Newer Version Available

This content describes an older version of this product. View Latest

Medium-Sized Partners

Medium-sized partners have bigger subscriber bases and about six managed packages. A medium-sized partner’s total daily usage data across all managed packages is at or just over 20 GB. Also, this partner’s queries approach or hit the 15-minute processing time limit.
Available in: both Salesforce Classic and Lightning Experience
Available in: Enterprise, Performance, Unlimited, and Developer Editions

We recommend that after you run your regular queries one time, use catch-up queries as your main queries for subscriber snapshots and package usage summaries. Use a combination of daily queries and catch-up queries for package usage logs.

Data Type How to Get Started How to Schedule Catch-Up Queries
Subscriber Snapshots An initial query to retrieve data from when App Analytics was enabled for your managed packages.
  • One daily query.
  • Set AvailableSince to the day and time your last regular query ran.
  • Set StartTime to 30 days ago.
  • Omit EndTime.
  • Each day advance StartTime and AvailableSince by 1 day.
Package Usage Summaries An initial query to retrieve data from when App Analytics was enabled for your managed packages.
  • One daily catch-up query.
  • Set AvailableSince to the day and time your last regular query ran.
  • Set StartTime to the first of the previous month.
  • Omit EndTime.
  • Each day advance AvailableSince by 1 day.
  • Each month advance StartTime to the first of the previous month.
Package Usage Logs One regular daily query per package.
  • One daily catch-up query per package.
  • Set AvailableSince to the day and time your last regular query ran.
  • Set StartTime to 30 days ago.
  • Set EndTime equal to the StartTime of your regular query.
  • Each day advance StartTime, EndTime, and AvailableSince by 1 day.

Example

Half of your customers use your package on an NA or EU instance, so you run your regular queries at 18:00 UTC. The other half of your customers are on an AP instance, so you create catch-up queries to ensure that you capture data from around the world.

  • On March 31 at 18:00 UTC, run your regular package usage log queries for each of your packages.

    Package 1

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-30T00:00:00Z
    4EndTime=2021-03-31T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0336XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"

    Package 2

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-30T00:00:00Z
    4EndTime=2021-03-31T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0337XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"
  • On April 1 at 18:00 UTC onwards, run regular and catch-up package usage log queries.

    Package log file regular and catch-up queries timelline on April 1.

    A. Regular Queries

    Package 1

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-31T00:00:00Z
    4EndTime=2021-04-01T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0336XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"

    Package 2

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-31T00:00:00Z
    4EndTime=2021-04-01T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0337XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"

    B. Catch-Up Queries

    Package 1

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-01T00:00:00Z
    4EndTime=2021-03-31T00:00:00Z
    5AvailableSince=2021-03-31T18:00:00Z
    6DataType=PackageUsageLog
    7PackageIds=0336XXXXXXXXXX
    8FileType=csv
    9FileCompression=gzip"

    Package 2

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=021-03-01T00:00:00Z
    4EndTime=2021-03-31T00:00:00Z
    5AvailableSince=2021-03-31T18:00:00Z
    6DataType=PackageUsageLog
    7PackageIds=0337XXXXXXXXXX
    8FileType=csv
    9FileCompression=gzip"
  • On April 2, repeat the same queries that you ran on April 1, but advance the queries by a day. Package log file regular and catch-up queries timeline on April 2.

    A. Regular Queries

    Package 1

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-04-01T00:00:00Z
    4EndTime=2021-04-02T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0336XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"

    Package 2

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-04-01T00:00:00Z
    4EndTime=2021-04-02T00:00:00Z
    5DataType=PackageUsageLog
    6PackageIds=0337XXXXXXXXXX
    7FileType=csv
    8FileCompression=gzip"

    B. Catch-Up Queries

    Package 1

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2021-03-02T00:00:00Z
    4EndTime=2021-04-01T00:00:00Z
    5AvailableSince=2021-04-01T18:00:00Z
    6DataType=PackageUsageLog
    7PackageIds=0336XXXXXXXXXX
    8FileType=csv
    9FileCompression=gzip"

    Package 2

    1sf data create record
    2--sobjecttype AppAnalyticsQueryRequest
    3--values "StartTime=2020-03-02T00:00:00Z
    4EndTime=2021-04-01T00:00:00Z
    5AvailableSince=2021-04-01T18:00:00Z
    6DataType=PackageUsageLog
    7PackageIds=0337XXXXXXXXXX
    8FileType=csv
    9FileCompression=gzip"