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DF14: Faster SOQL? Yes, Please

DF14: Faster SOQL? Yes, Please

By John Tan (@johntansfdc) and Chris Peterson (@ca_peterson) at Dreamforce '14

This presentation was recorded and can be watched at http://dreamforce.vidyard.com/watch/4MfH1Hne0EV76ChTjSWfbQ

Chris Peterson

October 16, 2014

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  1. Faster SOQL? Yes, please! John Tan Architect Evangelist, salesforce.com @johntansfdc

    Chris Peterson Force.com MVP Senior Developer, FinancialForce.com @ca_peterson
  2. Safe Harbor Safe harbor statement under the Private Securities Litigation

    Reform Act of 1995: This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties materialize or if any of the assumptions proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed or implied by the forward-looking statements we make. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product or service availability, subscriber growth, earnings, revenues, or other financial items and any statements regarding strategies or plans of management for future operations, statements of belief, any statements concerning new, planned, or upgraded services or technology developments and customer contracts or use of our services. The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new functionality for our service, new products and services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays in our Web hosting, breach of our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the immature market in which we operate, our relatively limited operating history, our ability to expand, retain, and motivate our employees and manage our growth, new releases of our service and successful customer deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger enterprise customers. Further information on potential factors that could affect the financial results of salesforce.com, inc. is included in our annual report on Form 10-K for the most recent fiscal year and in our quarterly report on Form 10-Q for the most recent fiscal quarter. These documents and others containing important disclosures are available on the SEC Filings section of the Investor Information section of our Web site. Any unreleased services or features referenced in this or other presentations, press releases or public statements are not currently available and may not be delivered on time or at all. Customers who purchase our services should make the purchase decisions based upon features that are currently available. Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements.
  3. What is the Force.com query optimizer? Generates the most efficient

    query based on: •  Statistics •  Indexes / Skinny Tables •  Sharing
  4. Basic Algorithm •  Pre-query engine •  Chooses the most selective

    filter from the WHERE clause •  Determine the best leading table/index to drive the query Query optimizer will make the best choice best on the filters in your query.
  5. Selective Filters: Four Components 1.  Filters - add filters to

    reduce data 2.  Operators - avoid 2 inefficient filter operators 3.  Thresholds – ensure filter meets selectivity threshold 4.  Index Creation - index the filter field
  6. Fields that often make good filters •  Date fields • 

    Picklists •  Fields with wide and even distribution of values
  7. Non-Deterministic Formula Fields Aren’t Good Filters •  Can’t index • 

    For example: –  References related object –  CASE(MyUser__r.UserType__c,1,”Gold”,”Silver”) –  Create separate field and use trigger to populate Force.com SOQL Best Practices: Nulls and Formula Fields
  8. Avoid negative operators Query for reciprocal values instead ✖ Status

    != 'closed' ✔ Status IN ('open', 'in progress')
  9. Avoid filters with a leading % wildcard CONTAINS or LIKE

    ‘%searchstring%’ ✖ CONTAINS ('district') / LIKE '%district%' ✔ STARTS WITH ('district') / LIKE 'district%'
  10. Standard Index Selectivity Threshold A standard index is selective when

    it returns: •  < 30% of the first 1 million records •  < 15% of returned records after the first 1 million records •  No more than 1 million total records
  11. Standard Index Selectivity Threshold For 750,000 Account records •  <

    30% of the first 1 million records •  750,000 x .30 = 225,000
  12. Standard Index Selectivity Threshold For 3,500,000 Account records •  <

    30% of the first 1 million records •  < 15% of returned records after the first 1 million records •  (1,000,000 x .30) + (2,500,000 x .15) = 675,000
  13. Custom Index Selectivity Threshold A custom index is selective when

    it returns: •  < 10% of the first million records •  < 5% of returned records after the first million records •  No more than 333,333 records
  14. Standard Fields With Indexes •  Id •  Name •  OwnerId

    •  CreatedDate •  SystemModstamp •  RecordType •  Master-detail fields •  Lookup fields
  15. Custom Indexes •  Discover common filter conditions •  Determine selective

    fields in those conditions •  Request custom indexes
  16. A filter condition is selective when … … it uses

    an optimizable operator … it meets the selectivity threshold … selective fields have indexes
  17. AND conditions WHERE FirstName__c = 'Jane' AND LastName__c = 'Doe'

    AND City__c = 'San Francisco' Step 1 – Allow each index to still be considered if they return < 2X selectivity threshold Step 2 – INTERSECTION of all indexes must meet *selectivity threshold Step 3 – Use composite index join to drive query *If all indexes are standard indexes, use standard index selectivity threshold. Otherwise, use the custom index selectivity threshold
  18. 2-column index For this simple example, it makes more sense

    to have Customer Support create a 2-column index.
  19. OR conditions WHERE FirstName__c = 'Jane' OR LastName__c = 'Doe'

    OR City__c = 'San Francisco'! Step 1 – Each field must be indexed and meet selectivity threshold Step 2 – UNION of all the indexes must meet *selectivity threshold Step 3 – Use union to drive query *If all indexes are standard indexes, use standard index selectivity threshold. Otherwise, use the custom index selectivity threshold
  20. Sort Optimization ORDER BY CreatedDate LIMIT 100 Step 1 –

    ORDER BY on date or number field Step 2 – Bound results with LIMIT clause * May have to add CreatedDate <> null explicitly to WHERE clause
  21. Summary •  Query optimizer generates the most efficient query possible

    •  1+ selective filters per SOQL statement •  Test with > 10K records
  22. Links •  Architect Core Resources – http://bit.ly/Arch_Core_Resources •  Query cheat

    sheet – http://bit.ly/Query_Cheat_Sheet •  Query Plan API wiki - http://bit.ly/Query_Plan_API •  Sort Optimization blog - http://bit.ly/Sort_Optimization