  $ ./rebar install target=$RIAK/lib

* Finally, configure riak to use innostore in app.config by setting
  the storage_backend. Change riak/etc/app.config:

  {storage_backend, innostore_riak}

* You may wish to also tune the innostore engine. Add a innostore
  application section to the riak/etc/app.config:

  %% Inno db config
  {innostore, [
               {data_home_dir,            "/mnt/innodb"},
               {log_group_home_dir,       "/mnt/innodb"},
               {buffer_pool_size,         2147483648} %% 2G of buffer


While InnoDB can be extremely fast for a durable store, its performance is
highly dependent on tuning the configuration to match the hardware and
dataset. All the configuration is available as application variables in the
innostore applications cope. An example configuration follows:

%% InnoDB config
{innostore, [
             {data_home_dir,            "/innodb"},     %% Where data files go
             {log_group_home_dir,       "/innodb-log"}, %% Where log files go
             {buffer_pool_size,         2147483648},    %% 2G in-memory buffer in bytes
             {log_files_in_group,       6},             %% How many files you need -- usually, 3 < x < 6
             {log_file_size,            134217728}      %% No bigger than 256MB

In general, only the first three parameters (data_home_dir, log_group_home_dir
and buffer_pool_size) will need to be changed. It is strongly recommended that
the data home dir and log home dir are kept on separate spindles/drives.

The buffer_pool_size determines how much data Inno tries to keep in memory at
once. Obviously, the more of your dataset that can fit in RAM, the better Inno
will perform. If you are running a 64-bit Erlang VM, the buffer_pool_size can
safely be set above 2G.

You can control the number of file descriptors Inno will use with open_files. 
Inno defaults to 300 which can cause problems on some platforms (e.g. OS X has 
a default limit of 256 handles). Either set {open_files, 100} in the config or 
increase the number of handles available.

Make sure to set noatime on any disk involved with Inno, particularly if you are
expecting significant load.

When running innostore on solaris+zfs, make sure to set the recordsize=16k on
the pool where data_home_dir lives (prior to starting innostore). You may also
find that setting primarycache=metadata will positively influence performance.


By default log output from Inno will be delivered on stderr. The error_log config
option allows redirecting to a file, for example to redirect to /var/log/innostore.log

  {innostore, [{error_log, "/var/log/innostore.log"}]}.
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