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WIP test: add drilldowns[LABEL].columns[NAME].stage test case without…
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… cache

When the value of --drilldowns[LABEL].columns[NAME].stage parameter is
changed, Groonga returns result without using cache.
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kenhys committed Apr 24, 2017
1 parent 68d9b2e commit f3fce63
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@@ -0,0 +1,162 @@
plugin_register sharding
[[0,0.0,0.0],true]
table_create Items TABLE_HASH_KEY ShortText
[[0,0.0,0.0],true]
column_create Items price COLUMN_SCALAR UInt32
[[0,0.0,0.0],true]
table_create Logs_20170315 TABLE_NO_KEY
[[0,0.0,0.0],true]
column_create Logs_20170315 timestamp COLUMN_SCALAR Time
[[0,0.0,0.0],true]
column_create Logs_20170315 items COLUMN_VECTOR Items
[[0,0.0,0.0],true]
table_create Logs_20170316 TABLE_NO_KEY
[[0,0.0,0.0],true]
column_create Logs_20170316 timestamp COLUMN_SCALAR Time
[[0,0.0,0.0],true]
column_create Logs_20170316 items COLUMN_VECTOR Items
[[0,0.0,0.0],true]
table_create Logs_20170317 TABLE_NO_KEY
[[0,0.0,0.0],true]
column_create Logs_20170317 timestamp COLUMN_SCALAR Time
[[0,0.0,0.0],true]
column_create Logs_20170317 items COLUMN_VECTOR Items
[[0,0.0,0.0],true]
load --table Items
[
{"_key": "Book", "price": 1000},
{"_key": "Note", "price": 1000},
{"_key": "Box", "price": 500},
{"_key": "Pen", "price": 500},
{"_key": "Food", "price": 500},
{"_key": "Drink", "price": 300}
]
[[0,0.0,0.0],6]
load --table Logs_20170315
[
{"timestamp": "2017/03/15 00:00:00", "items": ["Book", "Note", "Box", "Pen"]},
{"timestamp": "2017/03/15 01:00:00", "items": ["Food", "Drink", "Pen"]}
]
[[0,0.0,0.0],2]
load --table Logs_20170316
[
{"timestamp": "2017/03/16 10:00:00", "items": ["Pen", "Note", "Food", "Drink"]},
{"timestamp": "2017/03/16 11:00:00", "items": ["Note", "Box"]}
]
[[0,0.0,0.0],2]
load --table Logs_20170317
[
{"timestamp": "2017/03/17 20:00:00", "items": ["Food", "Book"]},
{"timestamp": "2017/03/17 20:00:00", "items": ["Drink", "Note"]}
]
[[0,0.0,0.0],2]
logical_select Logs --shard_key timestamp --limit 0 --drilldowns[item].keys items --drilldowns[item].sort_keys price --drilldowns[item].columns[content].stage initial --drilldowns[item].columns[content].type ShortText --drilldowns[item].columns[content].flags COLUMN_SCALAR --drilldowns[item].columns[content].value 'highlight_html(_key)' --match_columns items --output_columns content --query "Book"
[
[
0,
0.0,
0.0
],
[
[
[
2
],
[

]
],
{
"item": [
[
5
],
[
[
"_key",
"ShortText"
],
[
"_nsubrecs",
"Int32"
]
],
[
"Box",
1
],
[
"Pen",
1
],
[
"Food",
1
],
[
"Book",
2
],
[
"Note",
1
]
]
}
]
]
logical_select Logs --shard_key timestamp --limit 0 --drilldowns[item].keys items --drilldowns[item].sort_keys price --drilldowns[item].columns[content].stage filtered --drilldowns[item].columns[content].type ShortText --drilldowns[item].columns[content].flags COLUMN_SCALAR --drilldowns[item].columns[content].value 'highlight_html(_key)' --match_columns items --output_columns content --query "Book"
[
[
0,
0.0,
0.0
],
[
[
[
2
],
[

]
],
{
"item": [
[
5
],
[
[
"_key",
"ShortText"
],
[
"_nsubrecs",
"Int32"
]
],
[
"Box",
1
],
[
"Pen",
1
],
[
"Food",
1
],
[
"Book",
2
],
[
"Note",
1
]
]
}
]
]
@@ -0,0 +1,72 @@
#@on-error omit
plugin_register sharding
#@on-error default

table_create Items TABLE_HASH_KEY ShortText
column_create Items price COLUMN_SCALAR UInt32

table_create Logs_20170315 TABLE_NO_KEY
column_create Logs_20170315 timestamp COLUMN_SCALAR Time
column_create Logs_20170315 items COLUMN_VECTOR Items

table_create Logs_20170316 TABLE_NO_KEY
column_create Logs_20170316 timestamp COLUMN_SCALAR Time
column_create Logs_20170316 items COLUMN_VECTOR Items

table_create Logs_20170317 TABLE_NO_KEY
column_create Logs_20170317 timestamp COLUMN_SCALAR Time
column_create Logs_20170317 items COLUMN_VECTOR Items

load --table Items
[
{"_key": "Book", "price": 1000},
{"_key": "Note", "price": 1000},
{"_key": "Box", "price": 500},
{"_key": "Pen", "price": 500},
{"_key": "Food", "price": 500},
{"_key": "Drink", "price": 300}
]

load --table Logs_20170315
[
{"timestamp": "2017/03/15 00:00:00", "items": ["Book", "Note", "Box", "Pen"]},
{"timestamp": "2017/03/15 01:00:00", "items": ["Food", "Drink", "Pen"]}
]

load --table Logs_20170316
[
{"timestamp": "2017/03/16 10:00:00", "items": ["Pen", "Note", "Food", "Drink"]},
{"timestamp": "2017/03/16 11:00:00", "items": ["Note", "Box"]}
]

load --table Logs_20170317
[
{"timestamp": "2017/03/17 20:00:00", "items": ["Food", "Book"]},
{"timestamp": "2017/03/17 20:00:00", "items": ["Drink", "Note"]}
]

logical_select Logs \
--shard_key timestamp \
--limit 0 \
--drilldowns[item].keys items \
--drilldowns[item].sort_keys price \
--drilldowns[item].columns[content].stage initial \
--drilldowns[item].columns[content].type ShortText \
--drilldowns[item].columns[content].flags COLUMN_SCALAR \
--drilldowns[item].columns[content].value 'highlight_html(_key)' \
--match_columns items \
--output_columns content \
--query "Book"

logical_select Logs \
--shard_key timestamp \
--limit 0 \
--drilldowns[item].keys items \
--drilldowns[item].sort_keys price \
--drilldowns[item].columns[content].stage filtered \
--drilldowns[item].columns[content].type ShortText \
--drilldowns[item].columns[content].flags COLUMN_SCALAR \
--drilldowns[item].columns[content].value 'highlight_html(_key)' \
--match_columns items \
--output_columns content \
--query "Book"

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