Mnesia Table Fragmentation
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| Revision as of 08:07, 27 October 2007 (edit) Eranga (Talk | contribs) ← Previous diff |
Revision as of 08:17, 27 October 2007 (edit) (undo) Eranga (Talk | contribs) (typo corrections) Next diff → |
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| Line 13: | Line 13: | ||
| ==Start an Erlang node== | ==Start an Erlang node== | ||
| - | Our example node foo@example | + | Our example node foo@example have a default disc storage paths set to the directory Mnesia.foo@example in the current directory. |
| + | erl -sname foo | ||
| The directory can be overriden by using -mnesia dir '"/path/of/your/preference"' ' when starting the node. | The directory can be overriden by using -mnesia dir '"/path/of/your/preference"' ' when starting the node. | ||
| Line 31: | Line 32: | ||
| ==Add records== | ==Add records== | ||
| - | Create a function | + | Create a function which calls mnesia:write/3. |
| AddFun = fun() -> | AddFun = fun() -> | ||
| mnesia:write(book_info, Record, write) | mnesia:write(book_info, Record, write) | ||
| Line 39: | Line 40: | ||
| ok = mnesia:activity(transaction, AddFun, [], mnesia_frag) | ok = mnesia:activity(transaction, AddFun, [], mnesia_frag) | ||
| - | Notice that I have used the activity access context as transaction. Transaction makes sure that the operation is all successfull or all fail (atomic). AccessContext I can use are, | + | Notice that I have used the activity access context as "transaction". Transaction makes sure that the operation is all successfull or all fail (atomic). AccessContext I can use are, |
| {transaction, Retries} | {transaction, Retries} | ||
| sync_transaction | sync_transaction | ||
| Line 53: | Line 54: | ||
| ==Select records with limit== | ==Select records with limit== | ||
| - | + | As an example let's select books by Author "steve" with 10 books limit. Remember 10 is not a hard limit. Create a function with mnesia:select/4 function. | |
| MatchHead = #book_info{author = "steve", _ = '_'}, | MatchHead = #book_info{author = "steve", _ = '_'}, | ||
| Guard = [], | Guard = [], | ||
| Line 62: | Line 63: | ||
| end, | end, | ||
| - | Now call that function | + | Now call that function inside mnesia:activity/4 as below. |
| Result = mnesia:activity(transaction, AddFun, [], mnesia_frag) | Result = mnesia:activity(transaction, AddFun, [], mnesia_frag) | ||
| Line 76: | Line 77: | ||
| - | That's it | + | That's it! Now you know how to write your basic Mnesia fragmented tables program. |
| [[Category:HowTo]] | [[Category:HowTo]] | ||
Revision as of 08:17, 27 October 2007
Contents |
Overview
This HOWTO describes how you make Fragmented Mnesia tables and how to use them.
Requirements
Let's say I have a make book library index application. There's a table I use to record all the available library book. The record structure is as below. Due to the high volume of data, I want this table to be fragmented in a single Erlang node. If you want to make this fragmented table distributed, you may refer to http://www.trapexit.org/Distributing_a_Mnesia_schema tutorial on making distributed table. All the rest of the work related to table framentation remains same.
Sample Fragmented Table
I need this table to be disk_copies. Other modes also operate the same way.
-record(book_info, {isbn, name, author, keywords, category, description}).
Start an Erlang node
Our example node foo@example have a default disc storage paths set to the directory Mnesia.foo@example in the current directory.
erl -sname foo
The directory can be overriden by using -mnesia dir '"/path/of/your/preference"' ' when starting the node.
Let create a disk based schema by running,
mnesia:create_schema([node()]).
Create the Fragmented table with 20 table fragments
In this example all the 20 fragments are in the same Erlang/Mnesia node. Also the fragments are disc_copies.
mnesia:create_table(book_info,
[{frag_properties, [{node_pool, [node()]}, {n_fragments, 20}, {n_disc_copies, 1}]},
{index, [name, keywords, category]},
{attributes, record_info(fields, book_info)}]),
Data operations
In order to be able to access a record in a fragmented table, Mnesia must determine to which fragment the actual record belongs. This is done by the mnesia_frag module, which implements the mnesia_access callback behaviour. Wrap standard Mnesia operation functions inside the function and pass to mnesia:activity/4 with callback module mnesia_frag.
Add records
Create a function which calls mnesia:write/3.
AddFun = fun() ->
mnesia:write(book_info, Record, write)
end
Now call that function in inside mnesia:activity/4 as below.
ok = mnesia:activity(transaction, AddFun, [], mnesia_frag)
Notice that I have used the activity access context as "transaction". Transaction makes sure that the operation is all successfull or all fail (atomic). AccessContext I can use are,
{transaction, Retries}
sync_transaction
{sync_transaction, Retries}
async_dirty
sync_dirty
ets
For example if you want to do above activity in dirty mode, you can write,
ok = mnesia:activity(async_dirty, AddFun, [], mnesia_frag) Refer to mnesia:activity/4 documentation for more info.
Select records with limit
As an example let's select books by Author "steve" with 10 books limit. Remember 10 is not a hard limit. Create a function with mnesia:select/4 function.
MatchHead = #book_info{author = "steve", _ = '_'},
Guard = [],
Result = ['$_'],
MatchSpec = [{MatchHead, Guard, Result}],
SelFun = fun() ->
mnesia:select(book_info, MatchSpec, 10, read)
end,
Now call that function inside mnesia:activity/4 as below.
Result = mnesia:activity(transaction, AddFun, [], mnesia_frag)
Result -> '$end_of_table' | {[Objects], Cont} | transaction abort
In fragmented table, if it returns {[Objects], Cont} and the number of objects return is less than the number of expected objects (10), you need to run recursivly mnesia:select/1 with the return Cont (continuation) until you get the expected number of results or '$end_of_table'.
SelFun2 = fun() ->
mnesia:select(Cont)
end,
Result2 = mnesia:activity(transaction, AddFun, [], mnesia_frag)
Result2 -> '$end_of_table' | {[Objects], Cont} | transaction abort
That's it! Now you know how to write your basic Mnesia fragmented tables program.

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