Introducing TokuMX: The Performance Engine for MongoDB (NYC.rb 2013-12-10)

Technologie Divertissement et humour

Talk given to NYC.rb meetup on 2013-12-10 about TokuMX, a replacement engine for MongoDB.

Introducing TokuMX:
The Performance Engine for
MongoDB
Leif Walsh

Senior Engineer, Tokutek

leif@tokutek.com

@leifwalsh
®

What is TokuMX?
!

• TokuMX = MongoDB with improved storage
!

• Drop in replacement for MongoDB v2.4 applications
• Including replication and sharding
• Same data model
• Same query language
• Drivers just work
• No Full Text or Geospatial
!

• Open Source
– http://github.com/Tokutek/mongo

®

B-tree Limitations
Performance is IO limited when bigger than RAM:

try to ﬁt all internal nodes and some leaf nodes
RAM

22

10

99

RAM

DISK
2, 3, 4

10,20

22,25

99

Plus, mmap.
®

TokuMX : Raw Compression
bittorrent data, size on disk, ~31 million inserts (lower is better)

TokuMX achieved

11.6:1 compression

8

®

TokuMX : Compression : Field Names
synthetic data, size on disk, 100 million inserts (lower is better)

TokuMX is substantially
smaller, even without
compression

9

®

TokuMX : Compression : Field Names
synthetic data, size on disk, 100 million inserts (lower is better)

MongoDB was ~10%
smaller
In TokuMX, ﬁeld name length has
almost no impact on size due to
compression

10

®

TokuMX : ACID + MVCC
• ACID
– In MongoDB, multi-insertion operations allow for partial
success
o Asked to store 5 documents, 3 succeeded

– In TokuMX, offer “all or nothing” behavior (atomic)

• MVCC
– In MongoDB, queries can be interrupted by writers.
o The effect of these writers are visible to the reader

– We offer MVCC
o Reads are consistent as of the operation start

11

®

Questions?

Leif Walsh

Senior Engineer, Tokutek

leif@tokutek.com

@leifwalsh

®

TokuMX : Indexed Insertion
!
•

indexed insertion workload (iibench)
• http://github.com/tmcallaghan/iibench-mongodb

!
{ dateandtime: <date-time>,!
cashregisterid: 1..1000,!
customerid: 1..100000,!
productid: 1..10000,!
price: <double> }!

!
•
•

insert only, 1000 documents per insert, 100 million inserts
indexes
• price + customerid
• cashregister + price + customerid
• price + dateandtime + customerid

!

13

®

$TokuMX : Concurrency ! • Sysbench read-write workload • point and range queries, update, delete, insert • http://github.com/tmcallaghan/sysbench-mongodb ! { _id: 1..10000000,! k: 1..10000000,! c: <120 char random string ###-###-###>,! pad: <60 char random string ###-###-###>} 14 ®$

$TokuMX : Raw Compression • BitTorrent Peer Snapshot Data (~31 million documents) • 3 Indexes : peer_id + created, torrent_snapshot_id + created, created ! { id: 1,! peer_id: 9222,! torrent_snapshot_id: 4,! upload_speed: 0.0000,! download_speed: 0.0000,! payload_upload_speed: 0.0000,! payload_download_speed: 0.0000,! total_upload: 0,! total_download: 0,! fail_count: 0,! hashfail_count: 0,! progress: 0.0000,! created: "2008-10-28 01:57:35" }! ! http://cs.brown.edu/~pavlo/torrent/ 15 ®$

$TokuMX : Compression : Field Names ! schema 1 - long field names (10/20/20) { first_name : “Tim”, ! last_name : “Callaghan”, ! email_address : “tim@tokutek.com” } ! schema 2 { fn : ln : ea : - short field names (26 less bytes per doc) “Tim”, ! “Callaghan”, ! “tim@tokutek.com” } ! 16 ®$

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