1.3.1 De Snowflake-omgeving instellen
1.3.1.1 Uw account maken
Ga naar https://snowflake.com. Klik BEGINNEN VOOR VRIJ.
Ga uw details in en klik verdergaan.
Ga uw details in, kies uw wolkenleverancier en klik begonnen worden.
Ga uw details in of klik Overslaan (x2).
Dan zie je dit. Controleer uw e-mail en klik op het bevestigingsbericht dat naar u is verzonden.
Klik op de koppeling in het bevestigingsbericht om uw account te activeren en geef uw gebruikersnaam en wachtwoord op. Klik krijgen Begonnen. U zult deze gebruikersnaam en wachtwoord in de volgende oefening moeten gebruiken.
U wordt dan aangemeld bij Snowflake. Klik Overslaan voor nu.
1.3.1.2 Uw database maken
Ga naar Gegevens > Gegevensbestanden. Klik + Gegevensbestand.
Gebruik de naam CITISIGNAL voor uw gegevensbestand. Klik CREËREN.
1.3.1.3 Tabellen maken
U kunt nu uw tabellen maken in Snowflake. Hieronder vindt u scripts waarmee u uw tabellen kunt maken.
Tabel --aepUserLdap--_PERSONS
Klik + creëren, dan klik Lijst en klik dan Standaard.
Dan zie je dit. Kopieer de onderstaande query en plak deze in Snowflake. Zorg ervoor om het CITISIGNAAL gegevensbestand in de hoogste linkerhoek van uw scherm te selecteren alvorens uw lijst te creëren.
create or replace TABLE CITISIGNAL.PUBLIC.--aepUserLdap--_PERSONS (
PERSON_ID NUMBER(38,0) NOT NULL,
NAME VARCHAR(255),
AGE NUMBER(38,0),
EMAIL VARCHAR(255),
PHONE_NUMBER VARCHAR(20),
GENDER VARCHAR(10),
OCCUPATION VARCHAR(100),
ISMOBILESUB BOOLEAN,
primary key (PERSON_ID)
);
Klik creëren Lijst.
Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.
Tabel --aepUserLdap--_HOUSEHOLDS
Klik + creëren, dan klik Lijst en klik dan Standaard.
Dan zie je dit. Kopieer de onderstaande query en plak deze in Snowflake. Zorg ervoor om het CITISIGNAAL gegevensbestand in de hoogste linkerhoek van uw scherm te selecteren alvorens uw lijst te creëren.
create or replace TABLE CITISIGNAL.PUBLIC.--aepUserLdap--_HOUSEHOLDS (
HOUSEHOLD_ID NUMBER(38,0) NOT NULL,
ADDRESS VARCHAR(255),
CITY VARCHAR(100),
STATE VARCHAR(50),
POSTAL_CODE VARCHAR(20),
COUNTRY VARCHAR(100),
ISELIGIBLEFORFIBER BOOLEAN,
PRIMARY_PERSON_ID NUMBER(38,0),
ISFIBREENABLED BOOLEAN,
primary key (HOUSEHOLD_ID)
);
Klik creëren Lijst.
Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.
Tabel --aepUserLdap--_USERS
Klik + creëren, dan klik Lijst en klik dan Standaard.
Dan zie je dit. Kopieer de onderstaande query en plak deze in Snowflake. Zorg ervoor om het CITISIGNAAL gegevensbestand in de hoogste linkerhoek van uw scherm te selecteren alvorens uw lijst te creëren.
create or replace TABLE CITISIGNAL.PUBLIC.--aepUserLdap--_USERS (
USER_ID NUMBER(38,0) NOT NULL,
PERSON_ID NUMBER(38,0),
HOUSEHOLD_ID NUMBER(38,0),
primary key (USER_ID),
foreign key (PERSON_ID) references CITISIGNAL.PUBLIC.--aepUserLdap--_PERSONS(PERSON_ID),
foreign key (HOUSEHOLD_ID) references CITISIGNAL.PUBLIC.--aepUserLdap--_HOUSEHOLDS(HOUSEHOLD_ID)
);
Klik creëren Lijst.
Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.
Tabel --aepUserLdap--_MONTHLY_DATA_USAGE
Klik + creëren, dan klik Lijst en klik dan Standaard.
Dan zie je dit. Kopieer de onderstaande query en plak deze in Snowflake. Zorg ervoor om het CITISIGNAAL gegevensbestand in de hoogste linkerhoek van uw scherm te selecteren alvorens uw lijst te creëren.
create or replace TABLE CITISIGNAL.PUBLIC.--aepUserLdap--_MONTHLY_DATA_USAGE (
USAGE_ID NUMBER(38,0) NOT NULL autoincrement start 1 increment 1 noorder,
USER_ID NUMBER(38,0),
MONTH DATE,
DATA_USAGE_GB NUMBER(10,2),
primary key (USAGE_ID)
);
Klik creëren Lijst.
Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.
Tabel --aepUserLdap--_MOBILE_DATA_USAGE
Klik + creëren, dan klik Lijst en klik dan Standaard.
Dan zie je dit. Kopieer de onderstaande query en plak deze in Snowflake. Zorg ervoor om het CITISIGNAAL gegevensbestand in de hoogste linkerhoek van uw scherm te selecteren alvorens uw lijst te creëren.
create or replace TABLE CITISIGNAL.PUBLIC.--aepUserLdap--_MOBILE_DATA_USAGE (
USAGE_ID NUMBER(38,0) NOT NULL autoincrement start 1 increment 1 noorder,
USER_ID NUMBER(38,0),
DATE DATE,
TIME TIME(9),
APP_NAME VARCHAR(255),
DATA_USAGE_MB NUMBER(10,2),
NETWORK_TYPE VARCHAR(50),
DEVICE_TYPE VARCHAR(50),
COUNTRY_CODE VARCHAR(10),
primary key (USAGE_ID)
);
Klik creëren Lijst.
Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.
Alle tabellen worden nu gemaakt.
1.3.1.4 Gegevens van de steekproef
U kunt nu voorbeeldgegevens in uw database laden.
Klik + creëren en selecteer dan SQL Werkblad.
Dan zou u het volgende moeten hebben:
Kopieer de onderstaande query en plak deze in het Snowflake-werkblad.
USE SCHEMA CITISIGNAL.PUBLIC;
/*
- HELPER FUNCTIONS
Simplifies SQL queries to fetch random/calculated data.
*/
CREATE OR REPLACE FUNCTION --aepUserLdap--_RANDOM_NAME(NAME_TYPE STRING)
RETURNS STRING
LANGUAGE JAVASCRIPT
AS $$
var FIRST_NAMES = ['Colly','Aubert','Berkeley','Debra','Caressa','Van','Gerome','Romonda','Clywd','Noemi','Heather','Benji','Gwenore','Robinson','Kathye','Roanne','Ainsley','Far','Chrissy','Adelina','Joseito','Shelbi','Stafani','Tabatha','Beverie','Constancia','Shalna','Ryan','Den','Iorgos','Monique','Becka','Justinian','Raimondo','Had','Noami','Karie','Rubin','Culver','Claudine','Petronilla','Frayda','Ketty','Rafa','Marlane','Jimmy','Ricoriki','Alfie','Velma','Dame','Ham','Westley','Ad','Nathan','Kris','Reba','Kort','Owen','Reynard','Gabie','Sandy','Evangelin','Sidonnie','Garrek','Uta','Morganica','Fannie','Glynnis','Denyse','Sharyl','Bard','Gillian','Martguerita','Catrina','Kameko','Flo','Gregory','Neille','Ninnette','Pamella','Riccardo','Georgi','Martainn','Dona','Frasco','Cordelie','Chloette','Rosette','Brena','Avictor','Webster','Elianora','Meridith','Jacky','Jena','Loise','Charmine','Adela','Letisha','Lyell','Tyrus','Eugenio','Bancroft','Quintus','Estelle','Bourke','Dick','Emmaline','Base','Tarrance','Baryram','Roldan','Holt','Silvia','Bonny','Fidelia','Gregor','Fran','Lloyd','Ann','Granny','Hali','Gusella','Misti','Cristobal','Seward','Myrwyn','Nani','Jaclin','Dorri','Denney','Ole','Maxy','Lorrin','Huey','Celle','Nixie','Rollins','Ethan','Staffard','Ynez','Galen','Gradeigh','Quinn','Liesa','Gustave','Janaya','Winthrop','Leonard','Matti','Pavel','Cyrillus','Jecho','Nicola','Misha','Locke','Ethyl','Caterina','Charles','Lewes','Guntar','Raoul','Gallagher','Melamie','Corney','Matty','Jocko','Faina','Sherlocke','Dermot','Bret','Elwood','Tootsie','Alissa','Arabela','Carolin','Christiane','Patty','Konstantin','Perri','Orrin','Graehme','Tallie','Kaiser','Camila','Ailyn','Myranda','Bertrand','Danna','Jeramie','Jillane','Tadeas','Kiel','Corey','Tedda','Jason','Bailey','Vinny','Rafael','Damon','Binky','Etan','Mike','Othella','Karissa','Adler','Gusti','Allix','Moira','Merrie','Elane','Krystle','Shep','Glyn','Yance','Anna-diane','Janene','Konstantine','Luciano','Beltran','Jamil','Shermie','Lazarus','Brewster','Brodie','Fidel','Quill','Dimitry','Michel','Daven','Carlin','Monroe','Cicily','Danny','Bentlee','Berta','Nari','Odo','Carleton','Vivianne','Lita','Carmencita','Sharia','Kaile','Brnaba','Corinna','Juan','Immanuel','Helen-elizabeth','Jacklin','Jefferey','Malanie','Skipton','Farr','Travus','Penny','Miles','Victoir','Darryl','Sheeree','Gabriel','Gilbert','Abba','Keefe','Rozalie','Amos','Tamqrah','Raddy','Allene','Boyce','Delano','Avigdor','Robenia','Rafi','Felicle','Cart','Bendick','Tremayne','Arlee','Jennette','Ty','Gare','Cornelle','Rand','Annissa','Lyn','Zebedee','Garek','Colleen','Tiena','Stacee','Gil','Chance','Killy','Bobine','Kahlil','Mac','Rowland','Lorine','Leoine','Booth','Karalynn','Hortensia','Randolph','Leo','Boyd','Ulberto','Mariquilla','Giulietta','Elga','Louisette','Leeanne','Rafe','Esme','Maddalena','David','Randie','Ianthe','Mead','Carlotta','Hasty','Dagmar','Drucy','Kingsley','Madeleine','Jarad','Micah','Sylvester','Ingra','Johannes','Harold','Rania','Friederike','Brandy','Sheffield','Dov','Jerrold','Rosemary','Reade','Morissa','Niven','Ruperta','Dacia','Allegra','Floyd','Bill','Sheila','Faunie','Devland','Brice','Saunderson','Jodi','Lane','Ray','Bondon','Daria','Tommie','Nealon','Charlena','Ivy','Evin','Judon','Wallace','Burch','Novelia','Aleen','Farlee','Erika','Isidora','Jessa','Lydon','Cass','Tandie','Giana','Patrica','Zacharie','Boycie','Tana','Madlin','Tildi','Keriann','Maxim','Vikki','Starlene','Sarine','Bennett','Mariette','Charmion','Binny','Shelton','Kristo','Micky','Bear','Garvin','Grady','Fay','Jane','Jeremie','Diandra','Branden','Franni','Leontine','Mendel','Noella','Leupold','Worthington','Melantha','Saul','Sunny','Marleen','Pryce','Lucy','Tabor','Anjela','Lulu','Juana','Wesley','Virginie','Candide','Sandye','Ronni','Ilyssa','Modesta','Dannie','Adena','Hildagarde','Rubetta','Joelynn','Car','Danyette','Kelsi','Loy','Kessiah','Karol','Evita','Neal','Jamey','Georgeta','Gino','Pammi','Jobina','Elston','Ayn','Price','Agnesse','Sarah','Lennie','Xenia','Jakie','Joellyn','North','Korney','Adrian','Zsazsa','Clarisse','Cad','Myrilla','Gill','Uri','Brannon','Meriel','Maryrose','Colet','Sheelah','Sande','Palmer','Ivar','Nomi','Corabelle','Warde','Morton','Homer','Eleanora','Kimmi','Ginelle','Rochella','Neilla','Amelita','Kevon','Risa','Karlyn','Garrott','Clovis','Foss','Cassius','Gerardo','Donall','Shawn','Jan','Gay','Angel','Datha','Domenic','Vonni','Mannie','Faye','Shane','Grove','Annabelle','Anita','Jeramey','Hurleigh','Ingelbert','Rhea','Chaddie','Tam','Lorry','Fedora','Ilsa','Jeannie','Geri','Lillian','Derrick','Rog','Rosella','Kirsten','Gonzales','Chuck','Ody','Dexter','Jerrylee','Jarrad','Wilmette','Amerigo','Vinnie','Urbano','Inigo','Rose','Teador','Burton','Bird','Bud','Jacki','Alberta','Felipe','Shadow','Judi','Rockey','Trueman','Freeland','Leela','Aurthur','Boot','Bucky','Anetta','Rhiamon','Lorna','Yule','Bary','Magdalene','Kalie','Robinett','Erasmus','Kellen','Reese','Jolie','Ruprecht','Sam','Shirlee','Jessie','Quinton','Shelagh','Blair','Debbi','Concordia','Bent','Brady','Carmen','Dionis','Skipp','De witt','Bastian','Napoleon','Cordie','Flor','Frannie','Carlye','Bondie','Anestassia','Andre','Mauricio','Bobbee','Hastings','Prudy','Willie','Geordie','Alphonso','Mamie','Casi','Sterne','Shelli','Hill','Jaymee','Harmonia','Brita','Charil','Zeb','Ekaterina','Ailis','Barde','Ellen','Hersch','Shae','Ronica','Gaultiero','Lissie','Alanah','Matt','Erie','Domenico','Free','Cly','Libbi','Mason','Terese','Helena','Brittan','Cyrille','Wells','Birk','Nessie','Kalila','Bel','Bartholomeo','Hinze','Faythe','Midge','Alaine','Wilmar','Sawyer','Karrah','Rabi','Jervis','Charla','Maryanne','Leola','Beckie','Thacher','Staci','Johnny','Melvyn','Carrie','Micki','Armin','Brooke','Valdemar','Halette','Malina','Haydon','Katusha','Ferrel','Sidnee','Shirleen','Forest','Magdalena','Lillis','Lock','Dominik','Vernen','Lib','Giordano','Jareb','Town','Doris','Chevalier','Arte','Smith','Carlee','Davine','Beaufort','Corbin','Janeva','Spencer','Melicent','Alfy','Emerson','Gerladina','Margo','Elyssa','Tyler','Dru','Care','Kirk','Lambert','Julietta','Brett','Lida','Cody','Kass','Dalenna','Maud','Garrick','Broderick','Darill','Maia','Reed','Lyndel','Tremaine','Angy','Eldredge','Mara','Brien','Nancey','Carmita','Siouxie','Winslow','Ezra','Robyn','Pearce','Hussein','Zacharia','Bernie','Darb','Truman','Felisha','Seth','Nikita','Milo','Rivi','Krisha','Adlai','Ursula','Korey','Valencia','Randene','Anya','Aimil','Zulema','Aundrea','Yoshiko','Adelaide','Berni','Nessa','Alys','Evyn','Fernanda','Linus','Eugine','Mareah','Maryl','Dolley','Debora','Sonny','Isac','Kerrill','Hershel','Berti','Fairfax','Guinna','Randee','Brantley','Mariann','Kaela','Lamond','Vasili','Chancey','Isidro','Amabel','Liane','Nikkie','Aldus','Alonso','Louis','Kimbell','Cami','Hanni','Morie','Ceil','Farrand','Romeo','Flint','Meaghan','Marquita','Lucienne','Terri','Rubie','Garnette','Fawn','Victor','Nikolaos','Aurore','Sly','Archy','Lazaro','Valerie','Prent','Mira','Rriocard','Felice','Hastie','Mel','Lenard','Renee','Paolina','Murdoch','Bellanca','Merlina','Clary','Izaak','Cherida','Uriel','Megen','Susette','Karney','Philipa','Karna','Charmain','Jennine','Jorrie','Gawain','Lishe','Darnell','Blake','Lina','Thorstein','Sydelle','Lind','Wandie','Pierrette','Johnath','Dianna','Wallis','Lemmie','Maddi','Ardra','Akim','Burg','Patsy','Alverta','Cristina','Chloris','Aindrea','Vi','Boigie','Harman','Stanfield','Hilario','Tova','Vida','Smitty','Arman','Ewell','Cos','Sibbie','Corri','Laurence','Marion','Doralynne','Dominique','Hailey','Rem','Doe','Cthrine','Dina','Nola','Pepito','Fredelia','Wileen','Thane','Christoffer','Uriah','Caldwell','Claudio','Lucho','Darby','Papagena','Hy','Lindsy','Gena','Natale','Dwight','Clea','Molly','Brandea','Gaby','Stesha','Etty','Margarethe','Grace','Melisande','Cathrin','Khalil','Jasmina','Niccolo','Maurise','Elana','Leonie','Chadd','Justina','Lindon','Ofilia','Cooper','Grantham','Georgetta','Jacobo','Cinderella','Julian','Monte','Sawyere','Saunders','Josi','Salvatore','Mylo','Missie','Jaquelyn','Orsola','Gareth','Denver','Bobby','Naoma','Gretal','Reid','Alexine','Rodrick','Rori','Rudyard','Norean','Bobinette','Lynett','Ronny','Theresina','Anabelle','Alana','Mahala','Joletta','Vonnie','Jordan','Adella','Ermentrude','Garrard','Helge','Raynor','Clevie','Sibby','Clementine','Michelina','Rosene','Peyton','Malchy','Rosalie','Rudie','Dominga','Berte','Phebe','Chrysa','Doroteya','Suzanna','Bren','Lionel','Clarke','Nils','Bridgette','Alysa','Abigail','Augustine','Zollie','Barnie','Veda','Row','Anet','Ryon','Cleopatra','Alejandro','Alfonse','Janos','Glynn','Andrei','Tannie','Latashia','Gertie','Daniele','Damien','Samson','Rockie','Theobald','Delainey','Itch','Charlie','Inglis','Florence','Kay','Fonz','Ezekiel','Max','Ruth','Nichols','Nellie','Reena','Candace','Beatrix','Templeton','Aloin','Mitchel','Noell','Lorinda','Alley','Gard','Sybila','Tressa','Nanny'];
var LAST_NAMES = ['Fayer','MacKereth','Boddington','Balassi','Trustrie','Casin','Spry','Dashkovich','Hopkyns','Tant','Birkenshaw','Grube','Ricoald','Gudd','Chesnut','Eilers','Cadwell','Frayn','Filpi','Skypp','Medhurst','Bidgod','Giovannelli','Annon','Benedicte','Killigrew','Oldfield','Donwell','Charter','Rainsden','Farrants','Boniface','Chillingworth','Langstone','Cubuzzi','Hubner','Peye','Spada','Dwelly','Krysztofiak','Brazener','Kingman','Ceyssen','Wheelwright','McGarry','Novakovic','Gietz','Blenkharn','Mesnard','Twiddy','McPaik','Wonter','Cabrara','Catterson','De Bruyn','Charke','Salan','Rayne','Pollington','Gascoyen','Giannazzi','Peggs','Bigly','Connow','Noddings','Tuminelli','Puleston','Meere','Palumbo','Veevers','Matyushkin','Austin','Winsom','Yacobsohn','Flawn','Stanlock','Rookledge','Sherewood','Penhall','Barcroft','Menat','Driffill','Egarr','Funnell','Motte','Hender','Aron','Hutten','Borris','McGeorge','Perillo','Burdon','Reina','Fillingham','Errol','Winger','Morlon','Isaacson','Senogles','Clewes','Lafee','Jasik','Kernoghan','Newbatt','Mariault','Walls','Jubert','Bunclark','Perryman','Brough','Aickin','Dumphries','Mauger','Dabinett','Donizeau','Oakwell','Coppo','Rodder','Grigoriev','Veitch','Campo','Stoddard','Ferruzzi','MacAfee','Grindle','Mussotti','Hebburn','Cornils','Thornton-Dewhirst','Spofforth','Alyonov','Harrema','Yarnton','Stinchcombe','Spafford','Smout','Schlagman','Lethibridge','MacGuigan','Fuke','Lohrensen','Leat','Hedgeman','Jachimiak','Lockey','Cuolahan','Aitcheson','Kelemen','Kneaphsey','Housaman','Maffezzoli','Reay','Haggleton','Bavester','Barratt','Albrecht','Pattillo','Surplice','Adams','Shone','Rigglesford','Pinxton','Hexham','Calafato','Hillin','O\'Lone','Buntain','Masey','Thunderchief','Derkes','Kenwood','Gleave','Garretson','Gorghetto','Studdeard','Malam','Haquin','Allsebrook','Bethell','Diver','Grancher','Whittaker','Balasin','Copcote','Bartelli','Selman','Matousek','De Vaan','Hoolaghan','Elcoat','Medforth','Mullineux','Parminter','Elliott','Sherland','Kivelhan','Toplin','Cobello','Helsdon','Burberye','Jeske','Petrowsky','Eslinger','Challens','Senyard','Bucklee','Vidloc','Goldup','Rousel','Pendleton','Husset','Tonbridge','Dufour','Lisamore','Sinfield','Southall','Penna','Yeliashev','Edsall','Jiruca','Cunnington','Rathe','Outhwaite','Pooke','Quinnelly','Roja','Krysztofowicz','Iglesia','Mawd','Sive','Whife','Wymer','Gravey','Befroy','Shitliffe','Pierro','Ginnane','McFayden','Creaven','Dutnall','Garfield','Bilton','Bramwell','Ram','Sheldrake','Pittendreigh','Sondon','Larret','Navein','Rames','Trobridge','Bakhrushkin','Leer','Garratt','Culshaw','Jayme','Croisdall','Cooling','Cavy','Grandisson','Minear','Spoward','Isakson','Normabell','Klimpt','Cheeke','Peeke-Vout','Lippitt','Wason','Beyer','MacIlhagga','Sterley','Arguile','Ingamells','Beininck','O\'Connell','Mulles','Owbrick','Jerzycowski','Ferreres','Cribbin','Bodill','Folke','McDonnell','Whittles','Gelletly','Merali','Karolczyk','Pes','Borsnall','Wakefield','Dulake','Risdale','Garvagh','Robiot','Klarzynski','O\'Brien','Cordeix','Keling','Camden','Bellay','Pimlett','Vodden','Merfin','Longland','Cometson','Menel','O\'Connor','Swallow','Challinor','Dalyell','Huscroft','Sherlock','Greneham','Tizard','Hetterich','Ethersey','Faragan','Lorkin','Mewis','Gwyneth','Mansion','Crook','Aloshkin','Vondrasek','Went','Vittery','Scarman','Tynan','Alessandrucci','Housam','Pluck','Clever','Ritchard','Dunham','Domnin','Bollon','Bavister','Sketcher','Conyers','Chaize','Fernanando','Minchell','Berni','Barrim','Arnaudi','Buesnel','Belcham','Poolman','Lovie','Dorset','Thaller','Dellenty','Sidwick','Gawne','Butteris','Sawl','Malley','Thomason','Poundsford','Sumner','Minchinton','Pietersen','Hrynczyk','Narrie','Palfreman','Blees','Galia','Fredi','Endricci','Beard','Penbarthy','Sparkes','Dilks','Piesing','Lerhinan','Cattroll','Durnell','Coppard','Littlecote','Grant','Dionisetti','Mager','Gynn','Ellett','Warrener','Ahrend','Strasse','Diben','Shalloe','Radwell','Shingles','Benton','Lutman','Heppenspall','Firpo','Marioneau','Rubenov','Seyler','Woodley','Dowbekin','Nason','Brownscombe','Gronou','Cluckie','Moreside','Hirsch','Raffon','Girardet','McDermid','Fenwick','Layfield','Dabernott','Doyle','Burborough','McLewd','Jevons','James','McCoish','Chiplin','Dalbey','Bodiam','Morforth','Rickaert','Taylour','Daglish','Teasell','Carlsson','Kennerley','Provost','Harome','Battram','Howels','Brunt','Abry','Wiltshier','Astill','Wither','Schwander','Kleinsmuntz','Clausner','Kroon','Pitcock','Lerven','Lorens','Jupe','Connechie','Dennington','Leehane','Dohmer','Townley','Michelet','Gorrick','Varney','Allin','Agget','Lown','Sterke','Chatain','Jurczik','Kemwal','Houldcroft','Le febre','Smerdon','Alderman','Gimber','Kilgrew','Berriball','Sparshatt','Plester','Bartoleyn','Kelmere','Doelle','Jaimez','Trodden','Sandiland','Treneer','Iannazzi','Danihel','Gallyon','Teasdale-Markie','Spinney','Colnet','Bugg','Cochran','Schimoni','Lakey','Nuscha','Cottingham','Arnaudin','Dory','Tejada','Plewman','Diego','Swarbrick','Wilse','Axtonne','Armytage','Kinzel','Tomankiewicz','Schanke','Chitson','Lange','Totaro','Clausen-Thue','Barham','Aikin','McIlmorie','Sains','Burgan','Nanelli','Niblock','Matthewson','Dovidaitis','Claremont','Frostdicke','Ilyunin','Wright','Padbery','Lightwing','Warden','Higgonet','Worsnup','Gergolet','Sellack','Standell','Iddens','Jeandeau','Renforth','Tanti','Henzley','Goby','Cornels','Hazeldean','Pringell','Holwell','Picken','Sima','Puddicombe','d\'Elboux','Muscott','Seville','MacAughtrie','Merton','Empleton','Dadd','Lawrenz','Vaneschi','Witheford','Walworth','Dodell','Kopke','Lauritzen','Rudwell','Klyner','Franceschielli','Gilbank','Birkbeck','Rivallant','Sweeney','Thurston','Strethill','Franklyn','Adamovicz','Glaum','Brockman','Basso','Kimmings','Rockcliffe','Alphege','Greensall','Canario','Brickett','Eacle','Woller','Weond','McKeaveney','Portlock','Piggott','Davidge','Schrieves','Reubbens','Woodrup','McGowan','Romme','Bohlens','Standfield','Poacher','Mateiko','Bezzant','Copin','male','Cereceres','Senn','Ganter','Allberry','Ife','Uvedale','Pretsell','Maryman','Folcarelli','McAuliffe','Wansbury','Glasby','Ingle','Culham','Line','Cristol','Stronghill','Medlin','Rowledge','Dowdeswell','Conneely','Halhead','Vivien','Winstone','Guitt','Walbridge','Escala','Anton','Bernardoux','MacGrath','Fieldstone','Hearl','Roels','Gallandre','Bauldrey','Keningham','Blything','Fontin','O\'Shea','Escreet','Kennelly','Cushion','Randalston','Ravilus','Worvell','Gulliver','Micklewright','Voas','Grimmert','Ashton','Horsewood','Scrivens','Gammel','Casado','Juniper','Shacklady','Hacard','Duddell','Stitwell','Kelle','Richemont','Mendes','Gerauld','Bowcher','Fischer','Snare','Grayham','Selvester','Babbe','Coalburn','Denzey','Featherstone','Carillo','Kinvan','Vater','Garrish','Keeltagh','Belleny','Jerzak','Loveredge','MacMichael','McAlinion','Pykett','Tendahl','Cackett','Rainforth','Closs','Mellish','Ronayne','Gatch','Moynham','Talman','Stow','Gleed','Apted','Swannie','Flahy','Bugdall','Clowes','Staniford','Sauvage','Yates','Pirri','Fairebrother','Townsend','Vasilyevski','Downey','Crotch','Toffano','Harefoot','Fownes','Theurer','Parffrey','Hargrave','Dorgon','Saben','Inwood','Hars','Juorio','Darcey','Blasi','Toft','Rodenborch','Pickthall','Chastelain','Brettoner','Goodie','Fransewich','Maplethorpe','Bierton','Minchella','Keyse','Moody','Pietz','Petroff','Ismirnioglou','Somersett','Byne','Lathleiffure','Nield','Burbudge','Wibrew','Goldney','Van der Kruijs','Nutter','Giacopetti','Dufore','Blackhall','Hallas','Cullabine','Newling','Lengthorn','Blandford','Alred','Phillcock','Twinbrow','Ipplett','Bluck','Minchin','McShea','Flecknoe','Renehan','Sproat','Lujan','Deerness','Vaines','Aldins','Bewick','Lambrook','Kaman','Mathias','Rampley','Kops','Jeanneau','Grebner','Comizzoli','Jossum','Netherwood','Edgeson','Fattorini','Tunnadine','Stoppe','Pasquale','Node','Kleinstein','Teather','Ledwich','Etty','Gownge','Blyth','Thies','Beldan','Durber','Giuron','Tether','Callingham','Murden','Sarrell','Licciardiello','Dommersen','Steuart','Saxton','Gobbett','Halleybone','Duplan','Novak','Burnip','Keri','Redparth','Body','Sollam','Powlesland','Waghorn','Geeson','Kidde','Magill','Duberry','Godding','Gudgion','Burney','Lean','Perigoe','Shearmur','Doblin','Deniscke','Orring','Jull','Berardt','Stookes','Thiem','Trevain','D\'Elias','Guilloud','Chasteau','Oboy','Klemz','Savidge','Nation','Silburn','Coldridge','Paskerful','Bicknell','Handke','Aldwick','Ostridge','Pascho','Brotherick','Millican','O\'Donnelly','Serginson','Gosse','Filyukov','Moyles','Rembrant','Poolton','Jeacock','Totton','Burkart','Charles','Storah','Newark','Baden','Manifold','Meacher','Tolomei','Andrick','Dyke','Bordis','Neno','Murray','Calrow','Leicester','Durek','Pilkington','Deme','Francescuccio','Leftridge','Rubel','Loren','McCay','Bellard','d\'Eye','Gilder','Krahl','Corbyn','Leades','Bewly','Adamovsky','Yeowell','Jeacocke','Gaitung','Maffia','Delahunty','Liddicoat','Durward','Solomonides','Bidewell','Capstake','Cutajar','Erwin','Remington','Coole','Birkinshaw','Dewdeny','Artois','Dunkley','Dungee','Gait','Minton','Cowherd','Rattenbury','Suche','Comfort','Manuaud','Gut','Siemandl','Aleshintsev','Baty','Matushevich','Bernardin','Stoaks','Lanmeid','O\'Concannon','Riping','Grand','Rivel','Middell','Sibbons','Mouser','Dudenie','Horrigan','McPhelimy','Heintsch','Sabater','Genn','Brydon','Merrell','Maudling','Purseglove','Gisbey','Wormleighton','Linge','Daniel','Owlner','Kohrsen','Ray','Coyett','Meir','Moyser','Mizen','Speechly','Barck','Gossage','De la croix','Shute','Woodham','Gedge','Biermatowicz','Whitchurch','Curmi','Chave','Bingham','Muncey','Giles','Yeude','Dissman','Mariet','Kintish','MacPeake','Atkinson','Gaw','Tryhorn','Rendle','Everil','Milan','Tyler','MacIntosh','Pridmore','Shyres','Aucock','Gott','Arnow','Highton','Richardes','Yateman','Gergely','Westover','Ellerker','Whitmore','Robak','Say','Bisatt','Doumerque','Tommaseo','Vasyunin','Colbourne','Marrow','Paulson','Hathorn','Hartman','Lyman','Leband','Glowinski','Beccles','Kildale','Noblett','Gobourn','Kissock'];
if (NAME_TYPE.toLowerCase().trim() === 'first')
return FIRST_NAMES[(Math.floor(Math.random() * FIRST_NAMES.length))];
if (NAME_TYPE.toLowerCase().trim() === 'last')
return LAST_NAMES[(Math.floor(Math.random() * LAST_NAMES.length))];
return FIRST_NAMES[(Math.floor(Math.random() * FIRST_NAMES.length))] + ' ' + LAST_NAMES[(Math.floor(Math.random() * LAST_NAMES.length))];
$$;
CREATE OR REPLACE FUNCTION --aepUserLdap--_RANDOM_ADDRESS(LOC_TYPE STRING, CITY STRING)
RETURNS STRING
LANGUAGE JAVASCRIPT
AS $$
var LOCATIONS = [
{ "city": "Pune", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "89847" },
{ "city": "Los Angeles", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "81280" },
{ "city": "San Francisco", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "99840" },
{ "city": "Foshan", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "21579" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "60712" },
{ "city": "Foshan", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "52870" },
{ "city": "Mumbai", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "31893" },
{ "city": "Paris", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "50967" },
{ "city": "Shinjuku", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "75700" },
{ "city": "Los Angeles", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "88979" },
{ "city": "Shenzhen", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "39336" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "64890" },
{ "city": "Mumbai", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "80106" },
{ "city": "Augsburg", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "82025" },
{ "city": "Houston", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "56054" },
{ "city": "Augsburg", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "79325" },
{ "city": "New York", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "23525" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "32643" },
{ "city": "Houston", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "20728" },
{ "city": "Versailles", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "94255" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "24381" },
{ "city": "San Francisco", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "35891" },
{ "city": "Shinjuku", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "57425" },
{ "city": "Chiyoda", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "20908" },
{ "city": "Versailles", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "54605" },
{ "city": "New York", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "83120" },
{ "city": "Austin", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "20947" },
{ "city": "Munich", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "43801" },
{ "city": "Foshan", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "98660" },
{ "city": "Paris", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "52348" },
{ "city": "Augsburg", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "30496" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "57780" },
{ "city": "Dallas", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "86819" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "55787" },
{ "city": "Versailles", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "98976" },
{ "city": "Mumbai", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "11270" },
{ "city": "San Francisco", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "95082" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "78474" },
{ "city": "Buffalo", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "69713" },
{ "city": "Manchester", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "63192" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "37839" },
{ "city": "Nuremberg", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "30748" },
{ "city": "Houston", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "78363" },
{ "city": "Versailles", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "94358" },
{ "city": "Shenzhen", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "18200" },
{ "city": "Mumbai", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "12997" },
{ "city": "Nagpur", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "50806" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "53856" },
{ "city": "Nagpur", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "66905" },
{ "city": "Nuremberg", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "18334" },
{ "city": "Versailles", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "84015" },
{ "city": "Munich", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "43580" },
{ "city": "Albany", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "11824" },
{ "city": "Chiyoda", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "73129" },
{ "city": "London", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "39677" },
{ "city": "Chiyoda", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "50078" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "45942" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "47718" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "22691" },
{ "city": "Shinjuku", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "29946" },
{ "city": "Albany", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "29990" },
{ "city": "London", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "32487" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "92014" },
{ "city": "London", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "37411" },
{ "city": "Albany", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "64737" },
{ "city": "London", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "16935" },
{ "city": "Shenzhen", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "71090" },
{ "city": "Los Angeles", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "41428" },
{ "city": "Los Angeles", "state": "California", "statecode": "CA", "country": "United States", "countrycode": "US", "postalcode": "75721" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "63059" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "38026" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "80720" },
{ "city": "Nagpur", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "75033" },
{ "city": "Chiyoda", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "78620" },
{ "city": "Pune", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "43180" },
{ "city": "Munich", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "91340" },
{ "city": "Pune", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "64069" },
{ "city": "Foshan", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "78737" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "85770" },
{ "city": "Chiyoda", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "60044" },
{ "city": "Dallas", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "77590" },
{ "city": "Munich", "state": "Bavaria", "statecode": "BY", "country": "Germany", "countrycode": "DE", "postalcode": "66003" },
{ "city": "Dallas", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "48590" },
{ "city": "Albany", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "53375" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "61355" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "10854" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "71714" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "98879" },
{ "city": "Buffalo", "state": "New York", "statecode": "NY", "country": "United States", "countrycode": "US", "postalcode": "49238" },
{ "city": "Pune", "state": "Maharashtra", "statecode": "MH", "country": "India", "countrycode": "IN", "postalcode": "97134" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "74784" },
{ "city": "Tokyo", "state": "Tokyo", "statecode": "TK", "country": "Japan", "countrycode": "JP", "postalcode": "89242" },
{ "city": "Guangzhou", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "80931" },
{ "city": "Birmingham", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "78054" },
{ "city": "Shenzhen", "state": "Guangdong", "statecode": "GD", "country": "China", "countrycode": "CN", "postalcode": "24361" },
{ "city": "Manchester", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "85786" },
{ "city": "Boulogne", "state": "\u00cele-de-France", "statecode": "IDF", "country": "France", "countrycode": "FR", "postalcode": "77298" },
{ "city": "Austin", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "47941" },
{ "city": "London", "state": "England", "statecode": "ENG", "country": "United Kingdom", "countrycode": "GB", "postalcode": "81595" },
{ "city": "Austin", "state": "Texas", "statecode": "TX", "country": "United States", "countrycode": "US", "postalcode": "12236"}
];
if (LOC_TYPE.toLowerCase().trim() === 'city')
return LOCATIONS[(Math.floor(Math.random() * LOCATIONS.length))]['city'];
if (LOC_TYPE.toLowerCase().trim() === 'state' && CITY) {
var selected_loc = LOCATIONS.filter(r => r.city===CITY);
return selected_loc[(Math.floor(Math.random() * selected_loc.length))]['state'];
}
if (LOC_TYPE.toLowerCase().trim() === 'statecode' && CITY) {
var selected_loc = LOCATIONS.filter(r => r.city===CITY);
return selected_loc[(Math.floor(Math.random() * selected_loc.length))]['statecode'];
}
if (LOC_TYPE.toLowerCase().trim() === 'country' && CITY) {
var selected_loc = LOCATIONS.filter(r => r.city===CITY);
return selected_loc[(Math.floor(Math.random() * selected_loc.length))]['country'];
}
if (LOC_TYPE.toLowerCase().trim() === 'countrycode' && CITY) {
var selected_loc = LOCATIONS.filter(r => r.city===CITY);
return selected_loc[(Math.floor(Math.random() * selected_loc.length))]['countrycode'];
}
if (LOC_TYPE.toLowerCase().trim() === 'postalcode' && CITY) {
var selected_loc = LOCATIONS.filter(r => r.city===CITY);
return selected_loc[(Math.floor(Math.random() * selected_loc.length))]['postalcode'];
}
return 'NOT AVAILABLE';
$$;
/*
- GENERATE DATA
Use the following queries to insert data into tables.
*/
INSERT INTO --aepUserLdap--_PERSONS (
person_id,
name,
age,
email,
phone_number,
gender,
occupation,
ismobilesub
)
SELECT person_id,
CONCAT(first_name, ' ', last_name) AS name,
age,
email,
phone_number,
gender,
occupation,
ismobilesub
FROM (
SELECT CAST(CONCAT(UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM())) AS NUMBER) AS person_id,
--aepUserLdap--_RANDOM_NAME('first') AS first_name,
--aepUserLdap--_RANDOM_NAME('last') AS last_name,
UNIFORM(20, 80, RANDOM()) AS age,
CONCAT(LOWER(first_name),'.',LOWER(last_name),'+',LEFT(MD5(RANDOM()), 5),'@emailsim.io') AS email,
CONCAT('+',UNIFORM(1, 999, RANDOM()),UNIFORM(100, 999, RANDOM()),UNIFORM(100, 999, RANDOM()),UNIFORM(1000, 9999, RANDOM())) AS phone_number,
ARRAY_CONSTRUCT('male', 'female', 'NA', NULL)[UNIFORM(0, 3, RANDOM())] AS gender,
ARRAY_CONSTRUCT('Chief Executive Officer', 'Marketing Manager', 'Software Developer', 'Financial Analyst', 'Product Manager', 'Human Resources Manager', 'Sales Executive', 'Operations Manager', 'Customer Service Representative', 'Graphic Designer', 'Business Development Manager', 'Supply Chain Analyst', 'Data Scientist', 'IT Support Specialist', 'Quality Assurance Engineer', 'Content Strategist', 'Project Manager', 'Accountant', 'Logistics Coordinator', 'Creative Director', 'Medical Assistant', 'Event Coordinator', 'UX/UI Designer', 'Digital Marketing Specialist', 'Corporate Trainer', 'Legal Advisor', 'Environmental Consultant', 'Public Relations Manager', 'Investment Analyst', 'Talent Acquisition Specialist', NULL)[UNIFORM(0, 30, RANDOM())] AS occupation,
ARRAY_CONSTRUCT(true, true, false, true, true, true, true, true, true, true)[UNIFORM(0, 9, RANDOM())] AS ismobilesub
FROM TABLE(GENERATOR(ROWCOUNT => 20000))
) vw;
-- Relationship with --aepUserLdap--_PERSONS as 1:1
-- Assuming data is available for 95% of Profiles.
-- You may choose to adjust the percentage OR remove `SAMPLE` clause, if you wish to include all Profiles.
INSERT INTO --aepUserLdap--_HOUSEHOLDS (
household_id,
address,
city,
state,
postal_code,
country,
iseligibleforfiber,
primary_person_id,
isfibreenabled
)
SELECT CAST(CONCAT(UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM())) AS NUMBER) AS household_id,
NULL AS address,
--aepUserLdap--_RANDOM_ADDRESS('city', null) AS city,
--aepUserLdap--_RANDOM_ADDRESS('state', city) AS state,
--aepUserLdap--_RANDOM_ADDRESS('postalCode', city) AS postal_code,
--aepUserLdap--_RANDOM_ADDRESS('country', city) AS country,
ARRAY_CONSTRUCT(true, true, false, true, true, true, true, true, true, true)[UNIFORM(0, 9, RANDOM())] AS iseligibleforfiber,
person_id,
CASE
WHEN iseligibleforfiber = true
THEN ARRAY_CONSTRUCT(true, true, false, true, true, true, true, true, true, true)[UNIFORM(0, 9, RANDOM())]
ELSE false
END AS isfibreenabled
FROM --aepUserLdap--_persons
SAMPLE (95);
-- Relationship with --aepUserLdap--_PERSONS as 1:N
-- Upto 4 users
-- Assuming data is available for 90% of Profiles.
-- You may choose to adjust the percentage OR remove `SAMPLE` clause, if you wish to include all Profiles.
INSERT INTO --aepUserLdap--_USERS (
user_id,
person_id,
household_id
)
SELECT CAST(CONCAT(UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM()),UNIFORM(1000, 9999, RANDOM())) AS NUMBER) AS user_id,
primary_person_id AS person_id,
household_id
FROM (
SELECT a.primary_person_id, a.household_id,
UNIFORM(1, 4, RANDOM()) AS repeater
FROM (SELECT primary_person_id, household_id FROM --aepUserLdap--_households SAMPLE (90)) a
) p,
(SELECT ROW_NUMBER() OVER(PARTITION BY NULL ORDER BY NULL) AS loops
FROM TABLE(GENERATOR(ROWCOUNT => 4))
) i
WHERE p.repeater >= i.loops;
-- Assuming relationship with --aepUserLdap--_USERS as 1:N
-- Assuming data is available for 95% of Profiles.
-- You may choose to adjust the percentage OR remove `SAMPLE` clause, if you wish to include all Profiles.
INSERT INTO --aepUserLdap--_MONTHLY_DATA_USAGE (
user_id,
month,
data_usage_gb
)
SELECT user_id,
DATEADD(day, -1*UNIFORM(0, 30, RANDOM()), CURRENT_TIMESTAMP)::DATE AS month,
UNIFORM(1, 10::NUMBER(10,2), RANDOM()) AS data_usage_gb
FROM (
SELECT a.user_id, a.person_id, a.household_id,
UNIFORM(1, 50, RANDOM()) AS repeater
FROM (SELECT user_id, person_id, household_id FROM --aepUserLdap--_users SAMPLE (95)) a
) p,
(SELECT ROW_NUMBER() OVER(PARTITION BY NULL ORDER BY NULL) AS loops
FROM TABLE(GENERATOR(ROWCOUNT => 50))
) i
WHERE p.repeater >= i.loops;
INSERT INTO --aepUserLdap--_MOBILE_DATA_USAGE (
user_id,
date,
time,
app_name,
data_usage_mb,
network_type,
device_type,
country_code
)
SELECT user_id,
DATEADD(day, -1*UNIFORM(0, 30, RANDOM()), CURRENT_TIMESTAMP)::DATE AS "date",
TO_CHAR(DATEADD('minute', UNIFORM(0, 1440, RANDOM()), "date"), 'HH24:MI:SS.FF9') AS "time",
ARRAY_CONSTRUCT('Facebook', 'Instagram', 'Snapchat', 'TikTok', 'YouTube', 'WhatsApp', 'Twitter', 'Spotify', 'Netflix', 'Amazon', 'Google Maps', 'Uber', 'Venmo', 'Gmail', 'Zoom', 'Cash App', 'Pinterest', 'LinkedIn', 'Disney+', 'Reddit')[UNIFORM(0, 19, RANDOM())] AS network_type,
UNIFORM(1, 5120::NUMBER(10,2), RANDOM()) AS data_usage_mb,
ARRAY_CONSTRUCT('2G', '3G', '4G', '5G', 'LTE', 'WiFi', '3G', '3G', '4G', '5G', '5G', '5G', '5G')[UNIFORM(0, 12, RANDOM())] AS network_type,
ARRAY_CONSTRUCT('Mobile', 'Tablet', 'TV', 'Watch', 'Mobile', 'Mobile', 'Mobile')[UNIFORM(0, 6, RANDOM())] AS device_type,
--aepUserLdap--_RANDOM_ADDRESS('countryCode', h.city) AS country_code
FROM (
SELECT a.user_id, a.person_id, a.household_id,
UNIFORM(1, 50, RANDOM()) AS repeater
FROM (SELECT user_id, person_id, household_id FROM --aepUserLdap--_users SAMPLE (95)) a
) p,
(SELECT ROW_NUMBER() OVER(PARTITION BY NULL ORDER BY NULL) AS loops
FROM TABLE(GENERATOR(ROWCOUNT => 50))
) i,
--aepUserLdap--_households h
WHERE p.repeater >= i.loops
AND p.household_id = h.household_id;
Dan moet je dit zien. Klik om de dropdown lijst te openen, en dan te selecteren in werking stellen allen om alle vragen uit te voeren.
Dit zal een paar minuten duren, waarna je dit zult zien.
Er zijn nu demo-gegevens geladen in uw Snowflake-database. U kunt de gegevens daar vrij bekijken door een tabel te openen
U hebt de installatie nu voltooid in Snowflake.
Volgende Stap: 1.3.2 leidt schema's, gegevensmodel en verbindingen