Big Objects in Salesforce
- 1. Farmington Hills Salesforce Developer User Group Salesforce Apex Hours:- Big Objects #SalesforceApexHours #FarmingtonHillsSFDCDug Speaker :- Jigar Shah, Amit Chaudhary Date :- Saturday, JAN 27, 2018 10:00 AM EST Venue/Link :- TBD
- 2. Who am I ? Amit Chaudhary (Salesforce MVP) • Active on Salesforce Developer Community • Blogging at http://amitsalesforce.blogspot.in/ • Co-Organizer of :- FarmingtonHillsSFDCDug
- 3. Our Speaker Jigar Shah • Enterprise Solution Architect, Eternus Solutions • Speaker (Tahoe Dreamin’18, Dev. User Groups) • Developer Community Profile • Trailblazer Community Profile • 3x Certified (Platform Dev 1, App Builder, Administrator) • Blogs at https://learnsfdcwithjigar.wordpress.com/ @jigarshah189 /in/jigarshah189
- 4. Agenda Need for Big Objects What is a Big Object? Big Object Use Cases Considerations for Usage Demo Q & A
- 5. Need for Big Objects? Nature of Storage • Master Data • Business Data • Operational Data Performance • Performance diminishes with large data sets • Data retrieval limits Cost • Limited data storage
- 6. What is a Big Object? Object that stores & manages massive data volumes within Salesforce without affecting performance. ▶ Does NOT count against org data storage limits ▶ Processing scale of 1 billion records ▶ Types Standard (FieldHistoryArchive) User Defined Suffixed with “__b”
- 7. Big Object Use Cases Capture User Activity • Code reviews, time entries, page views, field audits etc. Retain Historical Data • Historical data stored for compliance 360 Customer View • Ancillary customer data e.g. Purchase Details, Transactions
- 8. Considerations for Big Objects Usage • Metadata API • Max. 100 Big Objects per org • Supports DateTime, Lookup, Number, Text, Long Text Area field types only • Triggers, Flows, Processes, Salesforce App are unavailable • Async SOQL is restricted to specific licenses General • Standard UI unavailable (Tabs, Detail Pages, List Views) • Works with Visualforce Pages or Lightning Components UI / UX • Supports Object & Field Permissions only Data Security & Access • No support for Report Builder • Einstein Analytics supported Analytics • Included in Managed Packages Packaging
- 9. Demo ▶ Use Case ▶ Big Objects Schema Definition ▶ Big Object Record Creation ▶ Data Retrieval ▶ Standard SOQL ▶ Async Soql
- 10. Demo – Use Case ▶ Extreme Gaming is globally renowned provider of online arcade games. They have an extremely popular game which has thousands of online players. ▶ This company intends to store all the interactions the players make in a single play of the game within Salesforce. ▶ The game has numerous interactions per day which multiplied with its huge set of players results in tons of data.
- 11. Object Definition # Field Label Field Name Required? Type Indexed Order 1 In-Game Purchase In_Game_Purchase__c Text (16) 2 Level Achieved Level_Achieved__c Text (16) 3 Lives Used Lives_This_Game__c Text (16) 4 Game Platform Game_Platform__c Yes Text (16) ASC 2 5 Score This Game Score_This_Game__c Text(16) 6 User Account Account__c Yes Lookup (Account) DESC 1 7 Date of Play Play_Date__c Yes DateTime DESC 3 8 Play_Duration__c Play_Duration__c Yes Number (18, 2) Customer Interactions (Customer_Interaction__b)
- 12. Deploying your Schema SchemaDefinition Package.xml Metadata Type Object File Object Definition (Name, Label, Fields) Indexes Permissions File Profile or Permission Set Access
- 13. Big Object Data Manipulation ▶ Apex CRUD ▶ Create / Update (Idempotent Behavior) ▶ insertImmediate(sobject) OR insertImmediate(sobjects) ▶ Read ▶ SOQL Queries ▶ Async SOQL ▶ CSV Files ▶ API (Bulk API, SOAP API)
- 14. Using Standard SOQL with Big Objects Executes synchronously All Indexes are mandatory Comparison Operators (=, <, >, <=, >=, IN) Not Supported Operators (!=, LIKE, NOT IN, EXCLUDES, INCLUDES)
- 15. Using Async SOQL with Big Objects { "jobId":"08PD000000003kiT", "message":"", "query":"SELECT Account__c, In_Game_Purchase__c FROM Customer_Interaction__b WHERE Play_Date__c='2018-01-05'", "status":"New", "targetObject":"Customer_Interaction_Analysis__c", "targetFieldMap":{ "Account__c":"Account__c", "In_Game_Purchase__c":"Purchase__c" }, "targetValueMap":{ "$JOB_ID":"BackgroundOperationLookup__c", "Copy fields from source to target":"BackgroundOperationDescription__c" } }
- 16. SOQL Vs Async SOQL Usage Considerations Feature Standard SOQL Async SOQL Mode of Execution Synchronous Asynchronous Immediate Response Required? Yes No Expected Result Set Size Smaller Data Sets (Thousands of records) Large Data Sets (Millions of records) Best Suited For • Displaying Data on UI • Manipulations within Apex • Aggregation • Summarizing for Analytics Filter using Non Index fields Yes No Sample Format SELECT Game_Platform__c, Play_Date__c FROM Customer_Interaction__b WHERE Game_Platform__c='PC' AND Play_Date__c='2017-09-06' { "query": "SELECT Account_c, In_Game_Purchase__c FROM Customer_Interaction__b WHERE Play_Date__c='2017-09-06'", "operation": "insert", "targetObject": "Customer_Interaction_Analysis__c", "targetFieldMap": { "Account__c":"Account__c", "In_Game_Purchase__c":"Purchase__c" }, "targetValueMap":{ "$JOB_ID“ : "BackgroundOperationLookup__c", "Copy fields from source to target“ : "BackgroundOperationDescription__c"} }
- 17. Additional References Big Object Basics (Trailhead Module) Big Objects – Bring Data to Force.com (YouTube) Big Objects Implementation Guide (Salesforce Documentation)
- 18. Questions ?...
- 19. Thank You
- 20. Follow Farmington Hills SFDC Developer Group Twitter Hashtag #FarmingtonHillsSFDCDug Meetup.com https://www.meetup.com/Farmington-Hills-Salesforce-Developer- Meetup/ Facebook Page https://www.facebook.com/FarmingtonHillsSfdcdug/?ref=bookmarks
- 21. Demo – Use Case ▶ ABC Financial Services, is a provider of wealth advisory services to clients globally. They have been using Salesforce as their system of truth for all their business needs for the past few years. ▶ In the past few months they have been concerned about the following challenges. ▶ Large amounts of audit information generated daily, eating into their org’s data storage which is difficult to analyze. ▶ Unsuccessful in auditing changes for descriptive text fields on Opportunities which is crucial to them for organizational compliance.