[SERVER-21154] Prepare Apply Batches Outside of Applier Thread Created: 27/Oct/15  Updated: 17/Nov/15  Resolved: 06/Nov/15

Status: Closed
Project: Core Server
Component/s: Replication
Affects Version/s: None
Fix Version/s: 3.2.0-rc3

Type: Improvement Priority: Major - P3
Reporter: Scott Hernandez (Inactive) Assignee: Mathias Stearn
Resolution: Done Votes: 0
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified

Issue Links:
Related
related to SERVER-21155 Only parse oplog entries once during ... Closed
is related to SERVER-21107 Improve protocol version 1 replicatio... Closed
Backwards Compatibility: Fully Compatible
Sprint: QuInt B (11/02/15), QuInt C (11/23/15)
Participants:

 Description   

Creating the batch to apply can be done outside of the applier thread and concurrently with a batch being applied. This will reduce the time spent in the applier thread and allow pipelining applying more.



 Comments   
Comment by Githook User [ 06/Nov/15 ]

Author:

{u'username': u'RedBeard0531', u'name': u'Mathias Stearn', u'email': u'mathias@10gen.com'}

Message: SERVER-21154 Batch and parse oplog entries in parallel with applying them

This includes the start of SERVER-21155.
Branch: master
https://github.com/mongodb/mongo/commit/6543f0dea026b6ff9ad6f701a8f6ca62f0679613

Comment by Githook User [ 04/Nov/15 ]

Author:

{u'username': u'RedBeard0531', u'name': u'Mathias Stearn', u'email': u'mathias@10gen.com'}

Message: Revert "SERVER-21154 Batch and parse oplog entries in parallel with applying them"

This reverts commit 2f70889bbfd4dea77cd26cec2dde28193b06905d.
Branch: master
https://github.com/mongodb/mongo/commit/d70512ab5f655868b409bcbf92d1e68af80e68d8

Comment by Githook User [ 04/Nov/15 ]

Author:

{u'username': u'RedBeard0531', u'name': u'Mathias Stearn', u'email': u'mathias@10gen.com'}

Message: SERVER-21154 Batch and parse oplog entries in parallel with applying them

This includes the start of SERVER-21155.
Branch: master
https://github.com/mongodb/mongo/commit/2f70889bbfd4dea77cd26cec2dde28193b06905d

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