DocumentatieExperience PlatformUitgebreide technische zelfstudie

1.3.1 De Snowflake-omgeving instellen

Laatst bijgewerkt: 13 februari 2025

1.3.1.1 Uw account maken

Ga naar https://snowflake.com. Klik BEGINNEN VOOR VRIJ.

FAC

Ga uw details in en klik verdergaan.

FAC

Ga uw details in, kies uw wolkenleverancier en klik begonnen worden.

FAC

Ga uw details in of klik Overslaan (x2).

FAC

Dan zie je dit. Controleer uw e-mail en klik op het bevestigingsbericht dat naar u is verzonden.

FAC

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.

FAC

U wordt dan aangemeld bij Snowflake. Klik Overslaan voor nu.

FAC

1.3.1.2 Uw database maken

Ga naar Gegevens > Gegevensbestanden. Klik + Gegevensbestand.

FAC

Gebruik de naam CITISIGNAL voor uw gegevensbestand. Klik CREËREN.

FAC

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.

FAC

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.

FAC

Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.

FAC

Tabel --aepUserLdap--_HOUSEHOLDS

Klik + creëren, dan klik Lijst en klik dan Standaard.

FAC

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.

FAC

Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.

FAC

Tabel --aepUserLdap--_USERS

Klik + creëren, dan klik Lijst en klik dan Standaard.

FAC

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.

FAC

Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.

FAC

Tabel --aepUserLdap--_MONTHLY_DATA_USAGE

Klik + creëren, dan klik Lijst en klik dan Standaard.

FAC

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.

FAC

Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.

FAC

Tabel --aepUserLdap--_MOBILE_DATA_USAGE

Klik + creëren, dan klik Lijst en klik dan Standaard.

FAC

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.

FAC

Zodra het manuscript in werking is gesteld, kunt u uw lijst onder Gegevensbestanden > CITISIGNAL > PUBLIC vinden.

FAC

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.

FAC

Dan zou u het volgende moeten hebben:

FAC

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.

FAC

Dit zal een paar minuten duren, waarna je dit zult zien.

FAC

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.

FAC

Volgende Stap: 1.3.2 leidt schema's, gegevensmodel en verbindingen

Terug naar module 1.3

Terug naar alle modules

recommendation-more-help
aeafc5b5-cd01-4e88-8d47-d76c18d7d349