blob: b0fb2d28c46ee8f09c2c89ccf1efb61511cc7880 [file] [log] [blame]
#!/usr/bin/env escript
%% -*- erlang -*-
%%! -pa ./src/couchdb -sasl errlog_type error -boot start_sasl -noshell
% Licensed under the Apache License, Version 2.0 (the "License"); you may not
% use this file except in compliance with the License. You may obtain a copy of
% the License at
%
% http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writing, software
% distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
% WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
% License for the specific language governing permissions and limitations under
% the License.
filename() -> test_util:build_file("test/etap/temp.020").
rows() -> 250.
-record(btree, {
fd,
root,
extract_kv,
assemble_kv,
less,
reduce,
compression
}).
main(_) ->
test_util:init_code_path(),
etap:plan(75),
case (catch test()) of
ok ->
etap:end_tests();
Other ->
etap:diag(io_lib:format("Test died abnormally: ~p", [Other])),
etap:bail()
end,
ok.
%% @todo Determine if this number should be greater to see if the btree was
%% broken into multiple nodes. AKA "How do we appropiately detect if multiple
%% nodes were created."
test()->
Sorted = [{Seq, random:uniform()} || Seq <- lists:seq(1, rows())],
etap:ok(test_kvs(Sorted), "Testing sorted keys"),
etap:ok(test_kvs(lists:reverse(Sorted)), "Testing reversed sorted keys"),
etap:ok(test_kvs(shuffle(Sorted)), "Testing shuffled keys."),
ok.
test_kvs(KeyValues) ->
ReduceFun = fun
(reduce, KVs) ->
length(KVs);
(rereduce, Reds) ->
lists:sum(Reds)
end,
Keys = [K || {K, _} <- KeyValues],
{ok, Fd} = couch_file:open(filename(), [create,overwrite]),
{ok, Btree} = couch_btree:open(nil, Fd, [{compression, none}]),
etap:ok(is_record(Btree, btree), "Created btree is really a btree record"),
etap:is(Btree#btree.fd, Fd, "Btree#btree.fd is set correctly."),
etap:is(Btree#btree.root, nil, "Btree#btree.root is set correctly."),
etap:is(0, couch_btree:size(Btree), "Empty btrees have a 0 size."),
Btree1 = couch_btree:set_options(Btree, [{reduce, ReduceFun}]),
etap:is(Btree1#btree.reduce, ReduceFun, "Reduce function was set"),
{ok, _, EmptyRes} = couch_btree:foldl(Btree1, fun(_, X) -> {ok, X+1} end, 0),
etap:is(EmptyRes, 0, "Folding over an empty btree"),
{ok, Btree2} = couch_btree:add_remove(Btree1, KeyValues, []),
etap:ok(test_btree(Btree2, KeyValues),
"Adding all keys at once returns a complete btree."),
etap:is((couch_btree:size(Btree2) > 0), true,
"Non empty btrees have a size > 0."),
etap:is((couch_btree:size(Btree2) =< couch_file:bytes(Fd)), true,
"Btree size is <= file size."),
etap:fun_is(
fun
({ok, {kp_node, _}}) -> true;
(_) -> false
end,
couch_file:pread_term(Fd, element(1, Btree2#btree.root)),
"Btree root pointer is a kp_node."
),
{ok, Btree3} = couch_btree:add_remove(Btree2, [], Keys),
etap:ok(test_btree(Btree3, []),
"Removing all keys at once returns an empty btree."),
etap:is(0, couch_btree:size(Btree3),
"After removing all keys btree size is 0."),
{Btree4, _} = lists:foldl(fun(KV, {BtAcc, PrevSize}) ->
{ok, BtAcc2} = couch_btree:add_remove(BtAcc, [KV], []),
case couch_btree:size(BtAcc2) > PrevSize of
true ->
ok;
false ->
etap:bail("After inserting a value, btree size did not increase.")
end,
{BtAcc2, couch_btree:size(BtAcc2)}
end, {Btree3, couch_btree:size(Btree3)}, KeyValues),
etap:ok(test_btree(Btree4, KeyValues),
"Adding all keys one at a time returns a complete btree."),
etap:is((couch_btree:size(Btree4) > 0), true,
"Non empty btrees have a size > 0."),
{Btree5, _} = lists:foldl(fun({K, _}, {BtAcc, PrevSize}) ->
{ok, BtAcc2} = couch_btree:add_remove(BtAcc, [], [K]),
case couch_btree:size(BtAcc2) < PrevSize of
true ->
ok;
false ->
etap:bail("After removing a key, btree size did not decrease.")
end,
{BtAcc2, couch_btree:size(BtAcc2)}
end, {Btree4, couch_btree:size(Btree4)}, KeyValues),
etap:ok(test_btree(Btree5, []),
"Removing all keys one at a time returns an empty btree."),
etap:is(0, couch_btree:size(Btree5),
"After removing all keys, one by one, btree size is 0."),
KeyValuesRev = lists:reverse(KeyValues),
{Btree6, _} = lists:foldl(fun(KV, {BtAcc, PrevSize}) ->
{ok, BtAcc2} = couch_btree:add_remove(BtAcc, [KV], []),
case couch_btree:size(BtAcc2) > PrevSize of
true ->
ok;
false ->
etap:is(false, true,
"After inserting a value, btree size did not increase.")
end,
{BtAcc2, couch_btree:size(BtAcc2)}
end, {Btree5, couch_btree:size(Btree5)}, KeyValuesRev),
etap:ok(test_btree(Btree6, KeyValues),
"Adding all keys in reverse order returns a complete btree."),
{_, Rem2Keys0, Rem2Keys1} = lists:foldl(fun(X, {Count, Left, Right}) ->
case Count rem 2 == 0 of
true-> {Count+1, [X | Left], Right};
false -> {Count+1, Left, [X | Right]}
end
end, {0, [], []}, KeyValues),
etap:ok(test_add_remove(Btree6, Rem2Keys0, Rem2Keys1),
"Add/Remove every other key."),
etap:ok(test_add_remove(Btree6, Rem2Keys1, Rem2Keys0),
"Add/Remove opposite every other key."),
Size1 = couch_btree:size(Btree6),
{ok, Btree7} = couch_btree:add_remove(Btree6, [], [K||{K,_}<-Rem2Keys1]),
Size2 = couch_btree:size(Btree7),
etap:is((Size2 < Size1), true, "Btree size decreased"),
{ok, Btree8} = couch_btree:add_remove(Btree7, [], [K||{K,_}<-Rem2Keys0]),
Size3 = couch_btree:size(Btree8),
etap:is((Size3 < Size2), true, "Btree size decreased"),
etap:is(Size3, 0, "Empty btree has size 0."),
etap:ok(test_btree(Btree8, []),
"Removing both halves of every other key returns an empty btree."),
%% Third chunk (close out)
etap:is(couch_file:close(Fd), ok, "closing out"),
true.
test_btree(Btree, KeyValues) ->
ok = test_key_access(Btree, KeyValues),
ok = test_lookup_access(Btree, KeyValues),
ok = test_final_reductions(Btree, KeyValues),
ok = test_traversal_callbacks(Btree, KeyValues),
true.
test_add_remove(Btree, OutKeyValues, RemainingKeyValues) ->
Btree2 = lists:foldl(fun({K, _}, BtAcc) ->
{ok, BtAcc2} = couch_btree:add_remove(BtAcc, [], [K]),
BtAcc2
end, Btree, OutKeyValues),
true = test_btree(Btree2, RemainingKeyValues),
Btree3 = lists:foldl(fun(KV, BtAcc) ->
{ok, BtAcc2} = couch_btree:add_remove(BtAcc, [KV], []),
BtAcc2
end, Btree2, OutKeyValues),
true = test_btree(Btree3, OutKeyValues ++ RemainingKeyValues).
test_key_access(Btree, List) ->
FoldFun = fun(Element, {[HAcc|TAcc], Count}) ->
case Element == HAcc of
true -> {ok, {TAcc, Count + 1}};
_ -> {ok, {TAcc, Count + 1}}
end
end,
Length = length(List),
Sorted = lists:sort(List),
{ok, _, {[], Length}} = couch_btree:foldl(Btree, FoldFun, {Sorted, 0}),
{ok, _, {[], Length}} = couch_btree:fold(Btree, FoldFun, {Sorted, 0}, [{dir, rev}]),
ok.
test_lookup_access(Btree, KeyValues) ->
FoldFun = fun({Key, Value}, {Key, Value}) -> {stop, true} end,
lists:foreach(fun({Key, Value}) ->
[{ok, {Key, Value}}] = couch_btree:lookup(Btree, [Key]),
{ok, _, true} = couch_btree:foldl(Btree, FoldFun, {Key, Value}, [{start_key, Key}])
end, KeyValues).
test_final_reductions(Btree, KeyValues) ->
KVLen = length(KeyValues),
FoldLFun = fun(_X, LeadingReds, Acc) ->
CountToStart = KVLen div 3 + Acc,
CountToStart = couch_btree:final_reduce(Btree, LeadingReds),
{ok, Acc+1}
end,
FoldRFun = fun(_X, LeadingReds, Acc) ->
CountToEnd = KVLen - KVLen div 3 + Acc,
CountToEnd = couch_btree:final_reduce(Btree, LeadingReds),
{ok, Acc+1}
end,
{LStartKey, _} = case KVLen of
0 -> {nil, nil};
_ -> lists:nth(KVLen div 3 + 1, lists:sort(KeyValues))
end,
{RStartKey, _} = case KVLen of
0 -> {nil, nil};
_ -> lists:nth(KVLen div 3, lists:sort(KeyValues))
end,
{ok, _, FoldLRed} = couch_btree:foldl(Btree, FoldLFun, 0, [{start_key, LStartKey}]),
{ok, _, FoldRRed} = couch_btree:fold(Btree, FoldRFun, 0, [{dir, rev}, {start_key, RStartKey}]),
KVLen = FoldLRed + FoldRRed,
ok.
test_traversal_callbacks(Btree, _KeyValues) ->
FoldFun =
fun
(visit, _GroupedKey, _Unreduced, Acc) ->
{ok, Acc andalso false};
(traverse, _LK, _Red, Acc) ->
{skip, Acc andalso true}
end,
% With 250 items the root is a kp. Always skipping should reduce to true.
{ok, _, true} = couch_btree:fold(Btree, FoldFun, true, [{dir, fwd}]),
ok.
shuffle(List) ->
randomize(round(math:log(length(List)) + 0.5), List).
randomize(1, List) ->
randomize(List);
randomize(T, List) ->
lists:foldl(fun(_E, Acc) ->
randomize(Acc)
end, randomize(List), lists:seq(1, (T - 1))).
randomize(List) ->
D = lists:map(fun(A) ->
{random:uniform(), A}
end, List),
{_, D1} = lists:unzip(lists:keysort(1, D)),
D1.