leveled/src/leveled_pmem.erl

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%% -------- PENCILLER MEMORY ---------
%%
%% Module that provides functions for maintaining the L0 memory of the
%% Penciller.
%%
%% It is desirable that the L0Mem can efficiently handle the push of new trees
%% whilst maintaining the capability to quickly snapshot the memory for clones
%% of the Penciller.
%%
%% ETS tables are not used due to complications with managing their mutability,
%% as the database is snapshotted.
%%
%% An attempt was made to merge all trees into a single tree on push (in a
%% spawned process), but this proved to have an expensive impact as the tree
%% got larger.
%%
%% This approach is to keep a list of trees which have been received in the
%% order which they were received. There is then a fixed-size array of hashes
%% used to either point lookups at the right tree in the list, or inform the
%% requestor it is not present avoiding any lookups.
%%
%% Tests show this takes one third of the time at push (when compared to
%% merging to a single tree), and is an order of magnitude more efficient as
%% the tree reaches peak size. It is also an order of magnitude more
%% efficient to use the hash index when compared to looking through all the
%% trees.
%%
%% Total time for single_tree 217000 microseconds
%% Total time for array_tree 209000 microseconds
%% Total time for array_list 142000 microseconds
%% Total time for array_filter 69000 microseconds
%% List of 2000 checked without array - success count of 90 in 36000 microsecs
%% List of 2000 checked with array - success count of 90 in 1000 microsecs
%%
%% The trade-off taken with the approach is that the size of the L0Cache is
%% uncertain. The Size count is incremented if the hash is not already
%% present, so the size may be lower than the actual size due to hash
%% collisions
-module(leveled_pmem).
-include("include/leveled.hrl").
-export([
add_to_cache/4,
to_list/2,
check_levelzero/3,
merge_trees/4,
add_to_index/2,
new_index/0,
check_index/2
]).
-include_lib("eunit/include/eunit.hrl").
%%%============================================================================
%%% API
%%%============================================================================
add_to_cache(L0Size, {LevelMinus1, MinSQN, MaxSQN}, LedgerSQN, TreeList) ->
LM1Size = leveled_skiplist:size(LevelMinus1),
case LM1Size of
0 ->
{LedgerSQN, L0Size, TreeList};
_ ->
if
MinSQN >= LedgerSQN ->
{MaxSQN,
L0Size + LM1Size,
lists:append(TreeList, [LevelMinus1])}
end
end.
add_to_index(LevelMinus1, L0Index) ->
IndexAddFun =
fun({_K, V}) ->
{_, _, Hash, _} = leveled_codec:striphead_to_details(V),
case Hash of
no_lookup ->
ok;
_ ->
ets:insert(L0Index, {Hash})
end
end,
lists:foreach(IndexAddFun, leveled_skiplist:to_list(LevelMinus1)).
new_index() ->
ets:new(l0index, [private, set]).
check_index(Hash, L0Index) ->
case ets:lookup(L0Index, Hash) of
[{Hash}] ->
true;
[] ->
false
end.
to_list(Slots, FetchFun) ->
SW = os:timestamp(),
SlotList = lists:reverse(lists:seq(1, Slots)),
FullList = lists:foldl(fun(Slot, Acc) ->
Tree = FetchFun(Slot),
L = leveled_skiplist:to_list(Tree),
lists:ukeymerge(1, Acc, L)
end,
[],
SlotList),
leveled_log:log_timer("PM002", [length(FullList)], SW),
FullList.
check_levelzero(Key, TreeList) ->
check_levelzero(Key, leveled_codec:magic_hash(Key), TreeList).
check_levelzero(_Key, _Hash, []) ->
{false, not_found};
check_levelzero(Key, Hash, TreeList) ->
check_slotlist(Key, Hash, lists:seq(1, length(TreeList)), TreeList).
merge_trees(StartKey, EndKey, SkipListList, LevelMinus1) ->
lists:foldl(fun(SkipList, Acc) ->
R = leveled_skiplist:to_range(SkipList,
StartKey,
EndKey),
lists:ukeymerge(1, Acc, R) end,
[],
[LevelMinus1|lists:reverse(SkipListList)]).
%%%============================================================================
%%% Internal Functions
%%%============================================================================
check_slotlist(Key, Hash, CheckList, TreeList) ->
SlotCheckFun =
fun(SlotToCheck, {Found, KV}) ->
case Found of
true ->
{Found, KV};
false ->
CheckTree = lists:nth(SlotToCheck, TreeList),
case leveled_skiplist:lookup(Key, Hash, CheckTree) of
none ->
{Found, KV};
{value, Value} ->
{true, {Key, Value}}
end
end
end,
lists:foldl(SlotCheckFun,
{false, not_found},
lists:reverse(CheckList)).
%%%============================================================================
%%% Test
%%%============================================================================
-ifdef(TEST).
generate_randomkeys(Seqn, Count, BucketRangeLow, BucketRangeHigh) ->
generate_randomkeys(Seqn,
Count,
leveled_skiplist:empty(true),
BucketRangeLow,
BucketRangeHigh).
generate_randomkeys(_Seqn, 0, Acc, _BucketLow, _BucketHigh) ->
Acc;
generate_randomkeys(Seqn, Count, Acc, BucketLow, BRange) ->
BNumber = string:right(integer_to_list(BucketLow + random:uniform(BRange)),
4, $0),
KNumber = string:right(integer_to_list(random:uniform(1000)), 4, $0),
{K, V} = {{o, "Bucket" ++ BNumber, "Key" ++ KNumber, null},
{Seqn, {active, infinity}, null}},
generate_randomkeys(Seqn + 1,
Count - 1,
leveled_skiplist:enter(K, V, Acc),
BucketLow,
BRange).
compare_method_test() ->
R = lists:foldl(fun(_X, {LedgerSQN, L0Size, L0TreeList}) ->
LM1 = generate_randomkeys(LedgerSQN + 1,
2000, 1, 500),
add_to_cache(L0Size,
{LM1,
LedgerSQN + 1,
LedgerSQN + 2000},
LedgerSQN,
L0TreeList)
end,
{0, 0, []},
lists:seq(1, 16)),
{SQN, Size, TreeList} = R,
?assertMatch(32000, SQN),
?assertMatch(true, Size =< 32000),
TestList = leveled_skiplist:to_list(generate_randomkeys(1, 2000, 1, 800)),
FindKeyFun =
fun(Key) ->
fun(Tree, {Found, KV}) ->
case Found of
true ->
{true, KV};
false ->
L0 = leveled_skiplist:lookup(Key, Tree),
case L0 of
none ->
{false, not_found};
{value, Value} ->
{true, {Key, Value}}
end
end
end
end,
S0 = lists:foldl(fun({Key, _V}, Acc) ->
R0 = lists:foldr(FindKeyFun(Key),
{false, not_found},
TreeList),
[R0|Acc] end,
[],
TestList),
S1 = lists:foldl(fun({Key, _V}, Acc) ->
R0 = check_levelzero(Key, TreeList),
[R0|Acc]
end,
[],
TestList),
?assertMatch(S0, S1),
StartKey = {o, "Bucket0100", null, null},
EndKey = {o, "Bucket0200", null, null},
SWa = os:timestamp(),
FetchFun = fun(Slot) -> lists:nth(Slot, TreeList) end,
DumpList = to_list(length(TreeList), FetchFun),
Q0 = lists:foldl(fun({K, V}, Acc) ->
P = leveled_codec:endkey_passed(EndKey, K),
case {K, P} of
{K, false} when K >= StartKey ->
leveled_skiplist:enter(K, V, Acc);
_ ->
Acc
end
end,
leveled_skiplist:empty(),
DumpList),
Sz0 = leveled_skiplist:size(Q0),
io:format("Crude method took ~w microseconds resulting in tree of " ++
"size ~w~n",
[timer:now_diff(os:timestamp(), SWa), Sz0]),
SWb = os:timestamp(),
Q1 = merge_trees(StartKey, EndKey, TreeList, leveled_skiplist:empty()),
Sz1 = length(Q1),
io:format("Merge method took ~w microseconds resulting in tree of " ++
"size ~w~n",
[timer:now_diff(os:timestamp(), SWb), Sz1]),
?assertMatch(Sz0, Sz1).
-endif.