data overview - wikiazure · queues durable messaging. provides asynchronous communication between...
TRANSCRIPT
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Data Overview
Dave Rendón@DaveRndn
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Agenda
Blobs
Files
Queues
Tables
StorSimple
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Azure Storage Architecture
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Azure Storage Concepts
(Blobs) Container
Table
File shares
Queues
Blobs
Entities
Directories/Files
Messages
Account
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West Europe
East US 2West US
Southeast Asia
Japan East
East China
Australia East
Japan West
Premium storage availability
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Azure Storage Accounts
An Azure Subscription can have up to 100 storage accounts.
Soft limit – contact support if you need more
Store up to 500TB per storage account
A storage account is uniquely addressable.
https://<account name>.<service name>.core.windows.net
Available from anywhere using REST API’s
Open source client libraries available for .NET, Native C++, Java, Android, Node.js, PHP, Python, Ruby, PowerShell, iOS
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Azure Storage Replication
Locally Redundant Storage (LRS)
Replicates your data within the region in which you created your storage account
Zone-redundant storage (ZRS)
Only for block blobs
Replicates your data across two to three facilities, either within a single region or across two regions
Geo-redundant storage (GRS) Replicates your data to a secondary
region that is hundreds of miles away from the primary region
Read-Access geo-redundant storage (RA-GRS) Maximizes availability for your storage
account Provides read-only access to the data
in the secondary location, in addition to the replication across two regions provided by GRS
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High Performance Storage for VM Workloads
Ideal for I/O intensive workloads running on DS-Series or GS-Series Virtual Machines
DS-Series VM can support up to 32 data disks and deliver up to 50K IOPs
GS-Series VM can support up to 64 data disks and deliver up to 80K IOPs
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MICROSOFT CONFIDENTIAL
File SharesSupports SMB 3.0 protocol.
Can be accessed like a traditional file share.
Share files between multiple Virtual Machines.
A single file share can be up to 5TB.
TablesNoSQL storage of structured data (entities).
Key/value storage.
A single entity can have up to 255 properties and be up to 1MB.
QueuesDurable messaging.
Provides asynchronous communication between application tiers and components.
A single message can be up to 64KB.
BlobsBlock: Text or binary data (.log, .exe, .jpg, etc.).
Up to 200GB.
Page: Optimized for disks (.vhd). Supports random read-write. Up to 1TB.
Append Blob: Writes to end of the blob (4MB max) up to 50k times (~195GB)
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Engineer to Engineer
Azure Storage Architecture
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Azure Storage Architecture (3 tiers)
FE 2
Partition 3
(F-J)
Stream 2
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Azure Storage Partitions A partition is served by a partition server
The scale of a partition is limited to what the partition server can handle
Data in same partition can be updated in an atomic manner. For example, Update a list of blocks in a blob and commit together. Add/Update/Delete entities in a table as part of a transaction. Write a batch of messages to a queue.
Data in separate partitions can be load balanced across partition servers.
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http|https://storageaccountname.blob.core.windows.net/
Blob Storage Container Concepts
Container 1
(/VHDs)
VHDs
• /Win2k12-
datacenter.vhd
Container 2
(/Logs)
/Log1.log
Container 3
(/Public)
/Photos
• /Pic1.jpg
/Videos
• /MyVideo.mp4
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http|https://storageaccountname.queue.core.windows.net/QUEUENAME/
Queue Storage Concepts
Queue (Order Processing)
Order1 Order2 OrderN…
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http|https://storageaccountname.files.core.windows.net/
Files Storage Concepts
Share name 1 (archive)
/Folder
• /File1.docx
• /foldera
• /file2.pptx
/folder
• /folder
• Files
Share name 1 (S Drive)
/Folder
• /File1.docx
• /foldera
• /file2.pptx
/folder
• /folder
• files
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http|https://storageaccountname.table.core.windows.net/TABLENAME/
lastname2
Table Storage Concepts
Entity1
• Partition Key=LASTNAME1
• Key=userid
• Att1 = value
Entity2
• Partition Key=LASTNAME1
• Key=userid
• Att1 = value
• Att 2 = value
• Att 3 =value
Entity3
• Partition Key=LASTNAME2
• Key=userid
• Att1 = value
• Att 3 = value
• Att 6 = value
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Blobs
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Microsoft Azure
Storage Blob
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Block Blob Page Blob
Two Types of Blobs Under the Hood
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Block Blob
Targeted at streaming workloads
Each blob consists of a sequence of blocks
Each block is identified by a Block ID
Size limit 200GB per blob
Optimistic Concurrency via Etags
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Page Blob
Targeted at random read/write workloads
Each blob consists of an array of pages
Each page is identified by its offset from the start of the blob
Size limit 1TB per blob
Optimistic or Pessimistic (locking) concurrency via leases
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Blob Storage Concepts
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Blob Details – Containers
A container holds a set of blobs
Set access policies at the container level
Associate Metadata with Container
List the blobs in a container
Including Blob Metadata and MD5 no search on metadata WHERE MetadataValue = ?
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Can include ‘/‘ or other delimiter in name
e.g. /<container>/myblobs/smurf.png
Blob Details –
blob name
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Blob Details
GET Blob operation takes parameters
Prefix
Delimiter
Include = (snapshots, metadata etc…)
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Blob sample listing
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Uploading a Block Blob
Uploading
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Shared Access Signatures
Fine grain access rights to blobs and containers
Sign URL with storage key – permit elevated rights
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Ad-hoc: Policy based:
Stored Access Policy Shared Access Signature
Shared Access Signatures – Two broad approaches
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Shared Access Signatures – Revocation
Use short time periods and re-issue
Use container level policy that can be deleted
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Store Access Policy – Policy Based Signatures
Create Shared Access Signature URL
Signed resource Blob or Container
Signed identifier Optional pointer to container policy
Signature HMAC-SHA256 of above fields
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Store Access Policy – Policy Based Signatures
Use case
Providing revocable permissions to certain users/groups
To revoke: Delete or update container policy
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http://...blob.../pics/image.jpg?
sr=c&si=MyUploadPolicyForUserID12345
&sig=dD80ihBh5jfNpymO5Hg1IdiJIEvHcJpCMiCMnN%2fRnbI%3d
Store Access PolicyPolicy Based Signatures
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Files
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Microsoft Azure
Storage Files
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Azure Files – Customer Quotes
“I wish I could go to storage and provision a cloud drive, giving it a namespace, and that drive would then be UNC-addressable by the OSes.”
“I need two VM's running with a shared drive. One will write to the drive, the other will read [it].”
“Hi, I have two VM's in Microsoft Azure. All I want to do is set up a file share between them. Is this possible?”
“Is it possible to share a secondary disk between different VM instances?”
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Sharing Files –The old way
Setup an IaaS VM to host a File Share backed by an IaaS Disk
Write code to find the IaaS File Share from the rest of the VMs in
your service.
Write some code to provide high availability
Handle host upgrades, node failures
You can only access the File Share from other VMs
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Azure Files
Shared Network File Storage for Azure
Availability, durability, scalability are managed automatically
Supports two interfaces: SMB and REST
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Azure Files – Usage
Share data across VMs and applications
Share settings throughout services
Dev/Test/Debug
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Queues
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Microsoft Azure
Storage Queue
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Why use a Queue?
Queue length reflects how well the backend processing nodes are
doing.
Decouples the application.
Flexibility of efficient resource usage within an application.
Absorb traffic bursts and reduce the impact of individual
component failures.
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Queue Components
Storage Account: All access to Azure Storage is done through a storage account.
Queue: A queue contains a set of messages.
Message: A message, in any format, of up to 64KB.
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Queue URL format
http://{storage-account}.queue.core.windows.net/{queue}
Queues are addressable using the following URL format:
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Queue URL format
http://myaccount.queue.core.windows.net/imagesToDownload
Example:
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Demo: Faster Web Applications with queues using
asynchronous workloads
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Producers Consumers
Queue C1
C2
P1
P2
4 3 12
Queue-based Load Levelling Pattern
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Tables
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Microsoft Azure
Storage Table
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Table Storage Concepts
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Table Storage Details
Not an RDBMS Table!
The mental picture is ‘Entities’
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Table Storage Details
Entity can have up to 255 properties
Up to 1MB per entity
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Table Storage Details
Entity Properties
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Table Storage Details
Supports full manipulation (CRUD)
Including Upsert and Entity Group Transactions
Tables can have metadata
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StorSimple
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Use separate storage accounts for high performance workloads
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Use separate storage accounts for logging
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Use queues to improve application scale