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Alyson Cabral, Product Manager
Distributed Transactions: with Great Power Comes Great
Responsibility
aly_cabral
I know what you’re thinking…
But, Really…
MongoDB Transactions are ACID
Compliant
(yes, even across shards)
Transactions make application development
easier
• Don’t need to worry about interim states
• Either a customer is signed-up or they are not
• Rollback/Abort is handled automatically if any single
statement fails
• Point-in-time consistency across reads/writes
def insertDocuments(s):
s.client.db.col.insert_one({'abc': 1}, session=s)
s.client.db.col.insert_one({'xyz': 999}, session=s)
with client.start_session() as s:
s.with_transaction(insertDocuments);
New API in MongoDB 4.2!
New in MongoDB 4.2 -- Cross Shard Transactions
Transactions Guarantees
Multi- Collection
Database
Statement
Document
Shard
All or Nothing Execution
TXN
Application
MongoDB
Uncommitted Writes
{ Document 1 } { Document 2 }
{ Document 3 }
Committed Writes
Snapshot Isolation
100 101 102 103 104 105 106 107 108 109 110 111
Snapshot
102
Snapshot
108
Read Your Own Writes
Operation
Read
TXN
{_id: “OWNER12345”,
name: { first: “Aly”,
last: “Cabral”},
accountType: “Paid”,
pets: [ { type: “Dog”,
name: “Lady”}],
contact: { phoneNumber: 8008675309},
Address: { city: “New York”,
street: “94th”,
zipecode: 10025}}
Uncommitted Writes
street: “92nd”
Address.street = 94th
Address.street = 92nd
Transactions Guidelines
1) All data modeling rules still apply
2) Transactions should not be the most common
operation (sanity check for rule 1)
3) Pass in the session to all statements
4) Implement retry logic, transactions can always
abort
5) Don’t unnecessarily leave snapshots open
6) To trigger write conflicts, make sure you’re
doing writes
7) Plan for DDL Operations
Distributed Transactions Workflow
Majority Writes ------------
What promises do majority writes give you?
No Arbiters!
Participant
any shard that executes operations on
behalf of a given transaction
Coordinator
A single shard that is responsible for
coordinating the commit across shards for a
given transaction
P
S
S
S
P
S
Query Router
Insert {_id : “abc”}Insert {_id : “xyz”}
Coordinator!
Commit transaction
Show that the commit happens across all replicas
“ We see at least 2x performance
improvement when running MongoDB
transactions vs logic on our own, in-
app”
Imagine a world without transactions
Even better perf results
Collocate your data
Even better perf results
Write to a single shard
READ CONCERN = READ
ISOLATION
Options: LOCAL, MAJORITY,
SNAPSHOT, LINEARIZABLE
Fun Fact: ReadConcern: Majority does not need to
coordinate across nodes to return results!
Read Concern: Snapshot
P
S
S
P
S
S
P
S
S
time: 102
Majority
or
Local
time: 102 time: 110 time: 104
Snapshot Isolation is expensive
All shards need to coordinate the time
The same snapshot is used throughout the duration of the
transaction
Even once a snapshot time is selected, some shards may not
have that time
… …
keys
K K K KVV V V
txn
time
data
next
Update Structure
txn
time
data
next
WiredTiger Cache
More New Functionality in 4.2
Transactions Larger than 16MB
{ <statement 1>,
<statement 2>,
<statement 3>,
<statement 4>}
Prior to MongoDB 4.2:
This does not mean you can have infinitely large
transactions --
WT still has to maintain the history since the snapshot time
Transactions automatically abort after 60 seconds – TUNABLE.
transactionLifetimeLimitSeconds
Mutable Shard Key Values
Tiered storage: Aging out older documents to low
cost storage shard
Global-redistribution: Rehoming documents to a
new region
Use MongoDB 4.2 drivers
Transactions targeting a single shard will be faster than those
spanning multiple shards
Best practice: No more than 1,000 documents modified in a
single transaction
No arbiters
Chunk migrations will block behind running transactions
MONGODB4DOT2
• Free ▪ Online ▪ 9 Chapters
• Register Now! -
https://university.mongodb.com/courses/M042/about
MongoDB World 2019: Distributed Transactions: With Great Power Comes Great Responsibility

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MongoDB World 2019: Distributed Transactions: With Great Power Comes Great Responsibility

  • 1. Alyson Cabral, Product Manager Distributed Transactions: with Great Power Comes Great Responsibility aly_cabral
  • 2. I know what you’re thinking…
  • 3. But, Really… MongoDB Transactions are ACID Compliant (yes, even across shards)
  • 4. Transactions make application development easier • Don’t need to worry about interim states • Either a customer is signed-up or they are not • Rollback/Abort is handled automatically if any single statement fails • Point-in-time consistency across reads/writes
  • 5. def insertDocuments(s): s.client.db.col.insert_one({'abc': 1}, session=s) s.client.db.col.insert_one({'xyz': 999}, session=s) with client.start_session() as s: s.with_transaction(insertDocuments); New API in MongoDB 4.2! New in MongoDB 4.2 -- Cross Shard Transactions
  • 8. All or Nothing Execution TXN Application MongoDB Uncommitted Writes { Document 1 } { Document 2 } { Document 3 } Committed Writes
  • 9. Snapshot Isolation 100 101 102 103 104 105 106 107 108 109 110 111 Snapshot 102 Snapshot 108
  • 10. Read Your Own Writes Operation Read TXN {_id: “OWNER12345”, name: { first: “Aly”, last: “Cabral”}, accountType: “Paid”, pets: [ { type: “Dog”, name: “Lady”}], contact: { phoneNumber: 8008675309}, Address: { city: “New York”, street: “94th”, zipecode: 10025}} Uncommitted Writes street: “92nd” Address.street = 94th Address.street = 92nd
  • 12. 1) All data modeling rules still apply 2) Transactions should not be the most common operation (sanity check for rule 1) 3) Pass in the session to all statements 4) Implement retry logic, transactions can always abort 5) Don’t unnecessarily leave snapshots open 6) To trigger write conflicts, make sure you’re doing writes 7) Plan for DDL Operations
  • 14. Majority Writes ------------ What promises do majority writes give you? No Arbiters!
  • 15. Participant any shard that executes operations on behalf of a given transaction Coordinator A single shard that is responsible for coordinating the commit across shards for a given transaction
  • 16. P S S S P S Query Router Insert {_id : “abc”}Insert {_id : “xyz”} Coordinator! Commit transaction Show that the commit happens across all replicas
  • 17. “ We see at least 2x performance improvement when running MongoDB transactions vs logic on our own, in- app” Imagine a world without transactions
  • 18. Even better perf results Collocate your data
  • 19. Even better perf results Write to a single shard
  • 20. READ CONCERN = READ ISOLATION Options: LOCAL, MAJORITY, SNAPSHOT, LINEARIZABLE Fun Fact: ReadConcern: Majority does not need to coordinate across nodes to return results!
  • 21. Read Concern: Snapshot P S S P S S P S S time: 102 Majority or Local time: 102 time: 110 time: 104
  • 22. Snapshot Isolation is expensive All shards need to coordinate the time The same snapshot is used throughout the duration of the transaction Even once a snapshot time is selected, some shards may not have that time
  • 23. … … keys K K K KVV V V txn time data next Update Structure txn time data next WiredTiger Cache
  • 25. Transactions Larger than 16MB { <statement 1>, <statement 2>, <statement 3>, <statement 4>} Prior to MongoDB 4.2:
  • 26. This does not mean you can have infinitely large transactions -- WT still has to maintain the history since the snapshot time Transactions automatically abort after 60 seconds – TUNABLE. transactionLifetimeLimitSeconds
  • 27. Mutable Shard Key Values Tiered storage: Aging out older documents to low cost storage shard Global-redistribution: Rehoming documents to a new region
  • 28. Use MongoDB 4.2 drivers Transactions targeting a single shard will be faster than those spanning multiple shards Best practice: No more than 1,000 documents modified in a single transaction No arbiters Chunk migrations will block behind running transactions
  • 30. • Free ▪ Online ▪ 9 Chapters • Register Now! - https://university.mongodb.com/courses/M042/about