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[enhancement](test) add brown cases to p2 (#12694)

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Yongqiang YANG
2022-09-25 23:46:45 +08:00
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parent 60556070bb
commit 7f2ea35b63
34 changed files with 1168 additions and 0 deletions
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regression-test/data/brown_p2/sql/CPUNetworkUtilization_order.out Normal file
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-- This file is automatically generated. You should know what you did if you want to edit this
-- !CPUNetworkUtilization_order --
anansi 0 22.499999744 0.142686086 938.95000064 2355335.637499904 9177.160292675 216.88000512 2354536.236711936 13467.316295748
aragog 0 31.139999744 0.466084818 1318.689964032 27836488.351744 328922.023920031 308.950007808 40642403.643686912 825490.561812005
urd 0 23.493332992 1.499065356 1168.349986816 368025.614155776 22100.285069203 220.950003712 108069.656723456 8129.441452354

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regression-test/data/brown_p2/sql/averageMetrics.out Normal file
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-- This file is automatically generated. You should know what you did if you want to edit this
-- !averageMetrics --
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13
regression-test/data/brown_p2/sql/blockedIOServer.out Normal file
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-- This file is automatically generated. You should know what you did if you want to edit this
-- !blockedIOServer --
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4
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-- This file is automatically generated. You should know what you did if you want to edit this
-- !dataTransferRate --
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23
regression-test/data/brown_p2/sql/doorOpen.out Normal file
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-- This file is automatically generated. You should know what you did if you want to edit this
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stairs_north_1 1 9874
balcony_5 5 5284
stairs_east_left_2 2 4646
stairs_north_4 4 4086
lobby_left_2 2 4029
stairs_east_right_2 2 3140
lobby_right_2 2 3108
lobby_left_1 1 2944
stairs_north_5 5 1731
lobby_right_1 1 1641
stairs_east_5 5 1637
balcony_3 3 1619
stairs_east_4 4 1093

11
regression-test/data/brown_p2/sql/excessiveRequests.out Normal file
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@ -0,0 +1,11 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !excessiveRequests --
219.63.173.93 1540391
229.50.247.232 743801
97.211.80.244 733261
152.149.228.251 492221
198.156.249.133 370834
70.86.124.37 273057
67.153.111.239 167287
249.92.17.134 112909

13
regression-test/data/brown_p2/sql/hourlyNetworkTraffic.out Normal file
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@ -0,0 +1,13 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !hourlyNetworkTraffic --
2017-01-10 17 87.94858538 71.385253825 159.333839205
2017-01-10 18 89.649306783 69.156060259 158.805367042
2017-01-10 19 73.60724926 81.407222077 155.014471337
2017-01-10 20 68.547946313 85.506676673 154.054622986
2017-01-11 13 42.000689907 69.613847012 111.614536919
2017-01-10 16 52.184352597 56.948349728 109.132702325
2017-01-10 15 58.921870661 47.700976292 106.622846953
2017-01-10 14 60.98027363 44.44881962 105.42909325
2017-01-10 21 45.797732305 54.048210813 99.845943118
2017-01-11 4 48.962175923 48.376258854 97.338434777

19
regression-test/data/brown_p2/sql/lowMemory.out Normal file
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@ -0,0 +1,19 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !lowMemory --
chimera 2016-11-04 6135.48
chimera 2016-11-26 6045.8667
chimera 2016-11-27 9374.526
chimera 2016-11-30 6933.56
chimera 2016-12-01 6535.8135
chimera 2016-12-02 6393.74
chimera 2016-12-11 8010.5
chimera 2016-12-30 8167.6665
chimera 2016-12-31 6324.6665
chimera 2017-01-01 5972.0
chimera 2017-01-03 5948.0
chimera 2017-01-04 7320.0
chimera 2017-01-05 8144.0
chimera 2017-01-07 6308.467
chimera 2017-01-09 9370.0
chimera 2017-01-10 7147.467

21
regression-test/data/brown_p2/sql/offlineMachine.out Normal file
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@ -0,0 +1,21 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !offlineMachine --
cslab9e 2017-01-10T14:14:15
cslab9e 2017-01-10T14:14:30
cslab9e 2017-01-10T14:14:45
cslab9e 2017-01-10T14:15:15
cslab9e 2017-01-10T14:15:30
cslab9e 2017-01-10T14:15:45
cslab9e 2017-01-10T14:16:15
cslab9e 2017-01-10T14:16:30
cslab9e 2017-01-10T14:16:45
cslab9e 2017-01-10T14:17:15
cslab9e 2017-01-10T14:17:30
cslab9e 2017-01-10T14:17:45
cslab9e 2017-01-10T14:18:15
cslab9e 2017-01-10T14:18:30
cslab9e 2017-01-10T14:18:45
cslab9e 2017-01-10T14:19:15
cslab9e 2017-01-10T14:19:30
cslab9e 2017-01-10T14:19:45

5
regression-test/data/brown_p2/sql/passwordLeaked.out Normal file
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@ -0,0 +1,5 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !passwordLeaked --
2012-05-09T14:46:58 201.183.185.11 /?-nd+auto_prepend_file%3D/etc/passwd 200 21173
2012-05-13T20:17:05 201.183.185.11 /?-nd+auto_prepend_file%3D/etc/passwd 200 21809

31
regression-test/data/brown_p2/sql/powerConsumptionMetrics.out Normal file
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@ -0,0 +1,31 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !powerConsumptionMetrics --
2017 9 721638.3414064787 1252.844342719581 65268.73919188455 113.31378331924401 174895.7715174624 330.6158251747871 176421.94104524452 388.59458380009806
2017 10 702508.0664338227 1256.7228379853716 66960.70685831291 120.0012667711701 131314.92843738294 270.75242976779987 212072.4254061825 379.3782207624016
2017 11 903660.5956517102 1258.5802167851116 79376.14433888887 110.55173306251932 178488.04901201383 304.0682265962757 257457.2271247641 358.575525243404
2017 12 931357.6830229171 1251.824842772738 76585.03687197335 102.93687751609322 112836.92815090143 198.6565636459532 241257.5071419921 324.27084293278506
2018 1 800695.0232504867 1268.9303062606762 52913.86179851603 83.85715023536613 36392.480584571706 83.46899216644887 191628.70119383492 303.69049317564964
2018 2 788872.0573169803 1188.060327284609 85621.32358955592 128.94777649029507 83922.79400835952 176.67956633338846 230227.25133465914 346.72778815460714
2018 3 896816.2190436656 1205.3981438758947 88325.94803945153 118.71767209603699 114322.79839365481 193.7674549044997 269070.60609120084 361.6540404451624
2018 4 581954.6102904761 1199.906412970054 55146.13846078817 113.70337826966633 107909.63419773092 260.6512903326834 172977.56835847028 356.6547801205573
2018 5 810269.3225697614 1246.5681885688637 69687.035837944 107.2108243660677 83644.78159173671 143.47303875083483 248284.77976738196 381.9765842575107
2018 6 824150.0588949085 1252.5076882901346 52047.1187370029 79.09896464590106 61491.795137032634 113.24455826341185 242561.98528653942 368.6352359977803
2018 7 920527.3411698388 1237.2679316798908 54001.805264369934 72.58307159189508 110136.29401019627 175.65597130812802 284977.68054289324 383.0345168587275
2018 8 934028.550349473 1255.4147182116574 56534.79015953162 75.98762118216615 18440.748190359896 37.25403674820181 281409.03078009834 378.2379445969064
2018 9 796294.7250120316 1201.0478506968802 59750.627903558845 90.12161071426674 123357.51466599095 219.10748608524148 251368.5907741444 379.1381459640187
2018 10 876930.3483784574 1178.6698230893244 68192.5478930525 91.65665039388777 161682.95582566154 259.9404434496166 285017.3815606403 383.0878784417208
2018 11 220190.80577936105 1177.4909399965832 17258.73825754189 92.29271795476946 31282.50405975023 215.74140730862229 74832.72439675414 400.1749967740863
2018 12 600604.6369429263 1213.3427008948006 40572.28465858767 81.96421143149024 45621.90108822518 103.21697078783978 174784.206063148 353.0994061881778
2019 1 875861.8015196377 1177.2336041930614 62356.90803397391 83.81304843276062 38427.20028916451 68.37580122627136 266395.02450662036 358.0578286379306
2019 2 766839.5051314121 1141.1302159693632 58769.955270648505 87.45529058132217 98888.76720553763 174.40699683516337 263572.6687568533 392.22123326912697
2019 3 875531.8723175363 1176.7901509644305 64134.01856961813 86.20163786238996 137670.7954831731 220.9804100853501 307147.8785608933 412.83317010872753
2019 4 882405.7822994066 1225.5635865269537 62498.886241078144 86.80400866816409 118655.91830720665 190.76514197300105 310192.1270515335 430.8223986826854
2019 5 915804.9453381407 1230.9206254544902 62733.50787805465 84.31923101889065 51908.47672565358 92.36383759013093 333347.078499299 448.04714852056316
2019 6 743714.4735556258 1264.820533257867 47914.37351050589 81.48702977977192 33701.157666174215 99.12105195933593 258663.94354479376 439.9046658925064
2019 7 936697.9580959906 1259.0026318494497 60426.11789318785 81.2179003940697 10876.808554053554 30.213357094593206 322797.2259733417 433.86723921148075
2019 8 930640.7550409792 1250.8612298937894 60639.08568100215 81.50414742070181 13063.088331067775 44.58391921866134 336075.4530245256 451.7143185813516
2019 9 862784.4318728526 1198.3117109345176 63348.64890275067 87.98423458715371 56973.39566326607 126.32681965247465 322162.8453100057 447.4483962638968
2019 10 900170.2429565527 1209.906240533001 64953.12136266855 87.30258247670504 98168.02805722516 218.63703353502265 310577.09491537133 417.4423318754991
2019 11 881836.9061517069 1224.7734807662596 61941.828695957716 86.0303176332746 181716.37704881508 294.99411858573876 258322.18736711278 358.78081578765665
2019 12 45118.354529795746 1253.2876258276597 2884.8668441554064 80.13519011542796 13576.481448950075 377.12448469305764 12249.124855753847 340.25346821538466

5
regression-test/data/brown_p2/sql/serverError.out Normal file
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@ -0,0 +1,5 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !serverError --
2012-12-21T16:58 229.50.247.232 //cgi-bin/feedback/ 500 410
2012-12-23T23:28:02 229.50.247.232 //cgi-bin/feedback/ 500 410

5
regression-test/data/brown_p2/sql/temperatureReachFreezing.out Normal file
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@ -0,0 +1,5 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !temperatureReachFreezing --
2019-12-01T09:30:13 temperature 16C448031108ABA balcony_5 door 5 F 32.0
2019-12-01T09:59:58 temperature 16C448031108ABA balcony_5 door 5 F 32.0

14
regression-test/data/brown_p2/sql/temperatureVariation_order.out Normal file
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@ -0,0 +1,14 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !temperatureVariation_order --
balcony_3 door 3 SUMMER
balcony_3 door 3 WINTER
balcony_5 door 5 SUMMER
balcony_5 door 5 WINTER
front_center_1 door 1 SUMMER
front_center_1 door 1 WINTER
front_left_1 door 1 SUMMER
front_left_1 door 1 WINTER
front_right_1 door 1 SUMMER
front_right_1 door 1 WINTER
loading_dock_1 door 1 WINTER

27
regression-test/suites/brown_p2/ddl/logs1.sql Normal file
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@ -0,0 +1,27 @@
CREATE TABLE IF NOT EXISTS logs1 (
`log_time` DATETIME NOT NULL,
`machine_name` VARCHAR(128) NOT NULL,
`machine_group` VARCHAR(128) NOT NULL,
`cpu_idle` FLOAT,
`cpu_nice` FLOAT,
`cpu_system` FLOAT,
`cpu_user` FLOAT,
`cpu_wio` FLOAT,
`disk_free` FLOAT,
`disk_total` FLOAT,
`part_max_used` FLOAT,
`load_fifteen` FLOAT,
`load_five` FLOAT,
`load_one` FLOAT,
`mem_buffers` FLOAT,
`mem_cached` FLOAT,
`mem_free` FLOAT,
`mem_shared` FLOAT,
`swap_free` FLOAT,
`bytes_in` FLOAT,
`bytes_out` FLOAT
)
ENGINE = olap
DUPLICATE KEY( `log_time`, `machine_name`, `machine_group`)
DISTRIBUTED BY HASH(machine_name) BUCKETS 10
PROPERTIES("replication_num" = "1");

11
regression-test/suites/brown_p2/ddl/logs2.sql Normal file
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@ -0,0 +1,11 @@
CREATE TABLE IF NOT EXISTS logs2 (
`log_time` DATETIME NOT NULL,
`client_ip` VARCHAR(128),
`request` STRING,
`status_code` SMALLINT,
`object_size` BIGINT
)
ENGINE = olap
DUPLICATE KEY(`log_time`)
DISTRIBUTED BY HASH(client_ip) BUCKETS 10
PROPERTIES("replication_num" = "1");

14
regression-test/suites/brown_p2/ddl/logs3.sql Normal file
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@ -0,0 +1,14 @@
CREATE TABLE IF NOT EXISTS logs3 (
`log_time` DATETIME NOT NULL,
`event_type` VARCHAR(128),
`device_id` CHAR(15),
`device_name` STRING,
`device_type` STRING,
`device_floor` TINYINT,
`event_unit` CHAR(1),
`event_value` FLOAT
)
ENGINE = olap
DUPLICATE KEY(`log_time`, `event_type`)
DISTRIBUTED BY HASH(device_id) BUCKETS 10
PROPERTIES("replication_num" = "1");

76
regression-test/suites/brown_p2/load.groovy Normal file
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@ -0,0 +1,76 @@
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// 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.
// The cases is copied from https://github.com/trinodb/trino/tree/master
// /testing/trino-product-tests/src/main/resources/sql-tests/testcases/tpcds
// and modified by Doris.
suite("load") {
def tables = ["logs1","logs2","logs3"]
def columnsMap = [
"logs1":"log_time,machine_name,machine_group,cpu_idle,cpu_nice,cpu_system,cpu_user,cpu_wio,disk_free,disk_total,part_max_used,load_fifteen,load_five,load_one,mem_buffers,mem_cached,mem_free,mem_shared,swap_free,bytes_in,bytes_out",
"logs2":"log_time,client_ip,request,status_code,object_size",
"logs3":"log_time,device_id,device_name,device_type,device_floor,event_type,event_unit,event_value"
]
for (String table in tables) {
sql """ DROP TABLE IF EXISTS $table """
}
for (String table in tables) {
sql new File("""${context.file.parent}/ddl/${table}.sql""").text
}
for (String tableName in tables) {
streamLoad {
// you can skip declare db, because a default db already specify in ${DORIS_HOME}/conf/regression-conf.groovy
// db 'regression_test'
table tableName
// default label is UUID:
// set 'label' UUID.randomUUID().toString()
// default column_separator is specify in doris fe config, usually is '\t'.
// this line change to ','
set 'column_separator', ','
set 'compress_type', 'GZ'
set "columns", columnsMap[tableName]
set 'timeout', '72000'
// relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv.
// also, you can stream load a http stream, e.g. http://xxx/some.csv
file """${getS3Url() + '/regression/clickhouse/brown/' + tableName}.gz"""
time 0
// stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows
// if declared a check callback, the default check condition will ignore.
// So you must check all condition
check { result, exception, startTime, endTime ->
if (exception != null) {
throw exception
}
log.info("Stream load result: ${result}".toString())
def json = parseJson(result)
assertEquals("success", json.Status.toLowerCase())
assertEquals(json.NumberTotalRows, json.NumberLoadedRows)
assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0)
}
}
}
}

20
regression-test/suites/brown_p2/sql/CPUNetworkUtilization_order.sql Normal file
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@ -0,0 +1,20 @@
SELECT machine_name,
MIN(cpu) AS cpu_min,
MAX(cpu) AS cpu_max,
AVG(cpu) AS cpu_avg,
MIN(net_in) AS net_in_min,
MAX(net_in) AS net_in_max,
AVG(net_in) AS net_in_avg,
MIN(net_out) AS net_out_min,
MAX(net_out) AS net_out_max,
AVG(net_out) AS net_out_avg
FROM (
SELECT machine_name,
COALESCE(cpu_user, 0.0) AS cpu,
COALESCE(bytes_in, 0.0) AS net_in,
COALESCE(bytes_out, 0.0) AS net_out
FROM logs1
WHERE machine_name IN ('anansi','aragog','urd')
AND log_time >= TIMESTAMP '2017-01-11 00:00:00'
) AS r
GROUP BY machine_name;

28
regression-test/suites/brown_p2/sql/averageMetrics.sql Normal file
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@ -0,0 +1,28 @@
SELECT dt,
hr,
AVG(load_fifteen) AS load_fifteen_avg,
AVG(load_five) AS load_five_avg,
AVG(load_one) AS load_one_avg,
AVG(mem_free) AS mem_free_avg,
AVG(swap_free) AS swap_free_avg
FROM (
SELECT CAST(log_time AS DATE) AS dt,
EXTRACT(HOUR FROM log_time) AS hr,
load_fifteen,
load_five,
load_one,
mem_free,
swap_free
FROM logs1
WHERE machine_name = 'babbage'
AND load_fifteen IS NOT NULL
AND load_five IS NOT NULL
AND load_one IS NOT NULL
AND mem_free IS NOT NULL
AND swap_free IS NOT NULL
AND log_time >= TIMESTAMP '2017-01-01 00:00:00'
) AS r
GROUP BY dt,
hr
ORDER BY dt,
hr;

10
regression-test/suites/brown_p2/sql/blockedIOServer.sql Normal file
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@ -0,0 +1,10 @@
SELECT machine_name,
COUNT(*) AS spikes
FROM logs1
WHERE machine_group = 'Servers'
AND cpu_wio > 0.99
AND log_time >= TIMESTAMP '2016-12-01 00:00:00'
AND log_time < TIMESTAMP '2017-01-01 00:00:00'
GROUP BY machine_name
ORDER BY spikes DESC
LIMIT 10;

9
regression-test/suites/brown_p2/sql/dailyUV.sql Normal file
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@ -0,0 +1,9 @@
SELECT dt,
COUNT(DISTINCT client_ip)
FROM (
SELECT CAST(log_time AS DATE) AS dt,
client_ip
FROM logs2
) AS r
GROUP BY dt
ORDER BY dt;

8
regression-test/suites/brown_p2/sql/dataTransferRate.sql Normal file
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@ -0,0 +1,8 @@
SELECT AVG(transfer) / 125000000.0 AS transfer_avg,
MAX(transfer) / 125000000.0 AS transfer_max
FROM (
SELECT log_time,
SUM(object_size) AS transfer
FROM logs2
GROUP BY log_time
) AS r;

9
regression-test/suites/brown_p2/sql/doorOpen.sql Normal file
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@ -0,0 +1,9 @@
SELECT device_name,
device_floor,
COUNT(*) AS ct
FROM logs3
WHERE event_type = 'door_open'
AND log_time >= '2019-06-01 00:00:00.000'
GROUP BY device_name,
device_floor
ORDER BY ct DESC;

7
regression-test/suites/brown_p2/sql/excessiveRequests.sql Normal file
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@ -0,0 +1,7 @@
SELECT client_ip,
COUNT(*) AS num_requests
FROM logs2
WHERE log_time >= TIMESTAMP '2012-10-01 00:00:00'
GROUP BY client_ip
HAVING COUNT(*) >= 100000
ORDER BY num_requests DESC;

21
regression-test/suites/brown_p2/sql/hourlyNetworkTraffic.sql Normal file
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@ -0,0 +1,21 @@
SELECT dt,
hr,
SUM(net_in) AS net_in_sum,
SUM(net_out) AS net_out_sum,
SUM(net_in) + SUM(net_out) AS both_sum
FROM (
SELECT CAST(log_time AS DATE) AS dt,
EXTRACT(HOUR FROM log_time) AS hr,
COALESCE(bytes_in, 0.0) / 1000000000.0 AS net_in,
COALESCE(bytes_out, 0.0) / 1000000000.0 AS net_out
FROM logs1
WHERE machine_name IN ('allsorts','andes','bigred','blackjack','bonbon',
'cadbury','chiclets','cotton','crows','dove','fireball','hearts','huey',
'lindt','milkduds','milkyway','mnm','necco','nerds','orbit','peeps',
'poprocks','razzles','runts','smarties','smuggler','spree','stride',
'tootsie','trident','wrigley','york')
) AS r
GROUP BY dt,
hr
ORDER BY both_sum DESC
LIMIT 10;

16
regression-test/suites/brown_p2/sql/lowMemory.sql Normal file
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@ -0,0 +1,16 @@
SELECT machine_name,
dt,
MIN(mem_free) AS mem_free_min
FROM (
SELECT machine_name,
CAST(log_time AS DATE) AS dt,
mem_free
FROM logs1
WHERE machine_group = 'DMZ'
AND mem_free IS NOT NULL
) AS r
GROUP BY machine_name,
dt
HAVING MIN(mem_free) < 10000
ORDER BY machine_name,
dt;

9
regression-test/suites/brown_p2/sql/offlineMachine.sql Normal file
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@ -0,0 +1,9 @@
SELECT machine_name,
log_time
FROM logs1
WHERE (machine_name LIKE 'cslab%' OR
machine_name LIKE 'mslab%')
AND load_one IS NULL
AND log_time >= TIMESTAMP '2017-01-10 00:00:00'
ORDER BY machine_name,
log_time;

7
regression-test/suites/brown_p2/sql/passwordLeaked.sql Normal file
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@ -0,0 +1,7 @@
SELECT *
FROM logs2
WHERE status_code >= 200
AND status_code < 300
AND request LIKE '%/etc/passwd%'
AND log_time >= TIMESTAMP '2012-05-06 00:00:00'
AND log_time < TIMESTAMP '2012-05-20 00:00:00';

40
regression-test/suites/brown_p2/sql/powerConsumptionMetrics.sql Normal file
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@ -0,0 +1,40 @@
SELECT yr,
mo,
SUM(coffee_hourly_avg) AS coffee_monthly_sum,
AVG(coffee_hourly_avg) AS coffee_monthly_avg,
SUM(printer_hourly_avg) AS printer_monthly_sum,
AVG(printer_hourly_avg) AS printer_monthly_avg,
SUM(projector_hourly_avg) AS projector_monthly_sum,
AVG(projector_hourly_avg) AS projector_monthly_avg,
SUM(vending_hourly_avg) AS vending_monthly_sum,
AVG(vending_hourly_avg) AS vending_monthly_avg
FROM (
SELECT dt,
yr,
mo,
hr,
AVG(coffee) AS coffee_hourly_avg,
AVG(printer) AS printer_hourly_avg,
AVG(projector) AS projector_hourly_avg,
AVG(vending) AS vending_hourly_avg
FROM (
SELECT CAST(log_time AS DATE) AS dt,
EXTRACT(YEAR FROM log_time) AS yr,
EXTRACT(MONTH FROM log_time) AS mo,
EXTRACT(HOUR FROM log_time) AS hr,
CASE WHEN device_name LIKE 'coffee%' THEN event_value END AS coffee,
CASE WHEN device_name LIKE 'printer%' THEN event_value END AS printer,
CASE WHEN device_name LIKE 'projector%' THEN event_value END AS projector,
CASE WHEN device_name LIKE 'vending%' THEN event_value END AS vending
FROM logs3
WHERE device_type = 'meter'
) AS r
GROUP BY dt,
yr,
mo,
hr
) AS s
GROUP BY yr,
mo
ORDER BY yr,
mo;

5
regression-test/suites/brown_p2/sql/serverError.sql Normal file
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@ -0,0 +1,5 @@
SELECT *
FROM logs2
WHERE status_code >= 500
AND log_time >= TIMESTAMP '2012-12-18 00:00:00'
ORDER BY log_time;

5
regression-test/suites/brown_p2/sql/temperatureReachFreezing.sql Normal file
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@ -0,0 +1,5 @@
SELECT *
FROM logs3
WHERE event_type = 'temperature'
AND event_value <= 32.0
AND log_time >= '2019-11-29 17:00:00.000';

49
regression-test/suites/brown_p2/sql/temperatureVariation_order.sql Normal file
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WITH temperature AS (
SELECT dt,
device_name,
device_type,
device_floor
FROM (
SELECT dt,
hr,
device_name,
device_type,
device_floor,
AVG(event_value) AS temperature_hourly_avg
FROM (
SELECT CAST(log_time AS DATE) AS dt,
EXTRACT(HOUR FROM log_time) AS hr,
device_name,
device_type,
device_floor,
event_value
FROM logs3
WHERE event_type = 'temperature'
) AS r
GROUP BY dt,
hr,
device_name,
device_type,
device_floor
) AS s
GROUP BY dt,
device_name,
device_type,
device_floor
HAVING MAX(temperature_hourly_avg) - MIN(temperature_hourly_avg) >= 25.0
)
SELECT DISTINCT device_name,
device_type,
device_floor,
'WINTER'
FROM temperature
WHERE dt >= DATE '2018-12-01'
AND dt < DATE '2019-03-01'
UNION
SELECT DISTINCT device_name,
device_type,
device_floor,
'SUMMER'
FROM temperature
WHERE dt >= DATE '2019-06-01'
AND dt < DATE '2019-09-01';