Attach an Unlimited Storage Database Using Point-in-Time Recovery (PITR)

Setup

1. Create the unlimited storage database bottomless_db in the object storage bucket bottomless_db_bucket in the folder bottomless_db_folder.

The following definition assumes you are using Amazon S3 as the object storage provider.

Note that aws_session_token is required only if your credentials in the CREDENTIALS clause are temporary.

SQL

CREATE DATABASE bottomless_db ON S3 "bottomless_db_bucket/bottomless_db_folder"
  CONFIG '{"region":"us-east-1"}'
  CREDENTIALS '{"aws_access_key_id":"your_access_key_id","aws_secret_access_key":"your_secret_access_key","aws_session_token":"your_session_token"}';

The following definition assumes you are using Azure as the object storage provider.

SQL

CREATE DATABASE bottomless_db ON AZURE "bottomless_db_bucket/bottomless_db_folder"  
    CONFIG ''  
    CREDENTIALS '{"account_name":"your_account_name","account_key":"your_account_key"}';

The following definition assumes you are using GCS as the object storage provider.

SQL

CREATE DATABASE bottomless_db ON GCS "bottomless_db_bucket/bottomless_db_folder"
  CONFIG '' 
  CREDENTIALS'{"access_id":"your_access_key_id", "secret_key":"your_secret_access_key"}';

2. Make some updates to bottomless_db. In this example, you update the database by creating a table and inserting some data:

SQL

USE bottomless_db;
CREATE TABLE t(a INT);
INSERT INTO t(a) VALUES (10);
INSERT INTO t(a) VALUES (20);

3. Create a milestone (a restore point):

SQL

CREATE MILESTONE "after_second_insert" FOR bottomless_db;

4. Make more updates to bottomless_db:

SQL

INSERT INTO t(a) VALUES (30);
INSERT INTO t(a) VALUES (40);

Create a second milestone:

SQL

CREATE MILESTONE "after_fourth_insert" FOR bottomless_db;

Perform the Restore

Suppose the values 30 and 40 were inserted into t in error. You now want to restore the database to the milestone after_second_insert. Detach the database to bring it offline:

SQL

DETACH DATABASE bottomless_db;

Then attach the database at the restore point:

For S3:

SQL

ATTACH DATABASE bottomless_db ON S3 "bottomless_db_bucket/bottomless_db_folder"
  CONFIG '{"region":"us-east-1"}'
  CREDENTIALS '{"aws_access_key_id":"your_access_key_id","aws_secret_access_key":"your_secret_access_key"}'
  AT MILESTONE "after_second_insert";

For Azure:

SQL

ATTACH DATABASE bottomless_db ON AZURE "bottomless_db_bucket/bottomless_db_folder"
 CONFIG ''  
 CREDENTIALS '{"account_name":"your_account_name","account_key":"your_account_key"}'
 AT MILESTONE "after_second_insert";

For GCS:

SQL

ATTACH DATABASE bottomless_db ON GCP "bottomless_db_bucket/bottomless_db_folder"
 CONFIG ''  
 CREDENTIALS '{"access_id":"your_access_key_id", "secret_key":"your_secret_access_key"}';
 AT MILESTONE "after_second_insert";

You can restore to any point in time for which all the data is available on an object store. It is not necessary to restore to a named milestone.

A database cannot be restored to a PITR milestone taken before the database was dropped. This is because DROP DATABASE removes the PITR history.

Daylight Saving Time Ambiguity in PITR

When you do a PITR using the following timestamp format,

SQL

ATTACH DATABASE x_db AT TIME 'YYYY-MM-DD HH:MM:SS';

the engine uses the server timezone. This can create ambiguity when daylight saving time (DST) changes time by one hour. For example, if you input the time as 1:05AM, was that before or after DST? The time used by the engine and the user scripts may not match.

The solution is to use Unix time stamps or alternatively, use milestones to avoid this problem.

Attach an Unlimited Storage Database Using Point-in-Time Recovery (PITR)

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Setup

Perform the Restore

Daylight Saving Time Ambiguity in PITR

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