I have enabled the point in time recovery on my DynamoDB table. Will it be possible to restore my table if the table itself is accidentally deleted?
It seems point in time recovery only protects against the deletion of the table items rather than the table itself.
As per AWS documentation, an accidentally deleted table can still be recovered with point in time recovery enabled.
When you delete a table that has point-in-time recovery enabled, DynamoDB automatically creates a backup snapshot called a system backup and retains it for 35 days (at no additional cost). You can use the system backup to restore the deleted table to the state it was in just before deletion. All system backups follow a standard naming convention of table-name$DeletedTableBackup.
We have a business requirement to deprecate certain field values("**State**"). So we need to scan the entire db and find these deprecated field values and take the last record of that partition key(as there can be multiple records for the same partition key, sort key is LastUpdatedTimeepoch), then update the record. Right now the table contains around 600k records. What's the best way to do this without bringing down the db service in production?
I see this thread could help me
https://stackoverflow.com/questions/36780856/complete-scan-of-dynamodb-with-boto3
But my main concern is -
This is a one time activity. As this will take time, we cannot run this in AWS lambda since it will exceed 15 minutes. So where can I keep the code running for this?
Create EC2 instance and assign role to access dynamo db and run function in EC2 instance.
I researched several places and could not find any direction on what options are there to archive old data from cosmosdb into a cold storage. I see for DynamoDb in AWS it is mentioned that you can move dynamodb data into S3. But not sure what options are for cosmosdb. I understand there is time to live option where the data will be deleted after certain date but I am interested in archiving versus deleting. Any direction would be greatly appreciated. Thanks
I don't think there is a single-click built-in feature in CosmosDB to achieve that.
Still, as you mentioned appreciating any directions, then I suggest you consider DocumentDB Data Migration Tool.
Notes about Data Migration Tool:
you can specify a query to extract only the cold-data (for example, by creation date stored within documents).
supports exporting export to various targets (JSON file, blob
storage, DB, another cosmosDB collection, etc..),
compacts the data in the process - can merge documents into single array document and zip it.
Once you have the configuration set up you can script this
to be triggered automatically using your favorite scheduling tool.
you can easily reverse the source and target to restore the cold data to active store (or to dev, test, backup, etc).
To remove exported data you could use the mentioned TTL feature, but that could cause data loss should your export step fail. I would suggest writing and executing a Stored Procedure to query and delete all exported documents with single call. That SP would not execute automatically but could be included in the automation script and executed only if data was exported successfully first.
See: Azure Cosmos DB server-side programming: Stored procedures, database triggers, and UDFs.
UPDATE:
These days CosmosDB has added Change feed. this really simplifies writing a carbon copy somewhere else.
I have a specific architecture to set up with postgresql.
I have a system that is based on two databases N and N+1.
The database N is available for clients in read only mode, and the database N+1 is available for modification for clients.
The client can also send two commands to the system:
An "apply" command: all the modifications made on the N+1 db are kept and the new state of the system is a readonly db with N+1 data and a N+2 db with same data available for writes.
A "reset" command: the N+1 db is dropped and a new copy of the N database is made for writes access for the users.
My first idea was to keep two databases in an instance of postgresql and perform pg_dump and pg_restore command on apply or reset command, and rename the database for the apply(N+1 -> N). The db can possibly reach the size of 8 Go, so I am currently performing test of such dump&restore on a Centos 6.7 vm.
Then I looked to the pg_basebackup command, to set up a hot standby database that will be the readonly one. The problem is that such an architecture is based on the idea of data replication from a master to a slave, and that is something I don't want since the client can ask a reset command that will drop the N+1 db.
The thing is I don't know if a system based on daily dump/restore is viable or not, or if there is with postgresql a simple way to handle two databases with the same schema and "detect and apply" the differences between the two: with that ability, I will be able , on apply command, to copy from N+1 to N only the difference, and the contrary with a reset command.
Any idea ?
Hi:
In our new application we have to use the oracle as the db,and we use mysql/sqlserver before,when I come to oracle I am confused by its concepts,for exmaple,the table space,the object,the schema table,index, procedure, database link,...:(
And the schema is closed to the user,I can not make it.
Since when we use the mysql,I just know that one database contain as many tables,and contain as many users,user have different authentication for different table.
But in oracle,everything is different.
Anyone can tell me some basic concepts of oracle,and some quick start docs?
Oracle has specific meanings for commonly-used terms, and you're right, it is confusing. I'll build a hierarchy of terms from the bottom up:
Database - In Oracle, the database is the collection of files that make up your overall collection of data. To get a handle on what Oracle means, picture the database management system (dbms) in a non-running state. All those files are your "database."
Instance - When you start the Oracle software, all those files become active, things get loaded into memory, and there's an entity to which you can connect. Many people would use the term "database" to describe a running dbms, but, once everything is up-and-running, Oracle calls it an, "instance."
Tablespace - A abstraction that allows you to think about a chunk of storage without worrying about the physical details. When you create a user, you ask Oracle to put that user's data in a specific tablespace. Oracle manages storage via the tablespace metaphor.
Data file - The physical files that actually store the data. Data files are grouped into tablespaces. If you use all the storage you have allocated to a user, or group of users, you add data files (or make the existing files bigger) to the tablespace they're configured to use.
User - An abstraction that encapsulates the privileges, authentication information, and default storage areas for an account that can log on to an Oracle instance.
Schema - The tables, indices, constraints, triggers, etc. that are owned by a particular user. There is a one-to-one correspondence between users and schemas. The schema has the same name as the user. The difference between the two is that the user concept is all about account information, while the schema concept deals with logical database objects.
This is a very simplified list of terms. There are different states of "running" for an Oracle instance, for example, and it's easy to get into very nuanced discussions of what things mean. Here's a practical exercise that will let you put your hands on these things, and will make the distinctions clearer:
Start an already-created Oracle instance. This step will transform a group of files, or as Oracle would say, a database, into a running Oracle instance.
Create a tablespace with the CREATE TABLESPACE command. You'll have to specify some data files to put into the tablespace, as well as some storage parameters.
Create a user with the CREATE USER command. You'll see that the items you have to specify have to do with passwords, privileges, quotas, and the like. Specify that the user's data be stored in the tablespace you created in step 2.
Connect to the Oracle using the credentials you created with the new user from step 3. Type, "SELECT * FROM CAT". Nothing should come back yet. Your user has a schema, but it's empty.
Run a CREATE TABLE command. INSERT some data into the table. The schema now contains some objects.
table spaces: these are basically
storage definitions. when defining a
table or index, etc., you can specify
storage options simply by putting
your table in a specific table_space
table, index, procedure: these are pretty much the same
user, schema: explained well before
database link: you can join table A in instance A and table B in instance B using a - database link between the two instances (while logged in on of them)
object: has properties (like a columns in a table) and methods that operate on those poperties (pretty much like in OO design); these are not widely used
A few links:
Start page for 11g rel 2 docs http://www.oracle.com/pls/db112/homepage
Database concepts, Table of contents http://download.oracle.com/docs/cd/E11882_01/server.112/e16508/toc.htm