[Solution] Week 5 :Aggregation Framework : M101P: MongoDB for Developers
Homework 6.1 :
Which of the following statements are true about replication in MongoDB? Check all that apply.
Solution :
Homework 6.2 :
Let's suppose you have a five member replica set and want to assure that writes are committed to the journal and are acknowledged by at least 3 nodes before you proceed forward. What would be the appropriate settings for w and j?
Solution :
Homework 6.3 :
Which of the following statements are true about choosing and using a shard key?
Homework 6.4 :
You have a sharded system with three shards and have sharded the collections "students" in the "school" database across those shards. The output of sh.status() when connected to mongos looks like this:
Solution :298016
mongos> sh.status() --- Sharding Status --- sharding version: { "_id" : 1, "minCompatibleVersion" : 5, "currentVersion" : 6, "clusterId" : ObjectId("5531512ac723271f602db407") } shards: { "_id" : "s0", "host" : "s0/localhost:37017,localhost:37018,localhost:37019" } { "_id" : "s1", "host" : "s1/localhost:47017,localhost:47018,localhost:47019" } { "_id" : "s2", "host" : "s2/localhost:57017,localhost:57018,localhost:57019" } balancer: Currently enabled: yes Currently running: yes Balancer lock taken at Fri Apr 17 2015 14:32:02 GMT-0400 (EDT) by education-iMac-2.local:27017:1429295401:16807:Balancer:1622650073 Collections with active migrations: school.students started at Fri Apr 17 2015 14:32:03 GMT-0400 (EDT) Failed balancer rounds in last 5 attempts: 0 Migration Results for the last 24 hours: 2 : Success 1 : Failed with error 'migration already in progress', from s0 to s1 databases: { "_id" : "admin", "partitioned" : false, "primary" : "config" } { "_id" : "school", "partitioned" : true, "primary" : "s0" } school.students shard key: { "student_id" : 1 } chunks: s0 1 s1 3 s2 1 { "student_id" : { "$minKey" : 1 } } -->> { "student_id" : 0 } on : s2 Timestamp(3, 0) { "student_id" : 0 } -->> { "student_id" : 2 } on : s0 Timestamp(3, 1) { "student_id" : 2 } -->> { "student_id" : 3497 } on : s1 Timestamp(3, 2) { "student_id" : 3497 } -->> { "student_id" : 7778 } on : s1 Timestamp(3, 3) { "student_id" : 7778 } -->> { "student_id" : { "$maxKey" : 1 } } on : s1 Timestamp(3, 4)
Solution :298016
Homework 6.5 :
In this homework you will build a small replica set on your own computer. We will check that it works with validate.py, which you should download from the Download Handout link.
Create three directories for the three mongod processes. On unix, this could be done as follows:
Now start three mongo instances as follows. Note that are three commands. The browser is probably wrapping them visually.
Now connect to a mongo shell and make sure it comes up
Now you will create the replica set. Type the following commands into the mongo shell:
Now run validate.py to confirm that it works.
Solution : kjvjkl3290mf0m20f2kjjv
Create three directories for the three mongod processes. On unix, this could be done as follows:
mkdir -p /data/rs1 /data/rs2 /data/rs3
Now start three mongo instances as follows. Note that are three commands. The browser is probably wrapping them visually.
mongod --replSet m101 --logpath "1.log" --dbpath /data/rs1 --port 27017 --smallfiles --oplogSize 64 --fork mongod --replSet m101 --logpath "2.log" --dbpath /data/rs2 --port 27018 --smallfiles --oplogSize 64 --fork mongod --replSet m101 --logpath "3.log" --dbpath /data/rs3 --port 27019 --smallfiles --oplogSize 64 --forkWindows users: Omit -p from mkdir. Also omit --fork and use start mongod with Windows compatible paths (i.e. backslashes "\") for the --dbpath argument (e.g; C:\data\rs1).
Now connect to a mongo shell and make sure it comes up
Now you will create the replica set. Type the following commands into the mongo shell:
config = { _id: "m101", members:[ { _id : 0, host : "localhost:27017"}, { _id : 1, host : "localhost:27018"}, { _id : 2, host : "localhost:27019"} ] }; rs.initiate(config);At this point, the replica set should be coming up. You can type
rs.status()to see the state of replication.
Now run validate.py to confirm that it works.
python validate.pyValidate connects to your local replica set and checks that it has three nodes. It has been tested under Pymongo 2.3 and 2.4. Type the validation code below.
Solution : kjvjkl3290mf0m20f2kjjv
Enjoy....!!!!
Feel free to comment below your experience with above approach and If you still find any problem with above steps Let me know I would love to help you to resolve your problem.
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