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test: add no hit dynamic columns with drilldowns[LABEL].filter withou…
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…t error

This test case checks whether drilldowns[LABEL].filter with empty
records of dynamic columns (price_with_tax) in initial stage doesn't
cause an error.
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kenhys committed Apr 20, 2017
1 parent b46c205 commit f82748b
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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 --output_columns _id --min "2017/04/01 00:00:00" --columns[price_with_tax].stage initial --columns[price_with_tax].type UInt32 --columns[price_with_tax].flags COLUMN_SCALAR --columns[price_with_tax].value 'items.price * 1.08' --drilldowns[real_price].keys price_with_tax --drilldowns[real_price].filter "_nsubrecs > 1"
[
[
0,
0.0,
0.0
],
[
[
[
0
],
[
[
"_id",
"UInt32"
]
]
],
{
"real_price": [
[
0
],
[
[
"_key",
"UInt32"
],
[
"_nsubrecs",
"Int32"
]
]
]
}
]
]
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#@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 \
--output_columns _id \
--min "2017/04/01 00:00:00" \
--columns[price_with_tax].stage initial \
--columns[price_with_tax].type UInt32 \
--columns[price_with_tax].flags COLUMN_SCALAR \
--columns[price_with_tax].value 'items.price * 1.08' \
--drilldowns[real_price].keys price_with_tax \
--drilldowns[real_price].filter "_nsubrecs > 1"

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