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#MDBlocal
Distributed Transactions
… with Great Power Comes
Great Responsibility.
Boris Bialek, Head of Innovation EMEA
MUNICH
Seriously ?
Transactions can be cool ….
… or make you a
melted gummi bear in
seconds.
#MDBLocal
Transactions Use Cases
Many to Many
Relationships
Positions and Trades
Event Processing
Account Creation
Application Event
Logging
Application Auditing
#MDBLocal
Transactions can make application development easier
1. Don’t need to worry about interim states
2. Rollback/Abort is handled automatically
3. Point-in-time consistency
#MDBLocal
session = db.getMongo().startSession( { readPreference: { mode: "primary" } } );
coll1 = session.getDatabase(”accounts").payable;
coll2 = session.getDatabase(”billing").invoices;
session.startTransaction( { readConcern: { level: "local" }, writeConcern: { w: "majority" } } );
try {
coll1.insertOne( { ledger: 102010, payee: “Joe Some”, IBAN: 12234, amount: 200 }
);
coll2.insertOne( { invoice: 999, status: “PAID” } ); }
catch (error) {
session.abortTransaction();
throw error; }
session.commitTransaction();
session.endSession();
“OLD SCHOOL VERSION”
#MDBLocal
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);
SMART AND FAST in MongoDB 4.2!
Transactions Guarantees
#MDBLocal
Multi- Collection
Database
Statement
Document
Shard
#MDBLocal
All or Nothing Execution
TXN
Application
MongoDB
Uncommitted Writes
{ Document 1 } { Document 2 }
{ Document 3 }
Committed Writes
#MDBLocal
Snapshot Isolation
100 101 102 103 104 105 106 107 108 109 110 111
Snapshot
102
Snapshot
108
Transactions Guidelines
(…remember the gummi bears)
#MDBLocal
1) All existing 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 (at least think what
happens if…)
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
#MDBLocal
Majority Writes
No Arbiters!
P
S
S
S
S
#MDBLocal
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
#MDBLocal
P
S
S
S
P
S
Query Router
Insert {_id : “abc”}Insert {_id : “xyz”}
Coordinator!
Commit transaction
#MDBLocal
“ We see at least 2x performance improvement when
running MongoDB transactions vs logic on our own, in-
app”
Imagine a world without transactions
#MDBLocal
For even better perf results… collocate the data
#MDBLocal
If you cannot collocate, write to a single shard
READS WRITESREADS
Read Isolation
#MDBLocal
READ CONCERN = READ ISOLATION
Options: LOCAL, MAJORITY,
SNAPSHOT, LINEARIZABLE
Fun Fact: ReadConcern: Majority does not need to
coordinate across nodes to return results!
#MDBLocal
Read Concern: Snapshot
P
S
S
P
S
S
P
S
S
time: 102
Majority
or
Local
time: 102 time: 110 time: 104
Locking
#MDBLocal
TXN
Write
TXN
Write
{Doc 1}
TXN write is unable to obtain a write lock!
TXN is ABORTED
rolledback entirely
Double Transaction
#MDBLocal
TXN
Write
Operation
Non-Transactional Write
{Doc 1}
Operation Blocks Behind TXN Commit
Infinitely retries with Backoff Logic until MaxTimeMS is reached
Operation non-transactional write is unable to obtain a write lock!
Transaction and an Op
#MDBLocal
When non-transactional writes
encounter write conflicts
Operation Blocks Behind TXN Commit
Infinitely retries with Backoff Logic until MaxTimeMS is reached
When transactions encounter write
conflicts
Transactions abort
rollback entirely
#MDBLocal
TXN
Read
TXN
Write
{Doc 1}
Reads do not lock a document from being modified
Only writes make write conflicts
Read meets Write
More New Functionality in
MongoDB 4.2
#MDBLocal
Transactions Larger than 16MB
In MongoDB 4.0:
{<statement 1>}
{<statement 2>}
{<statement 3>}
{<statement 4>}
In MongoDB 4.2:
{<statement 1>,
<statement 2>,
<statement 3>,
<statement 4>}
#MDBLocal
This does not mean you can have infinitely large
transactions --
• WiredTiger Storage Engine still has to maintain the
history since the snapshot time
• Transactions have the same snapshot throughout the
duration of the transaction
• Transactions automatically abort after 60 seconds –
TUNABLE. transactionLifetimeLimitSeconds
#MDBLocal
Mutable Shard Key Values
Tiered storage: Aging out older documents to low
cost storage shard
• Global-redistribution: Rehoming documents to a
new region
ShardShard
#MDBLocal
• 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
Famous Final Comments
• Free Online 9 Chapters
• Register Now! - https://university.mongodb.com/courses/M042/about
THANK YOU

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