MongoDB Administration Checklist for MySQL DBAs

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MongoDB Administration Checklist for MySQL DBAs

If you are MySQL DBA, starting MongoDB administration is not always an easy transition. This post provides a checklist for MongoDB administrators who are familiar with MySQL.

Alexander Rubin

Jun. 03, 16 · Database Zone

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Finding a database that fits with a container-based deployment model can be frustrating. Learn what to look for in a Docker database.

In this blog, I discuss a MongoDB administration checklist designed to help MySQL DBAs.

If you are MySQL DBA, starting MongoDB administration is not always an easy transition. Although most of the concepts and even implementation are similar, the commands are different. The following table outlines the typical MySQL concepts and DBA tasks (on the left) to corresponding MongoDB ones (on the right). If you happen to be a MongoDB DBA and want to learn MySQL administration, you can use the same table looking from right to left.

I’ve also created a webinar, MongoDB administration for MySQL DBA, that explains the above concepts. You can download the slides to use as a reference.

Don’t forget about our upcoming event Community Open House for MongoDB in New York, June 30, 2016. There will be technical presentations and sessions from key members of the MongoDB open source community. This event is free of charge and open to all.

Architecture: Basic Concepts

Replication:

Sharding:

Day-to-day Operations

MySQL: SELECT

select*from zips limit1G

country_code:US

postal_code:34050

place_name:FPO

admin_name1:

admin_code1:AA

admin_name2:Erie

admin_code2:029

admin_name3:

admin_code3:

latitude:41.03750000

longitude:-111.67890000

accuracy:

1row inset(0.00sec)

MongoDB: FIND


MongoDB shell version:3.0.8

connecting to:zips

>db.zips.find().limit(1).pretty()

"_id":"01001",

"city":"AGAWAM",

"loc":[

-72.622739,

42.070206

"pop":15338,

"state":"MA"

MySQL: Schema

CREATE TABLE users(

idMEDIUMINT NOTNULLAUTO_INCREMENT,

user_id varchar(30),

age Number,

status char(1),

PRIMARY KEY(id)

MongoDB: Flexible Schema

db.users.insert({

user_id:"abc123",

age:55,

status:"A"}

MySQL: Config file

MongoDB:

/etc/mongod.conf

# Where and how to store data.

storage:

dbPath:/datawt

journal:

enabled:true

engine:wiredTiger

...

/usr/bin/mongod-f/etc/mongod.conf

MySQL: databases

Databases

mysql>show databases;

+--------------------+

|Database|

+--------------------+

|information_schema|

...

mysql>usezips

Database changed

Tables

mysql>show tables;

+----------------+

|Tables_in_zips|

+----------------+

|zips|

+----------------+

MongoDB: Databases

Databases

>show dbs;

admin0.000GB

local0.000GB

osm13.528GB

test0.000GB

zips0.002GB

>usezips

switched todb zips

Collections

>show collections

zips

>show tables//same

zips

MySQL: Storage Engines

MyISAM

InnoDB

TokuDB

MyRocks

MongoDB: Storage Engines

MMAPv1:memory mapped

WiredTiger:transactional+compression

TokuMX/PerconaFT 

RocksDB

MySQL: Processlist

mysql>show processlistG

Id:137259

User:root

Host:localhost

db:geonames

Command:Query

Time:0

State:init

Info:show processlist

Rows_sent:0

Rows_examined:0

1row inset(0.00sec)

MongoDB: CurrentOp()

>db.currentOp()

"inprog":[

"desc":"conn28",

"threadId":"0x19b85260",

"connectionId":28,

"opid":27394208,

"active":true,

"secs_running":3,

"microsecs_running":

NumberLong(3210539),

"op":"query",

"ns":"osm.points3",

"query":{

"name":"Durham"

"planSummary":"COLLSCAN",

"client":"127.0.0.1:58835",

"numYields":24905,

"locks":{

"Global":"r",

"Database":"r",

"Collection":"r"

"waitingForLock":false,

...

MySQL: Grants

mysql>grant all on*.*

touser@localhost 

identified by'pass';

MongoDB: createUser

>useproducts

db.createUser({

user:"accountUser",

pwd:"password",

roles:["readWrite","dbAdmin"]

MySQL: Index

mysql>show keys from zipsG

****1.row****

Table:zips

Non_unique:0

Key_name:PRIMARY

Seq_in_index:1

Column_name:id

Collation:A

Cardinality:0

Sub_part:NULL

Packed:NULL

Null:

Index_type:BTREE

MongoDB: Index

>db.zips.getIndexes()

"v":1,

"key":{

"_id":1

"name":"_id_",

"ns":"zips.zips"

MySQL: Add Index

mysql>alter table zips 

add key(postal_code);

Query OK,0rows affected(0.10sec)

Records:0Duplicates:0Warnings:0

MongoDB: Create Index

>db.zips.createIndex({state:1})

"createdCollectionAutomatically":false,

"numIndexesBefore":1,

"numIndexesAfter":2,

"ok":1

//Index can be sorted:

>db.zips.createIndex({state:-1})

"createdCollectionAutomatically":false,

"numIndexesBefore":2,

"numIndexesAfter":3,

"ok":1

MySQL: Explain

mysql>explain select*from zips 

where place_name='Durham'G

****1.row****

id:1

select_type:SIMPLE

table:zips

type:ref

possible_keys:place_name

key:place_name

key_len:183

ref:const

rows:25

Extra:Using index condition

1row inset(0.00sec)

MongoDB: Explain

>db.zips.find({"city":"DURHAM"}).explain()

"queryPlanner":{

"plannerVersion":1,

"namespace":"zips.zips",

"indexFilterSet":false,

"parsedQuery":{

"city":{

"$eq":"DURHAM"

"winningPlan":{

"stage":"COLLSCAN",

"filter":{

"city":{

"$eq":"DURHAM"

"direction":"forward"

"rejectedPlans":[]

"serverInfo":{...},

"ok":1

MySQL: Alter Table

mysql>alter table wikistats_innodb_n 

add url_md5 varbinary(16);

Query OK,0rows affected(37min10.03sec)

Records:0Duplicates:0Warnings:0

mysql>update wikistats_innodb_n 

set url_md5=unhex(md5(lower(url)));

Query OK,

85923501rows affected(42min29.05sec)

Rows matched:85923511Changed:85923501...

MongoDB: Flexible schema

No Alter statement. Just insert the newdocument version...

Different documents can have different schema versions

MySQL: Slow Query Log

mysql>set global long_query_time=0.1;

Query OK,0rows affected(0.02sec)

mysql>set global slow_query_log=1;

Query OK,0rows affected(0.02sec)

mysql>show global variables 

like'slow_query_log_file'G

****1.row****

Variable_name:slow_query_log_file

Value:/var/lib/mysql/slow.log

1row inset(0.00sec)

MongoDB: Profiling

//db.setProfilingLevel(level,slowms)

//Level:0=no profiling,

//1=only slow ops

//2=all ops

//Slowms same aslong_query_time

//inmilliseconds

>db.setProfilingLevel(2,100);

{"was":0,"slowms":100,"ok":1}

>db.system.profile.find(

{millis:

{$gt:100}

}).pretty()

"op":"query",

"ns":"zips.zips",

"query":{

"city":"DURHAM"

"ntoreturn":0,

MySQL: Percona Toolkit

$pt-query-digest--limit100slow.log

>slow.log.report.txt

MongoDB: Mtools

$mlogfilter mongo.log-20150915

--from'Sep 14 06:00:00'--to'Sep 14 23:59:59'

|mlogvis--line-max100000--out'mongo.html'

MySQL 5.7: GIS

SELECT osm_id,name,

round(st_distance_sphere(shape,

st_geomfromtext(

'POINT (-78.9064543 35.9975194)',1)

),2)asdist,

st_astext(shape)

FROM points_new

WHERE 

st_within(shape,

create_envelope(@lat,@lon,10))

and(other_tags 

like'%"amenity"=>"cafe"%'

orother_tags 

like'%"amenity"=>"restaurant"%')

andname isnotnull

ORDER BY dist asc LIMIT10;

MongoDB 3.2: GIS

db.runCommand({

geoNear:"points",

near:{

type:"Point",

coordinates:

[-78.9064543,35.9975194]

spherical:true,

query:{

name:{

$exists:true,$ne:null},

"other_tags":{$in:[

/.*amenity=>restaurant.*/,

/.*amenity=>cafe.*/]

"limit":5,

"maxDistance":10000

MySQL: Backup

Backup: mysqldump -A > dump.sql, restore: mysql < dump.sql
Stop replication slave, copy files
Percona XtraBackup

MongoDB: Backup

Backup: mongodump, restore mongorestore
Stop replica, copy files
Percona HotBackup for TokuMX only

When you're looking for a SQL database that can scale elastically, while still preserving ACID guarantees, you only have a few choices. Find out how these elastic SQL databases perform in thishead-to-head YCSB benchmark.

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Topics:

dba ,administration ,mysql ,mysql administration ,mongodb ,checklist

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Published at DZone with permission of Alexander Rubin, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

MongoDB Administration Checklist for MySQL DBAs

MongoDB Administration Checklist for MySQL DBAs

If you are MySQL DBA, starting MongoDB administration is not always an easy transition. This post provides a checklist for MongoDB administrators who are familiar with MySQL.

Architecture: Basic Concepts

Replication:

Sharding:

Day-to-day Operations

MySQL: SELECT

MongoDB: FIND

MySQL: Schema

MongoDB: Flexible Schema

MySQL: Config file

MongoDB:

MySQL: databases

MongoDB: Databases

MySQL: Storage Engines

MongoDB: Storage Engines

MySQL: Processlist

MongoDB: CurrentOp()

MySQL: Grants

MongoDB: createUser

MySQL: Index

MongoDB: Index

MySQL: Add Index

MongoDB: Create Index

MySQL: Explain

MongoDB: Explain

MySQL: Alter Table

MongoDB: Flexible schema

MySQL: Slow Query Log

MongoDB: Profiling

MySQL: Percona Toolkit

MongoDB: Mtools

MySQL 5.7: GIS

MongoDB 3.2: GIS

MySQL: Backup

MongoDB: Backup

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