quanta spanning select test

tests/timeseries_util.erl

@@ -149,6 +149,23 @@ get_valid_select_data() ->
     Times = lists:seq(1, 10),
     [[Family, Series, X, get_varchar(), get_float()] || X <- Times].     
 
+
+-define(SPANNING_STEP, (1000*1000*60*5)).
+
+get_valid_qry_spanning_quanta() ->
+    EndTime = ?SPANNING_STEP * 10,
+    lists:flatten(
+      io_lib:format("select * from GeoCheckin Where time > 1 and time < ~b"
+                    " and myfamily = 'family1' and myseries = 'seriesX'",
+                    [EndTime])).
+
+get_valid_select_data_spanning_quanta() ->
+    Family = <<"family1">>,
+    Series = <<"seriesX">>,
+    Times = lists:seq(1, ?SPANNING_STEP * 10, ?SPANNING_STEP),  %% five-minute intervals, to span 15-min buckets
+    [[Family, Series, X, get_varchar(), get_float()] || X <- Times].
+
+
 get_cols(docs) ->
     [<<"myfamily">>,
      <<"myseries">>,

tests/ts_A_select_pass_2.erl

@@ -0,0 +1,36 @@
+%% -------------------------------------------------------------------
+%%
+%% Copyright (c) 2015 Basho Technologies, Inc.
+%%
+%% This file is provided to you 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.
+%%
+%% -------------------------------------------------------------------
+%% @doc A module to test riak_ts basic create bucket/put/select cycle,
+%%      spanning time quanta.
+
+-module(ts_A_select_pass_2).
+
+-behavior(riak_test).
+
+-export([confirm/0]).
+
+confirm() ->
+    DDL  = timeseries_util:get_ddl(docs),
+    Data = timeseries_util:get_valid_select_data_spanning_quanta(),
+    Qry  = timeseries_util:get_valid_qry_spanning_quanta(),
+    Expected = {
+        timeseries_util:get_cols(docs),
+        timeseries_util:exclusive_result_from_data(Data, 1, 9)},
+    timeseries_util:confirm_select(single, normal, DDL, Data, Qry, Expected).