NOTE Recently upgraded to MongoDB 3.8.x Java Driver.
Disclaimer: POCDriver is NOT in any way an official MongoDB product or project.
This is open source, immature, and undoubtedly buggy code. If you find bugs please fix them and send a pull request or report in the GitHub issue queue.
This tool is designed to make it easy to answer many of the questions people have during a MongoDB 'Proof of Concept':
- How fast will MongoDB be on my hardware?
- How could MongoDB handle my workload?
- How does MongoDB scale?
- How does High Availability work (aka How do I handle a failover)?
POCDriver is a single JAR file which allows you to specify and run a number of different workloads easily from the command line. It is intended to show how MongoDB should be used for various tasks and avoids testing your own client code versus MongoDB's capabilities.
POCDriver is an alternative to using generic tools like YCSB. Unlike these tools, POCDriver:
-
Only works with MongoDB. This shows what MongoDB can do rather than comparing lowest common denominator between systems that aren't directly comparable.
-
Includes much more sophisticated workloads using the appropriate MongoDB feature.
Execute
$ mvn clean package
and you will find POCDriver.jar in bin folder.
If run with no arguments, POCDriver will try to insert documents into a MongoDB deployment running on localhost as quickly as possible.
There will be only the _id index and documents will have 10 fields.
Use --print to see what the documents look like.
-h show help
-p show what the documents look like in the test
-t how many threads to run on the client and thus how many connections.
-s what threshold to consider slow when reporting latency percentages in ms
-o output stats to a file rather then the screen
-n use a namespace 'schema.collection' of your choice
-d how long to run the loader for.
-q *try* to limit rate to specified ops per second.
-c a MongoDB connection string (note: you can include write concerns and thread pool size info in this)
-k Fetch a single document using its primary key
-r fetch a range of 10 documents
-u increment an integer field in a random document
-i add a new document
-g update a random value in the array (must have arrays enabled)
-v perform sets of operations on a stack:
-v iuu will insert then update that document twice
-v kui will find a document, update it, then insert a new document
The last document is placed on a stack and p pops it off so:
-v kiippu Finds a document, adds two, then pops them off and updates the original document found.
Note: If you specify a workflow via the -v flag, the basic operations above will be ignored and the operations listed will be performed instead.
-m when updating a document use findAndModify to fetch a copy of the new incremented value
-j when updating or querying limit the set to the last N% of documents added
-b what size to use for operation batches.
--rangedocs number of documents to fetch for range queries (default 10)
--updatefields number of fields to update (default 1)
--projectfields number of fields to project in finds (default 0 - return full document)
-x how many fields to index aside from _id
-w do not shard this collection on a sharded system
-e empty this collection at the start of the run.
-a add an X by Y array of integers to each document using -a X:Y
-f aside from arrays and _id add f fields to the document, after the first 3 every third is an integer, every fifth a date, the rest are text.
-l how many characters to have in the text fields
--depth The depth of the document to create.
$ java -jar POCDriver.jar -p -a 3:4
MongoDB Proof Of Concept - Load Generator
{
"_id": {
"w": 1,
"i": 12345678
},
"fld0": 195727,
"fld1": {
"$date": "1993-11-20T04:21:16.218Z"
},
"fld2": "Stet clita kasd gubergren, no ",
"fld3": "rebum. Stet clita kasd gubergr",
"fld4": "takimata sanctus est Lorem ips",
"fld5": {
"$date": "2007-12-26T07:28:49.386Z"
},
"fld6": 53068,
"fld7": "et justo duo dolores et ea reb",
"fld8": "kasd gubergren, no sea takimat",
"fld9": 531837,
"arr": [
[0,0,0,0],
[0,0,0,0],
[0,0,0,0]
]
}
$ java -jar POCDriver.jar -k 20 -i 10 -u 10 -b 20
MongoDB Proof Of Concept - Load Generator
------------------------
After 10 seconds, 20016 new documents inserted - collection has 89733 in total
1925 inserts per second since last report 99.75 % in under 50 milliseconds
3852 keyqueries per second since last report 99.99 % in under 50 milliseconds
1949 updates per second since last report 99.84 % in under 50 milliseconds
0 rangequeries per second since last report 100.00 % in under 50 milliseconds
------------------------
After 20 seconds, 53785 new documents inserted - collection has 123502 in total
3377 inserts per second since last report 99.91 % in under 50 milliseconds
6681 keyqueries per second since last report 99.99 % in under 50 milliseconds
3322 updates per second since last report 99.94 % in under 50 milliseconds
0 rangequeries per second since last report 100.00 % in under 50 milliseconds
------------------------
After 30 seconds, 69511 new documents inserted - collection has 139228 in total
1571 inserts per second since last report 99.92 % in under 50 milliseconds
3139 keyqueries per second since last report 99.99 % in under 50 milliseconds
1595 updates per second since last report 99.94 % in under 50 milliseconds
0 rangequeries per second since last report 100.00 % in under 50 milliseconds
- commons-cli-1.3.jar
- commons-codec-1.10.jar
- gson-2.2.4.jar
- loremipsum-1.0.jar (http://sourceforge.net/projects/loremipsum/files/)
- mongo-driver-sync-3.8.1.jar
If you are running a mongod with --auth enabled, you must pass a user and password with read/write and replSetGetStatus privileges (e.g. readWriteAnyDatabase and clusterMonitor roles).