mirror of
https://github.com/taosdata/TDengine
synced 2026-05-24 10:09:01 +00:00
673 lines
No EOL
27 KiB
Python
673 lines
No EOL
27 KiB
Python
import numpy as np
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import random
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from new_test_framework.utils import tdLog, tdSql
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class TestFunMax:
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updatecfgDict = {"maxTablesPerVnode":2 ,"minTablesPerVnode":2,"tableIncStepPerVnode":2 }
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#
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# ------------------ sim case ------------------
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#
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def do_sim_max(self):
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dbPrefix = "m_ma_db"
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tbPrefix = "m_ma_tb"
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mtPrefix = "m_ma_mt"
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tbNum = 10
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rowNum = 20
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totalNum = 200
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tdLog.info(f"=============== step1")
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i = 0
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db = dbPrefix + str(i)
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mt = mtPrefix + str(i)
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tdSql.prepare(db, drop=True)
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tdSql.execute(f"use {db}")
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tdSql.execute(f"create table {mt} (ts timestamp, tbcol int) TAGS(tgcol int)")
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i = 0
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while i < tbNum:
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tb = tbPrefix + str(i)
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tdSql.execute(f"create table {tb} using {mt} tags( {i} )")
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x = 0
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sql = f"insert into {tb} values"
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while x < rowNum:
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cc = x * 60000
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ms = 1601481600000 + cc
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sql += f" ({ms} , {x} )"
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x = x + 1
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i = i + 1
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tdSql.execute(sql)
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tdLog.info(f"=============== step2")
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i = 1
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tb = tbPrefix + str(i)
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tdSql.query(f"select max(tbcol) from {tb}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdLog.info(f"=============== step3")
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cc = 4 * 60000
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ms = 1601481600000 + cc
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tdSql.query(f"select max(tbcol) from {tb} where ts <= {ms}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 4)
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tdLog.info(f"=============== step4")
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tdSql.query(f"select max(tbcol) as b from {tb}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdLog.info(f"=============== step5")
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tdSql.query(f"select max(tbcol) as b from {tb} interval(1m)")
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tdLog.info(f"===> {tdSql.getData(1,0)}")
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tdSql.checkData(1, 0, 1)
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tdSql.query(f"select max(tbcol) as b from {tb} interval(1d)")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdLog.info(f"=============== step6")
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cc = 4 * 60000
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ms = 1601481600000 + cc
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tdSql.query(f"select max(tbcol) as b from {tb} where ts <= {ms} interval(1m)")
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tdLog.info(f"===> {tdSql.getData(1,0)}")
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tdSql.checkData(1, 0, 1)
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tdSql.checkRows(5)
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tdLog.info(f"=============== step7")
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tdSql.query(f"select max(tbcol) from {mt}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdLog.info(f"=============== step8")
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cc = 4 * 60000
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ms = 1601481600000 + cc
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tdSql.query(f"select max(tbcol) as c from {mt} where ts <= {ms}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 4)
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tdSql.query(f"select max(tbcol) as c from {mt} where tgcol < 5")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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cc = 4 * 60000
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ms = 1601481600000 + cc
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tdSql.query(f"select max(tbcol) as c from {mt} where tgcol < 5 and ts <= {ms}")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 4)
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tdLog.info(f"=============== step9")
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tdSql.query(f"select max(tbcol) as b from {mt} interval(1m)")
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tdLog.info(f"===> {tdSql.getData(1,0)}")
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tdSql.checkData(1, 0, 1)
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tdSql.query(f"select max(tbcol) as b from {mt} interval(1d)")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdLog.info(f"=============== step10")
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tdSql.query(f"select max(tbcol) as b from {mt} group by tgcol")
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tdLog.info(f"===> {tdSql.getData(0,0)}")
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tdSql.checkData(0, 0, 19)
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tdSql.checkRows(tbNum)
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tdLog.info(f"=============== step11")
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cc = 4 * 60000
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ms = 1601481600000 + cc
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tdSql.query(
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f"select max(tbcol) as b from {mt} where ts <= {ms} partition by tgcol interval(1m)"
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)
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tdLog.info(f"===> {tdSql.getData(1,0)}")
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tdSql.checkData(1, 0, 1)
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tdSql.checkRows(50)
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tdLog.info(f"=============== clear")
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tdSql.execute(f"drop database {db}")
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tdSql.query(f"select * from information_schema.ins_databases")
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tdSql.checkRows(2)
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print("\n")
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print("do_sim_max ............................ [passed]")
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#
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# ------------------ test_max.py ------------------
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#
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def max_check_stb_and_tb_base(self, dbname="db"):
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tdSql.prepare()
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intData = []
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floatData = []
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tdSql.execute(f'''create table {dbname}.stb(ts timestamp, col1 tinyint, col2 smallint, col3 int, col4 bigint, col5 tinyint unsigned, col6 smallint unsigned,
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col7 int unsigned, col8 bigint unsigned, col9 float, col10 double, col11 bool, col12 binary(20), col13 nchar(20)) tags(t0 tinyint, t1 float, loc nchar(20))''')
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tdSql.execute(f"create table {dbname}.stb_1 using {dbname}.stb tags(5, 5.5, 'beijing')")
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sql = f"insert into {dbname}.stb_1 values"
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for i in range(self.rowNum):
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sql += f" (%d, %d, %d, %d, %d, %d, %d, %d, %d, %f, %f, %d, '{self.binary_str}%d', '{self.nchar_str}%d')"%(self.ts + i, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 0.1, i + 0.1, i % 2, i + 1, i + 1)
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intData.append(i + 1)
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floatData.append(i + 0.1)
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tdSql.execute(sql)
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for i in ['col11','col12','col13']:
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for j in ['stb','stb_1']:
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tdSql.error(f'select max({i} from {dbname}.{j} )')
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for i in range(1,11):
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for j in ['stb', 'stb_1']:
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tdSql.query(f"select max(col{i}) from {dbname}.{j}")
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if i<9:
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tdSql.checkData(0, 0, np.max(intData))
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elif i>=9:
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tdSql.checkData(0, 0, np.max(floatData))
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tdSql.error(f"select max(now()) from {dbname}.stb_1")
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tdSql.query(f"select max(col1) from {dbname}.stb_1 where col2<=5")
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tdSql.checkData(0,0,5)
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tdSql.query(f"select max(col1) from {dbname}.stb where col2<=5")
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tdSql.checkData(0,0,5)
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tdSql.query(f"select ts, max(col1) from {dbname}.stb")
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tdSql.checkRows(1)
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tdSql.checkData(0, 1, np.max(intData))
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tdSql.query(f"select ts, max(col1) from {dbname}.stb_1")
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tdSql.checkRows(1)
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tdSql.checkData(0, 1, np.max(intData))
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tdSql.query(f"select ts, min(col9) from {dbname}.stb")
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tdSql.checkRows(1)
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tdSql.checkData(0, 1, np.min(floatData))
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tdSql.query(f"select ts, min(col9) from {dbname}.stb_1")
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tdSql.checkRows(1)
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tdSql.checkData(0, 1, np.min(floatData))
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# check tags
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tdSql.query(f"select max(t0) from {dbname}.stb")
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tdSql.checkData(0,0,5)
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tdSql.query(f"select max(t1) from {dbname}.stb")
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tdSql.checkData(0,0,5.5)
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def max_check_ntb_base(self, dbname="db"):
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tdSql.prepare()
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intData = []
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floatData = []
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tdSql.execute(f'''create table {dbname}.ntb(ts timestamp, col1 tinyint, col2 smallint, col3 int, col4 bigint, col5 tinyint unsigned, col6 smallint unsigned,
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col7 int unsigned, col8 bigint unsigned, col9 float, col10 double, col11 bool, col12 binary(20), col13 nchar(20))''')
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sql = f"insert into {dbname}.ntb values"
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for i in range(self.rowNum):
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sql += f" (%d, %d, %d, %d, %d, %d, %d, %d, %d, %f, %f, %d, '{self.binary_str}%d', '{self.nchar_str}%d')"%(self.ts + i, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 1, i + 0.1, i + 0.1, i % 2, i + 1, i + 1)
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intData.append(i + 1)
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floatData.append(i + 0.1)
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tdSql.execute(sql)
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for i in ['col11','col12','col13']:
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for j in ['ntb']:
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tdSql.error(f'select max({i} from {dbname}.{j} )')
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for i in range(1,11):
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for j in ['ntb']:
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tdSql.query(f"select max(col{i}) from {dbname}.{j}")
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if i<9:
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tdSql.checkData(0, 0, np.max(intData))
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elif i>=9:
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tdSql.checkData(0, 0, np.max(floatData))
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tdSql.error(f"select max(now()) from {dbname}.ntb")
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tdSql.query(f"select max(col1) from {dbname}.ntb where col2<=5")
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tdSql.checkData(0,0,5)
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def check_max_functions(self, tbname , col_name):
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max_sql = f"select max({col_name}) from {tbname};"
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same_sql = f"select {col_name} from {tbname} order by {col_name} desc limit 1"
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tdSql.query(max_sql)
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max_result = tdSql.queryResult
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tdSql.query(same_sql)
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same_result = tdSql.queryResult
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if max_result !=same_result:
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tdLog.exit(" max function work not as expected, sql : %s "% max_sql)
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else:
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tdLog.info(" max function work as expected, sql : %s "% max_sql)
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def support_distributed_aggregate(self, dbname="testdb"):
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# prepate datas for 20 tables distributed at different vgroups
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tdSql.execute(f"create database if not exists {dbname} keep 3650 duration 100 vgroups 5")
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tdSql.execute(f"use {dbname} ")
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tdSql.execute(
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f'''create table {dbname}.stb1
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(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
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tags (t0 timestamp, t1 int, t2 bigint, t3 smallint, t4 tinyint, t5 float, t6 double, t7 bool, t8 binary(16),t9 nchar(32))
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'''
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)
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tdSql.execute(
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f'''
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create table {dbname}.t1
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(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
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'''
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)
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for i in range(20):
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tdSql.execute(f'create table {dbname}.ct{i+1} using {dbname}.stb1 tags ( now(), {1*i}, {11111*i}, {111*i}, {1*i}, {1.11*i}, {11.11*i}, {i%2}, "binary{i}", "nchar{i}" )')
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for i in range(9):
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tdSql.execute(
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f"insert into {dbname}.ct1 values ( now()-{i*10}s, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
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)
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tdSql.execute(
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f"insert into {dbname}.ct4 values ( now()-{i*90}d, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
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)
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for i in range(1,21):
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if i ==1 or i == 4:
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continue
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else:
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tbname = f"{dbname}.ct{i}"
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sql = f"insert into {tbname} values "
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for j in range(9):
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sql += f" (now()-{(i+j)*10}s, {1*(j+i)}, {11111*(j+i)}, {111*(j+i)}, {11*(j)}, {1.11*(j+i)}, {11.11*(j+i)}, {(j+i)%2}, 'binary{j}', 'nchar{j}', now()+{1*j}a )"
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tdSql.execute(sql)
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tdSql.execute(f"insert into {dbname}.ct1 values (now()-45s, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar0', now()+8a )")
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tdSql.execute(f"insert into {dbname}.ct1 values (now()+10s, 9, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute(f"insert into {dbname}.ct1 values (now()+15s, 9, -99999, -999, -99, -9.99, NULL, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute(f"insert into {dbname}.ct1 values (now()+20s, 9, -99999, -999, NULL, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute(f"insert into {dbname}.ct4 values (now()-810d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute(f"insert into {dbname}.ct4 values (now()-400d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute(f"insert into {dbname}.ct4 values (now()+90d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute(
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f'''insert into {dbname}.t1 values
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( '2020-04-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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( '2020-10-21 01:01:01.000', 1, 11111, 111, 11, 1.11, 11.11, 1, "binary1", "nchar1", now()+1a )
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( '2020-12-31 01:01:01.000', 2, 22222, 222, 22, 2.22, 22.22, 0, "binary2", "nchar2", now()+2a )
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( '2021-01-01 01:01:06.000', 3, 33333, 333, 33, 3.33, 33.33, 0, "binary3", "nchar3", now()+3a )
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( '2021-05-07 01:01:10.000', 4, 44444, 444, 44, 4.44, 44.44, 1, "binary4", "nchar4", now()+4a )
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( '2021-07-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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( '2021-09-30 01:01:16.000', 5, 55555, 555, 55, 5.55, 55.55, 0, "binary5", "nchar5", now()+5a )
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( '2022-02-01 01:01:20.000', 6, 66666, 666, 66, 6.66, 66.66, 1, "binary6", "nchar6", now()+6a )
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( '2022-10-28 01:01:26.000', 7, 00000, 000, 00, 0.00, 00.00, 1, "binary7", "nchar7", "1970-01-01 08:00:00.000" )
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( '2022-12-01 01:01:30.000', 8, -88888, -888, -88, -8.88, -88.88, 0, "binary8", "nchar8", "1969-01-01 01:00:00.000" )
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( '2022-12-31 01:01:36.000', 9, -99999999999999999, -999, -99, -9.99, -999999999999999999999.99, 1, "binary9", "nchar9", "1900-01-01 00:00:00.000" )
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( '2023-02-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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'''
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)
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tdLog.info(" prepare data for distributed_aggregate done! ")
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# get vgroup_ids of all
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tdSql.query(f"show {dbname}.vgroups ")
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vgroups = tdSql.queryResult
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vnode_tables={}
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for vgroup_id in vgroups:
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vnode_tables[vgroup_id[0]]=[]
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# check sub_table of per vnode ,make sure sub_table has been distributed
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tdSql.query(f"select * from information_schema.ins_tables where db_name = '{dbname}' and table_name like 'ct%'")
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table_names = tdSql.queryResult
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tablenames = []
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for table_name in table_names:
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vnode_tables[table_name[6]].append(table_name[0])
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count = 0
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for k ,v in vnode_tables.items():
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if len(v)>=2:
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count+=1
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if count < 2:
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tdLog.exit(" the datas of all not satisfy sub_table has been distributed ")
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# check max function work status
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tdSql.query(f"show {dbname}.tables like 'ct%'")
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table_names = tdSql.queryResult
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tablenames = []
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for table_name in table_names:
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tablenames.append(table_name[0])
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tdSql.query(f"desc {dbname}.stb1")
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col_names = tdSql.queryResult
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colnames = []
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for col_name in col_names:
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if col_name[1] in ["INT" ,"BIGINT" ,"SMALLINT" ,"TINYINT" , "FLOAT" ,"DOUBLE"]:
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colnames.append(col_name[0])
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for tablename in tablenames:
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for colname in colnames:
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self.check_max_functions(f"{dbname}.{tablename}", colname)
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def do_max(self):
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# init
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self.rowNum = 10
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self.ts = 1537146000000
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self.binary_str = 'taosdata'
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self.nchar_str = '涛思数据'
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# max verifacation
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self.max_check_stb_and_tb_base()
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self.max_check_ntb_base()
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self.support_distributed_aggregate()
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print("do_max ................................ [passed]")
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#
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# ------------------ test_distribute_min.py ------------------
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#
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def check_max_functions(self, tbname , col_name):
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max_sql = f"select max({col_name}) from {tbname};"
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same_sql = f"select {col_name} from {tbname} order by {col_name} desc limit 1"
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tdSql.query(max_sql)
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max_result = tdSql.queryResult
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tdSql.query(same_sql)
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same_result = tdSql.queryResult
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if max_result !=same_result:
|
|
tdLog.exit(" max function work not as expected, sql : %s "% max_sql)
|
|
else:
|
|
tdLog.info(" max function work as expected, sql : %s "% max_sql)
|
|
|
|
|
|
def prepare_datas_of_distribute(self, dbname="testdb"):
|
|
|
|
# prepate datas for 20 tables distributed at different vgroups
|
|
tdSql.execute(f"create database if not exists {dbname} keep 3650 duration 100 vgroups 5")
|
|
tdSql.execute(f" use {dbname} ")
|
|
tdSql.execute(f"drop table if exists {dbname}.stb1")
|
|
tdSql.execute(
|
|
f'''create table {dbname}.stb1
|
|
(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
|
|
tags (t0 timestamp, t1 int, t2 bigint, t3 smallint, t4 tinyint, t5 float, t6 double, t7 bool, t8 binary(16),t9 nchar(32))
|
|
'''
|
|
)
|
|
|
|
for i in range(20):
|
|
tdSql.execute(f'create table {dbname}.ct{i+1} using {dbname}.stb1 tags ( now(), {1*i}, {11111*i}, {111*i}, {1*i}, {1.11*i}, {11.11*i}, {i%2}, "binary{i}", "nchar{i}" )')
|
|
|
|
for i in range(9):
|
|
tdSql.execute(
|
|
f"insert into {dbname}.ct1 values ( now()-{i*10}s, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
|
|
)
|
|
tdSql.execute(
|
|
f"insert into {dbname}.ct4 values ( now()-{i*90}d, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
|
|
)
|
|
|
|
for i in range(1,21):
|
|
if i ==1 or i == 4:
|
|
continue
|
|
else:
|
|
tbname = f"{dbname}.ct{i}"
|
|
sql = f"insert into {tbname} values"
|
|
for j in range(9):
|
|
sql += f" (now()-{(i+j)*10}s, {1*(j+i)}, {11111*(j+i)}, {111*(j+i)}, {11*(j)}, {1.11*(j+i)}, {11.11*(j+i)}, {(j+i)%2}, 'binary{j}', 'nchar{j}', now()+{1*j}a )"
|
|
tdSql.execute(sql)
|
|
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()-45s, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar0', now()+8a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+10s, 9, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+15s, 9, -99999, -999, -99, -9.99, NULL, 1, 'binary9', 'nchar9', now()+9a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+20s, 9, -99999, -999, NULL, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
|
|
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()-810d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()-400d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()+90d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
|
|
tdLog.info(" prepare data for distributed_aggregate done! ")
|
|
|
|
def check_distribute_datas(self, dbname="testdb"):
|
|
# get vgroup_ids of all
|
|
tdSql.query(f"show {dbname}.vgroups ")
|
|
vgroups = tdSql.queryResult
|
|
|
|
vnode_tables={}
|
|
|
|
for vgroup_id in vgroups:
|
|
vnode_tables[vgroup_id[0]]=[]
|
|
|
|
# check sub_table of per vnode ,make sure sub_table has been distributed
|
|
tdSql.query(f"select * from information_schema.ins_tables where db_name = '{dbname}' and table_name like 'ct%'")
|
|
table_names = tdSql.queryResult
|
|
tablenames = []
|
|
for table_name in table_names:
|
|
vnode_tables[table_name[6]].append(table_name[0])
|
|
self.vnode_disbutes = vnode_tables
|
|
|
|
count = 0
|
|
for k ,v in vnode_tables.items():
|
|
if len(v)>=2:
|
|
count+=1
|
|
if count < 2:
|
|
tdLog.exit(" the datas of all not satisfy sub_table has been distributed ")
|
|
|
|
def check_max_distribute_diff_vnode(self,col_name, dbname="testdb"):
|
|
|
|
vgroup_ids = []
|
|
for k ,v in self.vnode_disbutes.items():
|
|
if len(v)>=2:
|
|
vgroup_ids.append(k)
|
|
|
|
distribute_tbnames = []
|
|
|
|
for vgroup_id in vgroup_ids:
|
|
vnode_tables = self.vnode_disbutes[vgroup_id]
|
|
distribute_tbnames.append(random.sample(vnode_tables,1)[0])
|
|
tbname_ins = ""
|
|
for tbname in distribute_tbnames:
|
|
tbname_ins += "'%s' ,"%tbname
|
|
|
|
tbname_filters = tbname_ins[:-1]
|
|
|
|
max_sql = f"select max({col_name}) from {dbname}.stb1 where tbname in ({tbname_filters});"
|
|
|
|
same_sql = f"select {col_name} from {dbname}.stb1 where tbname in ({tbname_filters}) order by {col_name} desc limit 1"
|
|
|
|
tdSql.query(max_sql)
|
|
max_result = tdSql.queryResult
|
|
|
|
tdSql.query(same_sql)
|
|
same_result = tdSql.queryResult
|
|
|
|
if max_result !=same_result:
|
|
tdLog.exit(" max function work not as expected, sql : %s "% max_sql)
|
|
else:
|
|
tdLog.info(" max function work as expected, sql : %s "% max_sql)
|
|
|
|
def check_max_status(self, dbname="testdb"):
|
|
# check max function work status
|
|
|
|
tdSql.query(f"show {dbname}.tables like 'ct%'")
|
|
table_names = tdSql.queryResult
|
|
tablenames = []
|
|
for table_name in table_names:
|
|
tablenames.append(f"{dbname}.{table_name[0]}")
|
|
|
|
tdSql.query(f"desc {dbname}.stb1")
|
|
col_names = tdSql.queryResult
|
|
|
|
colnames = []
|
|
for col_name in col_names:
|
|
if col_name[1] in ["INT" ,"BIGINT" ,"SMALLINT" ,"TINYINT" , "FLOAT" ,"DOUBLE"]:
|
|
colnames.append(col_name[0])
|
|
|
|
for tablename in tablenames:
|
|
for colname in colnames:
|
|
self.check_max_functions(tablename,colname)
|
|
|
|
# check max function for different vnode
|
|
|
|
for colname in colnames:
|
|
if colname.startswith("c"):
|
|
self.check_max_distribute_diff_vnode(colname, dbname)
|
|
else:
|
|
# self.check_max_distribute_diff_vnode(colname, dbname) # bug for tag
|
|
pass
|
|
|
|
def distribute_agg_query(self, dbname="testdb"):
|
|
# basic filter
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 where c1 is null")
|
|
tdSql.checkRows(1)
|
|
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 where t1=1")
|
|
tdSql.checkData(0,0,10)
|
|
|
|
tdSql.query(f"select max(c1+c2) from {dbname}.stb1 where c1 =1 ")
|
|
tdSql.checkData(0,0,11112.000000000)
|
|
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 where tbname=\"ct2\"")
|
|
tdSql.checkData(0,0,10)
|
|
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 partition by tbname")
|
|
tdSql.checkRows(20)
|
|
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 where t1> 4 partition by tbname")
|
|
tdSql.checkRows(15)
|
|
|
|
# union all
|
|
tdSql.query(f"select max(c1) from {dbname}.stb1 union all select max(c1) from {dbname}.stb1 ")
|
|
tdSql.checkRows(2)
|
|
tdSql.checkData(0,0,28)
|
|
|
|
# join
|
|
|
|
tdSql.execute(" create database if not exists db ")
|
|
tdSql.execute(" use db ")
|
|
tdSql.execute(" create stable db.st (ts timestamp , c1 int ,c2 float) tags(t1 int) ")
|
|
tdSql.execute(" create table db.tb1 using db.st tags(1) ")
|
|
tdSql.execute(" create table db.tb2 using db.st tags(2) ")
|
|
|
|
values = "values"
|
|
for i in range(10):
|
|
ts = i*10 + self.ts
|
|
values += f" ({ts},{i},{i}.0)"
|
|
sql = f"insert into db.tb1 {values} db.tb2 {values}"
|
|
tdSql.execute(sql)
|
|
|
|
tdSql.query(f"select max(tb1.c1), tb2.c2 from db.tb1 tb1, db.tb2 tb2 where tb1.ts=tb2.ts")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,9)
|
|
tdSql.checkData(0,0,9.00000)
|
|
|
|
# group by
|
|
tdSql.execute("use testdb ")
|
|
tdSql.query(f"select max(c1),c1 from {dbname}.stb1 group by t1 ")
|
|
tdSql.checkRows(20)
|
|
tdSql.query(f"select max(c1),c1 from {dbname}.stb1 group by c1 ")
|
|
tdSql.checkRows(30)
|
|
tdSql.query(f"select max(c1),c2 from {dbname}.stb1 group by c2 ")
|
|
tdSql.checkRows(31)
|
|
|
|
# selective common cols of datas
|
|
tdSql.query(f"select max(c1),c2,c3,c5 from {dbname}.stb1")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,28)
|
|
tdSql.checkData(0,1,311108)
|
|
tdSql.checkData(0,2,3108)
|
|
tdSql.checkData(0,3,31.08000)
|
|
|
|
tdSql.query(f"select max(c1),t1,c2,t3 from {dbname}.stb1")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,28)
|
|
tdSql.checkData(0,1,19)
|
|
tdSql.checkData(0,2,311108)
|
|
|
|
tdSql.query(f"select max(c1),ceil(t1),pow(c2,1)+2,abs(t3) from {dbname}.stb1")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,28)
|
|
tdSql.checkData(0,1,19)
|
|
tdSql.checkData(0,2,311110.000000000)
|
|
tdSql.checkData(0,3,2109)
|
|
|
|
# partition by tbname or partition by tag
|
|
tdSql.query(f"select max(c1),tbname from {dbname}.stb1 partition by tbname")
|
|
query_data = tdSql.queryResult
|
|
|
|
for row in query_data:
|
|
tbname = f"{dbname}.{row[1]}"
|
|
tdSql.query(f"select max(c1) from %s "%tbname)
|
|
tdSql.checkData(0,0,row[0])
|
|
|
|
tdSql.query(f"select max(c1),tbname from {dbname}.stb1 partition by t1")
|
|
query_data = tdSql.queryResult
|
|
|
|
for row in query_data:
|
|
tbname = f"{dbname}.{row[1]}"
|
|
tdSql.query(f"select max(c1) from %s "%tbname)
|
|
tdSql.checkData(0,0,row[0])
|
|
|
|
# nest query for support max
|
|
tdSql.query(f"select abs(c2+2)+1 from (select max(c1) c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,31.000000000)
|
|
tdSql.query(f"select max(c1+2)+1 as c2 from (select ts ,c1 ,c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,31.000000000)
|
|
tdSql.query(f"select max(a+2)+1 as c2 from (select ts ,abs(c1) a ,c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,31.000000000)
|
|
|
|
# mixup with other functions
|
|
tdSql.query(f"select max(c1),count(c1),last(c2,c3) from {dbname}.stb1")
|
|
tdSql.checkData(0,0,28)
|
|
tdSql.checkData(0,1,184)
|
|
tdSql.checkData(0,2,-99999)
|
|
tdSql.checkData(0,3,-999)
|
|
|
|
def do_distribute_max(self):
|
|
# init
|
|
self.vnode_disbutes = None
|
|
self.ts = 1537146000000
|
|
|
|
# do
|
|
self.prepare_datas_of_distribute()
|
|
self.check_distribute_datas()
|
|
self.check_max_status()
|
|
self.distribute_agg_query()
|
|
print("do_distribute_max ..................... [passed]")
|
|
|
|
#
|
|
# ------------------ main ------------------
|
|
#
|
|
def test_func_agg_max(self):
|
|
""" Fun: max()
|
|
|
|
1. Sim case including time windows, filtering on ordinary data columns, filtering on tag columns, GROUP BY, and PARTITION BY.
|
|
2. Query on super/child/normal table
|
|
3. Support types
|
|
4. Error cases
|
|
5. Query with filter conditions
|
|
6. Query with group by
|
|
7. Query with distribute aggregate
|
|
8. Check function status
|
|
|
|
|
|
Since: v3.0.0.0
|
|
|
|
Labels: common,ci
|
|
|
|
Jira: None
|
|
|
|
History:
|
|
- 2025-4-28 Simon Guan Migrated from tsim/compute/max.sim
|
|
- 2025-9-28 Alex Duan Migrated from uncatalog/system-test/2-query/test_max.py
|
|
- 2025-9-28 Alex Duan Migrated from uncatalog/system-test/2-query/test_distribute_agg_max.py
|
|
"""
|
|
|
|
self.do_sim_max()
|
|
self.do_max()
|
|
self.do_distribute_max() |