histogram.py 32.6 KB
Newer Older
C
cpwu 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
import datetime
import re
import json

from dataclasses import dataclass, field
from typing import List, Any, Tuple

from certifi import where
from util.log import tdLog
from util.sql import tdSql
from util.cases import tdCases
from util.dnodes import tdDnodes
from util.constant import *
from util.common import is_json

PRIMARY_COL = "ts"

INT_COL = "c_int"
BINT_COL = "c_bint"
SINT_COL = "c_sint"
TINT_COL = "c_tint"
FLOAT_COL = "c_float"
DOUBLE_COL = "c_double"
BOOL_COL = "c_bool"
TINT_UN_COL = "c_utint"
SINT_UN_COL = "c_usint"
BINT_UN_COL = "c_ubint"
INT_UN_COL = "c_uint"
BINARY_COL = "c_binary"
NCHAR_COL = "c_nchar"
TS_COL = "c_ts"

NUM_COL = [INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, TINT_UN_COL, SINT_UN_COL, BINT_UN_COL, INT_UN_COL]
CHAR_COL = [BINARY_COL, NCHAR_COL, ]
BOOLEAN_COL = [BOOL_COL, ]
TS_TYPE_COL = [TS_COL, ]

INT_TAG = "t_int"

ALL_COL = [PRIMARY_COL, INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, BINARY_COL, NCHAR_COL, BOOL_COL, TS_COL]
TAG_COL = [INT_TAG]

# insert data args:
TIME_STEP = 10000
NOW = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)

# init db/table
DBNAME  = "db"
STBNAME = "stb1"
CTBNAME = "ct1"
NTBNAME = "nt1"


@dataclass
class DataSet:
    ts_data     : List[int]     = field(default_factory=list)
    int_data    : List[int]     = field(default_factory=list)
    bint_data   : List[int]     = field(default_factory=list)
    sint_data   : List[int]     = field(default_factory=list)
    tint_data   : List[int]     = field(default_factory=list)
    int_un_data : List[int]     = field(default_factory=list)
    bint_un_data: List[int]     = field(default_factory=list)
    sint_un_data: List[int]     = field(default_factory=list)
    tint_un_data: List[int]     = field(default_factory=list)
    float_data  : List[float]   = field(default_factory=list)
    double_data : List[float]   = field(default_factory=list)
    bool_data   : List[int]     = field(default_factory=list)
    binary_data : List[str]     = field(default_factory=list)
    nchar_data  : List[str]     = field(default_factory=list)


@dataclass
class Hsgschema:
    func_type           : str           = "SELECT"
    from_clause         : str           = STBNAME
    where_clause        : str           = None
    group_clause        : str           = None
    having_clause       : str           = None
    partition_clause    : str           = None

    histogram_flag      : str           = "HISTOGRAM"
    col                 : str           = None
    real_col            : Any           = None
    bin_type            : str           = None
    bin_desc            : Any           = None
    normalized          : int           = 0
    other               : dict          = None

    user_input          : str           = None
    linear_bin          : str           = None
    log_bin             : str           = None

    liner_width         : float         = None

    bin_start           : float         = None
    bin_count           : int           = None
    bin_infinity        : bool          = None

    def __post_init__(self):
        if isinstance(self.other, dict):
            for k,v in self.other.items():
                if k.lower().strip() == "func_type" and isinstance(v, str) and not self.func_type:
                    self.func_type = v
                    del self.other[k]

                if k.lower().strip() == "from_clause" and isinstance(v, str) and not self.from_clause:
                    self.from_clause = v
                    del self.other[k]

                if k.lower().strip() == "where_clause" and isinstance(v, str) and not self.where_clause:
                    self.where_clause = v
                    del self.other[k]

                if k.lower().strip() == "group_clause" and isinstance(v, str) and not self.group_clause:
                    self.group_clause = v
                    del self.other[k]

                if k.lower().strip() == "having_clause" and isinstance(v, str) and not self.having_clause:
                    self.having_clause = v
                    del self.other[k]

                if k.lower().strip() == "partition_clause" and isinstance(v, str) and not self.partition_clause:
                    self.partition_clause = v
                    del self.other[k]

                if k.lower().strip() == "histogram_flag" and isinstance(v, str) and not self.histogram_flag:
                    self.histogram_flag = v
                    del self.other[k]

                if k.lower().strip() == "col" and isinstance(v, str) and not self.col:
                    self.col = v
                    del self.other[k]

                if k.lower().strip() == "bin_type" and isinstance(v, str)  and not self.bin_type:
                    self.bin_type = v
                    del self.other[k]

                if k.lower().strip() == "user_input" and isinstance(v, str) and not self.user_input and self.bin_type.lower().strip() == "user_input":
                    self.user_input = v
                    del self.other[k]

                if k.lower().strip() == "linear_bin" and isinstance(v, str) and not self.linear_bin and self.bin_type.lower().strip() == "linear_bin":
                    self.linear_bin = v
                    del self.other[k]

                if k.lower().strip() == "log_bin" and isinstance(v, str) and not self.log_bin and self.bin_type.lower().strip()  == "log_bin":
                    self.log_bin = v
                    del self.other[k]

                if k.lower().strip() == "normalized" and isinstance(v, int) and not self.normalized:
                    self.normalized = v
                    del self.other[k]

        if isinstance(self.bin_type,str) and self.bin_type.upper().strip() == "USER_INPUT":
            self.bin_desc = self.user_input
        elif isinstance(self.bin_type,str) and self.bin_type.upper().strip() == "LINEAR_BIN":
            self.bin_desc = self.linear_bin
        elif isinstance(self.bin_type,str) and self.bin_type.upper().strip() == "LOG_BIN":
            self.bin_desc = self.log_bin

# from ...pytest.util.sql import *
# from ...pytest.util.constant import *
C
cpwu 已提交
163

C
cpwu 已提交
164
class TDTestCase:
C
cpwu 已提交
165

C
cpwu 已提交
166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295
    def init(self, conn, logSql):
        tdLog.debug(f"start to excute {__file__}")
        tdSql.init(conn.cursor(), False)
        self.precision = "ms"
        self.sma_count = 0
        self.sma_created_index = []

    def __create_hsg(self, sma:Hsgschema):
        return  f"""{sma.histogram_flag}({sma.col}, '{sma.bin_type}', '{sma.bin_desc}', {sma.normalized})"""

    def __gen_sql(self, sma:Hsgschema):
        sql = f"{sma.func_type} {self.__create_hsg(sma)} from {sma.from_clause} "
        if sma.where_clause:
            sql += f" where {sma.where_clause}"
        if sma.partition_clause:
            sql += f" partition by {sma.partition_clause}"
        if sma.group_clause:
            sql += f" group by {sma.group_clause}"
            if sma.having_clause:
                sql += f" having {sma.having_clause}"
        return sql

    def __gen_no_hsg_sql(self, sma:Hsgschema):
        return f"{sma.func_type} {sma.col} from {sma.from_clause}"

    def __hsg_check(self, sma:Hsgschema):
        if not sma.histogram_flag:
            return False
        if not sma.col or (not isinstance(sma.col, str) and not isinstance(sma.col, int) and not isinstance(sma.col, float)):
            return False
        if tdSql.is_err_sql(self.__gen_no_hsg_sql(sma)):
            return False
        if any ([not sma.bin_type,  not isinstance(sma.bin_type, str) ]):
            return False
        if all([sma.bin_type.upper().strip() != "USER_INPUT", sma.bin_type.upper().strip() != "LINEAR_BIN" , sma.bin_type.upper().strip() != "LOG_BIN"]):
            return False
        if not sma.bin_desc:
            return False
        if sma.normalized  is None or not isinstance(sma.normalized, int) or (sma.normalized != 0 and sma.normalized != 1):
            return False
        if sma.bin_type.upper().strip() == "USER_INPUT":
            # user_raw = eval(sma.bin_desc) if isinstance(sma.bin_desc, str) else sma.bin_desc
            if not is_json(sma.bin_desc) and not isinstance(sma.bin_desc, list) and not isinstance(sma.bin_desc, set):
                return False
            user_raw = json.loads(sma.bin_desc) if is_json(sma.bin_desc) else sma.bin_desc
            if not isinstance(user_raw, list):
                return False
            if len(user_raw) >= 2:
                for i in range(len(user_raw)-1):
                    if user_raw[i] >= user_raw[ i+1 ]:
                        return False
                    if not isinstance(user_raw[i], int) and not isinstance(user_raw[i], float):
                        return False
                if not isinstance(user_raw[-1], int) and not isinstance(user_raw[-1], float):
                    return False
            else:
                if not isinstance(user_raw[-1], int) and not isinstance(user_raw[-1], float):
                    return False
            sma.bin_count = len(user_raw) - 1

        if sma.bin_type.upper().strip() == "LINEAR_BIN":
            if not is_json(sma.bin_desc):
                return False
            user_raw = json.loads(sma.bin_desc)
            if not isinstance(user_raw, dict):
                return False
            if any([len(user_raw.keys()) != 4, "start" not in user_raw.keys(), "width" not in user_raw.keys(), "count" not in user_raw.keys(), "infinity" not in user_raw.keys()]):
                return False
            if not isinstance(user_raw["start"], int) and not isinstance(user_raw["start"], float):
                return False
            if not isinstance(user_raw["width"], int) and not isinstance(user_raw["width"], float) or user_raw["width"] == 0 :
                return False
            if not isinstance(user_raw["count"], int) and not isinstance(user_raw["count"], float) or user_raw["count"] <= 0:
                return False
            if not isinstance(user_raw["infinity"], bool) :
                return False
            sma.bin_infinity = user_raw["infinity"]
            sma.bin_count = int(user_raw["count"]) + 2 if user_raw["infinity"]  else int(user_raw["count"])

        if sma.bin_type.upper().strip() == "LOG_BIN":
            if not is_json(sma.bin_desc):
                return False
            user_raw = json.loads(sma.bin_desc)
            if not isinstance(user_raw, dict):
                return False
            if any([ len(user_raw.keys()) != 4, "start" not in user_raw.keys(), "factor" not in user_raw.keys(), "count" not in user_raw.keys(), "infinity" not in user_raw.keys()]):
                return False
            if not isinstance(user_raw["start"], int) and not isinstance(user_raw["start"], float) or user_raw["start"] == 0:
                return False
            if not isinstance(user_raw["factor"], int) and not isinstance(user_raw["factor"], float) or user_raw["factor"] <= 0 :
                return False
            if not isinstance(user_raw["count"], int) and not isinstance(user_raw["count"], float)  or user_raw["count"] <= 0:
                return False
            if not isinstance(user_raw["infinity"], bool) :
                return False
            sma.bin_infinity = user_raw["infinity"]
            sma.bin_count = int(user_raw["count"]) + 2 if user_raw["infinity"]  else int(user_raw["count"])

        invalid_func = AGG_FUNC
        invalid_func.extend(SELECT_FUNC)
        invalid_func.extend(TS_FUNC)
        for func in invalid_func:
            if sma.where_clause and func in sma.where_clause.upper().strip():
                return False
            if sma.group_clause and func in sma.group_clause.upper().strip():
                return False
            if sma.partition_clause and func in sma.partition_clause.upper().strip():
                return False
            if isinstance(sma.col, str) and func in sma.col.upper().strip():
                return False

        tdSql.execute(self.__gen_no_hsg_sql(sma))
        if tdSql.cursor.istype(0, "BINARY") or tdSql.cursor.istype(0, "NCHAR") or tdSql.cursor.istype(0, "BOOL") or tdSql.cursor.istype(0, "TIMESTAMP"):
            return False

        return True

    def hsg_check(self, sma:Hsgschema):
        if self.__hsg_check(sma):
            tdSql.query(self.__gen_sql(sma))
            tdSql.checkRows(sma.bin_count)
            sum_rate = 0
            if sma.normalized and (not sma.bin_infinity or sma.bin_type.upper().strip() == "USER_INPUT"):
                for i in range(tdSql.queryRows):
                    row_data = json.loads(tdSql.queryResult[i][0])
                    sum_rate += row_data["count"]
                if sum_rate != 0 and (sum_rate-1) > 0.00001:
                    tdLog.exit(f"summary of result count should be 0 or 1, now summary is {sum_rate} !!!")
                else:
                    tdLog.success(f"summary of result count is {sum_rate}!")
C
cpwu 已提交
296

C
cpwu 已提交
297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527
        else:
            tdSql.error(self.__gen_sql(sma))

    @property
    def __hsg_querysql(self):
        err_sqls = []
        cur_sqls = []
        # err_set
        ### case 1.1: required fields check
        err_sqls.append( Hsgschema( histogram_flag="", bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema( col="", bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="", bin_desc="[0,3,6,9]", normalized=0 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="", normalized=0 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[0,3,6,9]", normalized="" ) )

        ## case 1.2: format check
        err_sqls.append( Hsgschema(col=(INT_COL, BINT_COL), bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema(col={"col": INT_COL}, bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema( col=(INT_UN_COL, INT_COL), bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema( col=f"sum({INT_UN_COL}, {INT_COL})", bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema(col=INT_COL, bin_type="USER_INPUT_1", user_input="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema(col=INT_COL, bin_type=("USER_INPUT",), bin_desc="[0,3,6,9]" ) )
        err_sqls.append( Hsgschema(col=INT_COL, bin_type="USER_INPUT", user_input="0,3,6,9" ) )
        err_sqls.append( Hsgschema(col=INT_COL, bin_type="USER_INPUT", user_input={0,3,6,9} ) )
        err_sqls.append( Hsgschema(col=INT_COL, bin_type="USER_INPUT", user_input=(0,3,6,9) ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[0,3,6,9]", normalized=1.5 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[0,3,6,9]", normalized="null" ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input={"start": -200, "width": 100, "count": 20, "infinity": True}, normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[3,0,10,6,9]", normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[0,3,6,9,'a']", normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="['a']", normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin=['{"start": 1, "width": 3, "count": 10, "infinity": false}'], normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='[{"start": 1, "width": 3, "count": 10, "infinity": false}]', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"begin": 1, "width": 3, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "length": 3, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 3, "num": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 3, "count": 10, "withnull": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 3, "count": 10, "infinity": false, "other": 1}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": null, "width": 3, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": "a", "width": 3, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": "a", "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": null, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 0, "count": 10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 1, "count": 0, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 1, "count": -10, "infinity": false}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 1, "count": 10, "infinity": "false"}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 1, "count": 10, "infinity": null}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin=['{"start": 1, "factor": 4, "count": 4, "infinity": true}'], normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='[{"start": 1, "factor": 4, "count": 4, "infinity": true}]', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"begin": 1, "factor": 4, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "step": 4, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "num": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 4, "witgnull": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 4, "infinity": true, "other": 2}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": null, "factor": 4, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": "a", "factor": 4, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 0, "factor": 4, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": "a", "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": null, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 0, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": -10, "count": 4, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 0, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": -10, "infinity": true}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": "true"}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": null}', normalized=1 ) )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}', where_clause=f"count({INT_COL}) >= 0 ") )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}', group_clause=f"min({INT_COL}) ") )
        err_sqls.append( Hsgschema( col=INT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}', partition_clause=f"CSUM({INT_COL}) ") )
        err_sqls.append( Hsgschema( col=f"TWA({INT_COL})", bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}') )
        err_sqls.append( Hsgschema( col=BINARY_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}') )
        err_sqls.append( Hsgschema( col=NCHAR_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}') )
        err_sqls.append( Hsgschema( col=TS_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}') )
        err_sqls.append( Hsgschema( col=BOOL_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 10, "count": 10, "infinity": false}') )


        ### case 2:

        # current_set
        for num_col in NUM_COL:
            cur_sqls.append( Hsgschema( col=num_col, bin_type="USER_INPUT", user_input="[0,3,6,9,11]", normalized=0) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="USER_INPUT", user_input="[0,3,6,9,11]", normalized=1) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=1) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": true}', normalized=1) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=0) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": true}', normalized=0 ) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": false}', normalized=1 ) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": true}', normalized=1 ) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": false}', normalized=0 ) )
            cur_sqls.append( Hsgschema( col=num_col, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": true}', normalized=0 ) )

        cur_sqls.append( Hsgschema( col=INT_UN_COL, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=1) )
        cur_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input="[0,3,6,9]", normalized=0 ) )
        cur_sqls.append( Hsgschema( col=INT_COL, bin_type="USER_INPUT", user_input=[0,3,6,9] ) )
        cur_sqls.append( Hsgschema( col=1, bin_type="USER_INPUT", user_input="[0,3,6,9]" ) )
        cur_sqls.append( Hsgschema( col=BINT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 3, "count": 10, "infinity": false}', normalized=0 ) )
        cur_sqls.append( Hsgschema( col=FLOAT_COL, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 4, "infinity": true}', normalized=0 ) )
        cur_sqls.append( Hsgschema( col=INT_COL, bin_type="linear_bin", linear_bin='{"start": 1, "width": 1, "count": 1.5, "infinity": false}', normalized=1 ) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="USER_INPUT", user_input="[0,3,6,9,11]", normalized=0) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="USER_INPUT", user_input="[0,3,6,9,11]", normalized=1) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=1) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": true}', normalized=1) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": false}', normalized=0) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="linear_bin", linear_bin='{"start": -200, "width": 100, "count": 20, "infinity": true}', normalized=0 ) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": false}', normalized=1 ) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": true}', normalized=1 ) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": false}', normalized=0 ) )
        cur_sqls.append( Hsgschema( col=INT_TAG, bin_type="log_bin", log_bin='{"start": 1, "factor": 4, "count": 6, "infinity": true}', normalized=0 ) )


        return err_sqls, cur_sqls

    def test_histogram(self):
        err_sqls , cur_sqls = self.__hsg_querysql
        for err_sql in err_sqls:
            self.hsg_check(err_sql)
        for cur_sql in cur_sqls:
            self.hsg_check(cur_sql)

        tdSql.query("SELECT HISTOGRAM(c_int, 'USER_INPUT', '[0,3,6,9]', 0) from stb1 where c_int < 10")
        tdSql.checkData(0, 0, '{"lower_bin":0, "upper_bin":3, "count":6}')
        tdSql.checkData(1, 0, '{"lower_bin":3, "upper_bin":6, "count":6}')
        tdSql.checkData(2, 0, '{"lower_bin":6, "upper_bin":9, "count":6}')

        tdSql.query("SELECT HISTOGRAM(c_int, 'USER_INPUT', '[0,3,6,9]', 0) from ct1 where c_int < 10")
        tdSql.checkData(0, 0, '{"lower_bin":0, "upper_bin":3, "count":3}')
        tdSql.checkData(1, 0, '{"lower_bin":3, "upper_bin":6, "count":3}')
        tdSql.checkData(2, 0, '{"lower_bin":6, "upper_bin":9, "count":3}')

        tdSql.query("SELECT HISTOGRAM(c_int, 'USER_INPUT', '[0,3,6,9]', 0) from nt1 where c_int < 10")
        tdSql.checkData(0, 0, '{"lower_bin":0, "upper_bin":3, "count":3}')
        tdSql.checkData(1, 0, '{"lower_bin":3, "upper_bin":6, "count":3}')
        tdSql.checkData(2, 0, '{"lower_bin":6, "upper_bin":9, "count":3}')

    def all_test(self):
        self.test_histogram()

    def __create_tb(self):
        tdLog.printNoPrefix("==========step: create table")
        create_stb_sql = f'''create table {STBNAME}(
                ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
                {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
                {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp,
                {TINT_UN_COL} tinyint unsigned, {SINT_UN_COL} smallint unsigned,
                {INT_UN_COL} int unsigned, {BINT_UN_COL} bigint unsigned
            ) tags ({INT_TAG} int)
            '''
        create_ntb_sql = f'''create table {NTBNAME}(
                ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
                {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
                {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp,
                {TINT_UN_COL} tinyint unsigned, {SINT_UN_COL} smallint unsigned,
                {INT_UN_COL} int unsigned, {BINT_UN_COL} bigint unsigned
            )
            '''
        tdSql.execute(create_stb_sql)
        tdSql.execute(create_ntb_sql)

        for i in range(4):
            tdSql.execute(f'create table ct{i+1} using stb1 tags ( {i+1} )')

    def __data_set(self, rows):
        data_set = DataSet()

        for i in range(rows):
            data_set.ts_data.append(NOW + 1 * (rows - i))
            data_set.int_data.append(rows - i)
            data_set.bint_data.append(11111 * (rows - i))
            data_set.sint_data.append(111 * (rows - i) % 32767)
            data_set.tint_data.append(11 * (rows - i) % 127)
            data_set.int_un_data.append(rows - i)
            data_set.bint_un_data.append(11111 * (rows - i))
            data_set.sint_un_data.append(111 * (rows - i) % 32767)
            data_set.tint_un_data.append(11 * (rows - i) % 127)
            data_set.float_data.append(1.11 * (rows - i))
            data_set.double_data.append(1100.0011 * (rows - i))
            data_set.bool_data.append((rows - i) % 2)
            data_set.binary_data.append(f'binary{(rows - i)}')
            data_set.nchar_data.append(f'nchar_测试_{(rows - i)}')

        return data_set

    def __insert_data(self):
        tdLog.printNoPrefix("==========step: start inser data into tables now.....")
        data = self.__data_set(rows=self.rows)

        # now_time = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)
        null_data = '''null, null, null, null, null, null, null, null, null, null, null, null, null, null'''
        zero_data = "0, 0, 0, 0, 0, 0, 0, 'binary_0', 'nchar_0', 0, 0, 0, 0, 0"

        for i in range(self.rows):
            row_data = f'''
                {data.int_data[i]}, {data.bint_data[i]}, {data.sint_data[i]}, {data.tint_data[i]}, {data.float_data[i]}, {data.double_data[i]},
                {data.bool_data[i]}, '{data.binary_data[i]}', '{data.nchar_data[i]}', {data.ts_data[i]}, {data.tint_un_data[i]},
                {data.sint_un_data[i]}, {data.int_un_data[i]}, {data.bint_un_data[i]}
            '''
            neg_row_data = f'''
                {-1 * data.int_data[i]}, {-1 * data.bint_data[i]}, {-1 * data.sint_data[i]}, {-1 * data.tint_data[i]}, {-1 * data.float_data[i]}, {-1 * data.double_data[i]},
                {data.bool_data[i]}, '{data.binary_data[i]}', '{data.nchar_data[i]}', {data.ts_data[i]}, {1 * data.tint_un_data[i]},
                {1 * data.sint_un_data[i]}, {1 * data.int_un_data[i]}, {1 * data.bint_un_data[i]}
            '''

            tdSql.execute(
                f"insert into ct1 values ( {NOW - i * TIME_STEP}, {row_data} )")
            tdSql.execute(
                f"insert into ct2 values ( {NOW - i * int(TIME_STEP * 0.6)}, {neg_row_data} )")
            tdSql.execute(
                f"insert into ct4 values ( {NOW - i * int(TIME_STEP * 0.8) }, {row_data} )")
            tdSql.execute(
                f"insert into {NTBNAME} values ( {NOW - i * int(TIME_STEP * 1.2)}, {row_data} )")

        tdSql.execute(
            f"insert into ct2 values ( {NOW + int(TIME_STEP * 0.6)}, {null_data} )")
        tdSql.execute(
            f"insert into ct2 values ( {NOW - (self.rows + 1) * int(TIME_STEP * 0.6)}, {null_data} )")
        tdSql.execute(
            f"insert into ct2 values ( {NOW - self.rows * int(TIME_STEP * 0.29) }, {null_data} )")

        tdSql.execute(
            f"insert into ct4 values ( {NOW + int(TIME_STEP * 0.8)}, {null_data} )")
        tdSql.execute(
            f"insert into ct4 values ( {NOW - (self.rows + 1) * int(TIME_STEP * 0.8)}, {null_data} )")
        tdSql.execute(
            f"insert into ct4 values ( {NOW - self.rows * int(TIME_STEP * 0.39)}, {null_data} )")

        tdSql.execute(
            f"insert into {NTBNAME} values ( {NOW + int(TIME_STEP * 1.2)}, {null_data} )")
        tdSql.execute(
            f"insert into {NTBNAME} values ( {NOW - (self.rows + 1) * int(TIME_STEP * 1.2)}, {null_data} )")
        tdSql.execute(
            f"insert into {NTBNAME} values ( {NOW - self.rows * int(TIME_STEP * 0.59)}, {null_data} )")
C
cpwu 已提交
528

C
cpwu 已提交
529 530
    def run(self):
        self.rows = 10
C
cpwu 已提交
531

C
cpwu 已提交
532
        tdLog.printNoPrefix("==========step0:all check")
C
cpwu 已提交
533

C
cpwu 已提交
534 535 536 537 538
        tdLog.printNoPrefix("==========step1:create table in normal database")
        tdSql.prepare()
        self.__create_tb()
        self.__insert_data()
        self.all_test()
C
cpwu 已提交
539

C
cpwu 已提交
540 541
        tdDnodes.stop(1)
        tdDnodes.start(1)
C
cpwu 已提交
542

C
cpwu 已提交
543 544
        tdLog.printNoPrefix("==========step2:after wal, all check again ")
        self.all_test()
J
update  
jiacy-jcy 已提交
545

C
cpwu 已提交
546 547
    def stop(self):
        tdSql.close()
C
cpwu 已提交
548
        tdLog.success(f"{__file__} successfully executed")
C
cpwu 已提交
549 550 551


tdCases.addLinux(__file__, TDTestCase())
C
cpwu 已提交
552
tdCases.addWindows(__file__, TDTestCase())