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Become a super modeler

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Become a super modeler
Patrick McFadin @PatrickMcFadin
Senior Solutions Architect
DataStax
Thursday, May 16, 13

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Become a super modeler
Patrick McFadin @PatrickMcFadin
Senior Solutions Architect
DataStax
Thursday, May 16, 13

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... the saga continues.
This is the second part of a data modeling series
Part 1:The data model is dead, long live the dat...

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Become a super modeler

  1. 1. Become a super modeler Patrick McFadin @PatrickMcFadin Senior Solutions Architect DataStax Thursday, May 16, 13
  2. 2. Become a super modeler Patrick McFadin @PatrickMcFadin Senior Solutions Architect DataStax Thursday, May 16, 13
  3. 3. ... the saga continues. This is the second part of a data modeling series Part 1:The data model is dead, long live the data model! • Relational -> Cassandra topics • Basic entity modeling • one-to-many • many-to-many •Transaction like modeling Thursday, May 16, 13
  4. 4. Becoming a super modeler • Data model is the key to happiness • Successful deployments depend on it • Not just a Cassandra problem... 3 Thursday, May 16, 13
  5. 5. Time series - Basic CREATE TABLE temperature ( weatherstation_id text, event_time timestamp, temperature text, PRIMARY KEY (weatherstation_id,event_time) ); • Weather station collects regular temperature • Each weather station is a row • Each event is a new column in a wide row Thursday, May 16, 13
  6. 6. Time series - Super! • Every second? Row would be too big • Order by access pattern • Partition the rows by day - One weather station by day 5 CREATE TABLE temperature_by_day ( weatherstation_id text, date text, event_time timestamp, temperature text, PRIMARY KEY ((weatherstation_id,date),event_time) ) WITH CLUSTERING ORDER BY (event_time DESC); Compound row key Reverse sort: Last event, first on row Thursday, May 16, 13
  7. 7. User model - basic • Plain ole entity table • One primary key • Booooring 6 CREATE TABLE users ( username text PRIMARY KEY, first_name text, last_name text, address1 text, city text, postal_code text, last_login timestamp ); Thursday, May 16, 13
  8. 8. Cassandra feature - Collections • Collections give you three types: - Set - List - Map • Each allow for dynamic updates • Fully supported in CQL 3 • Requires serialization so don’t go crazy 7 CREATE TABLE collections_example ( ! id int PRIMARY KEY, ! set_example set<text>, ! list_example list<text>, ! map_example map<int,text> ); Thursday, May 16, 13
  9. 9. Cassandra Collections - Set • Set is sorted by CQL type comparator 8 INSERT INTO collections_example (id, set_example) VALUES(1, {'1-one', '2-two'}); set_example set<text> Collection name Collection type CQLType Thursday, May 16, 13
  10. 10. Cassandra Collections - Set Operations 9 UPDATE collections_example SET set_example = set_example + {'3-three'} WHERE id = 1; UPDATE collections_example SET set_example = set_example + {'0-zero'} WHERE id = 1; UPDATE collections_example SET set_example = set_example - {'3-three'} WHERE id = 1; • Adding an element to the set • After adding this element, it will sort to the beginning. • Removing an element from the set Thursday, May 16, 13
  11. 11. Cassandra Collections - List • Ordered by insertion 10 list_example list<text> Collection name Collection type CQLType INSERT INTO collections_example (id, list_example) VALUES(1, ['1-one', '2-two']); Thursday, May 16, 13
  12. 12. Cassandra Collections - List Operations • Adding an element to the end of a list 11 UPDATE collections_example SET list_example = list_example + ['3-three'] WHERE id = 1; UPDATE collections_example SET list_example = ['0-zero'] + list_example WHERE id = 1; • Adding an element to the beginning of a list UPDATE collections_example SET list_example = list_example - ['3-three'] WHERE id = 1; • Deleting an element from a list Thursday, May 16, 13
  13. 13. Cassandra Collections - Map • Key and value • Key is sorted by CQL type comparator 12 INSERT INTO collections_example (id, map_example) VALUES(1, { 1 : 'one', 2 : 'two' }); map_example map<int,text> Collection name Collection type Value CQLTypeKey CQLType Thursday, May 16, 13
  14. 14. Cassandra Collections - Map Operations • Add an element to the map 13 UPDATE collections_example SET map_example[3] = 'three' WHERE id = 1; UPDATE collections_example SET map_example[3] = 'tres' WHERE id = 1; DELETE map_example[3] FROM collections_example WHERE id = 1; • Update an existing element in the map • Delete an element in the map Thursday, May 16, 13
  15. 15. User model - Super! •Take boring user table and kick it up • Great for static + some dynamic •Takes advantage of row level isolation 14 CREATE TABLE user_with_location ( ! username text PRIMARY KEY, ! first_name text, ! last_name text, ! address1 text, ! city text, ! postal_code text, ! last_login timestamp, ! location_by_date map<timeuuid,text> ); Thursday, May 16, 13
  16. 16. Super user profile - Operations • Adding new login locations to the map 15 UPDATE user_with_location SET last_login = now(), location_by_date = {now() : '123.123.123.1'} WHERE username='PatrickMcFadin'; UPDATE user_with_location USING TTL 2592000 // 30 Days SET last_login = now(), location_by_date = {now() : '123.123.123.1'} WHERE username='PatrickMcFadin'; • Adding new login locations to the map +TTL! Thursday, May 16, 13
  17. 17. Indexing • Indexing expresses application intent • Fast access to specific queries • Secondary indexes != relational indexes • Use information you have. No pre-reads. 16 Goals: 1. Create row key for speed 2. Use wide rows for efficiency Thursday, May 16, 13
  18. 18. Keyword index • Use a word as a key • Columns are the occurrence • Ex: Index of tag words about videos 17 CREATE TABLE tag_index ( tag varchar, videoid uuid, timestamp timestamp, PRIMARY KEY (tag, videoid) ); VideoId1 .. VideoIdNtag Fast Efficient Thursday, May 16, 13
  19. 19. Partial word index • Where row size will be large •Take one part for key, rest for columns name 18 CREATE TABLE email_index ( domain varchar, user varchar, username varchar, PRIMARY KEY (domain, user) ); INSERT INTO email_index (domain, user, username) VALUES ('@relational.com','tcodd', 'tcodd'); User: tcodd Email: tcodd@relational.com Thursday, May 16, 13
  20. 20. Partial word index - Super! • Create partitions + partial indexes FTW 19 CREATE TABLE product_index ( store int, part_number0_3 int, part_number4_9 int, count int, PRIMARY KEY ((store,part_number0_3), part_number4_9) ); INSERT INTO product_index (store,part_number0_3,part_number4_9,count) VALUES (8675309,7079,48575,3); SELECT count FROM product_index WHERE store = 8675309 AND part_number0_3 = 7079 AND part_number4_9 = 48575; Compound row key! Fast and efficient! • Store #8675309 has 3 of part# 7079748575 Thursday, May 16, 13
  21. 21. Bit map index • Multiple parts to a key • Create a truth table of the different combinations • Inserts == the number of combinations - 3 fields? 7 options (Not going to use null choice) - 4 fields? 15 options 20 Thursday, May 16, 13
  22. 22. Bit map index • Find a car in a lot by variable combinations 21 Make Model Color Combination x Color x Model x x Model+Color x Make x x Make+Color x x Make+Model x x x Make+Model+Color Thursday, May 16, 13
  23. 23. Bit map index -Table create • Make a table with three different key combos 22 CREATE TABLE car_location_index ( make varchar, model varchar, color varchar, vehical_id int, lot_id int, PRIMARY KEY ((make,model,color),vehical_id) ); Compound row key with three different options Thursday, May 16, 13
  24. 24. Bit map index - Adding records • Pre-optimize for 7 possible questions on insert 23 INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('Ford','Mustang','Blue',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('Ford','Mustang','',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('Ford','','Blue',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('Ford','','',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('','Mustang','Blue',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('','Mustang','',1234,8675309); INSERT INTO car_location_index (make,model,color,vehical_id,lot_id) VALUES ('','','Blue',1234,8675309); Thursday, May 16, 13
  25. 25. Bit map index - Selecting records • Different combinations now possible 24 SELECT vehical_id,lot_id FROM car_location_index WHERE make = 'Ford' AND model = '' AND color = 'Blue'; vehical_id | lot_id ------------+--------- 1234 | 8675309 SELECT vehical_id,lot_id FROM car_location_index WHERE make = '' AND model = '' AND color = 'Blue'; vehical_id | lot_id ------------+--------- 1234 | 8675309 8765 | 5551212 Thursday, May 16, 13
  26. 26. Feeling super yet? • Use these skills. Save you they will. • Don’t settle for boring data models • Stay tuned for more! 25 • Final will be at the Cassandra Summit: June 11th The worlds next top data model Thursday, May 16, 13
  27. 27. Be there!!! 26 Sony, eBay, Netflix, Intuit, Spotify... the list goes on. Don’t miss it. Here is my discount code! Use it: PMcVIP Thursday, May 16, 13
  28. 28. Bonus! • DataStax Java Driver Preso - June 12th • Download today! 27 https://github.com/datastax/java-driver Thursday, May 16, 13
  29. 29. ThankYou Q&A Thursday, May 16, 13

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