Logless Atomic Data Movement

• US 20130290282A1
• Filed: 03/15/2013
• Published: 10/31/2013
• Est. Priority Date: 04/30/2012
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Faerber, Franz, Lee, Juchang, Schreter, Ivan
• Granted Patent: US 9,165,010 B2
• Time in Patent Office: Days
• US Class Current: 707/693
• CPC Class Codes: G06F 16/162 Delete operations erasing in storage systems G06F3/0652
• CPC Class Codes: G06F 16/1744 using compression, e.g. sparse files
• CPC Class Codes: G06F 16/221 Column-oriented storage; Management thereof
• CPC Class Codes: G06F 16/2308 Concurrency control transaction processing G06F9/466
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06F 16/28 Databases characterised by their database models, e.g. relational or object models
• CPC Class Codes: G06F 3/0604 Improving or facilitating administration, e.g. storage management
• CPC Class Codes: G06F 3/0619 in relation to data integrity, e.g. data losses, bit errors
• CPC Class Codes: G06F 3/0638 Organizing or formatting or addressing of data
• CPC Class Codes: G06F 3/0644 Management of space entities, e.g. partitions, extents, pools
• CPC Class Codes: G06F 3/0647 Migration mechanisms
• CPC Class Codes: G06F 3/065 Replication mechanisms
• CPC Class Codes: G06F 3/0652 Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket
• CPC Class Codes: G06F 3/0673 Single storage device
• CPC Class Codes: G06F 3/0683 Plurality of storage devices

Abstract

A system and method of logless atomic data movement. An internal transaction is started within a multi-level storage architecture, the internal transaction to merge data from the first level storage structure to the second level storage structure. Committed data is read from a first level storage structure of the multi-level storage architecture as specified by the internal transaction. The committed data from the first level storage structure is inserted into a second level storage structure in a bulk insertion process, and the committed data is marked as being deleted from the first level storage. The internal transaction is then committed to the multi-level storage architecture when the committed data has been inserted into the second level storage structure.

Claims

1. In a unified table architecture of an in-memory computing system having a multi-level storage architecture, the storage architecture having a first level storage structure to store incoming data requests in a logical row format as data records, a second level storage structure to encode and store the data records in a logical column format, and a main store to compress and store the encoded data records for long-term storage, a method of log-less atomic data movement, the method comprising:

starting an internal transaction within the multi-level storage architecture, the internal transaction to merge data from the first level storage structure to the second level storage structure;

reading committed data from the first level storage structure as specified by the internal transaction;

inserting the committed data from the first level storage structure into the second level storage structure in a bulk insertion process;

marking the committed data as being deleted from the first level storage; and

committing the internal transaction to the multi-level storage when the committed data has been inserted into the second level storage structure.

2. The method in accordance with claim 1, wherein the bulk insertion process includes:

generating a page identifier for the committed data; and

creating an undo log for the page identifier.

3. The method in accordance with claim 1, further comprising marking the committed data as being deleted from the first level storage further includes adding a page delete version of the committed data to the first level storage.

4. A computer implemented method comprising:

providing a unified table architecture of an in-memory computing system, the unified table architecture having a multi-level storage architecture, the storage architecture having a first level storage structure to store incoming data requests in a logical row format as data records, a second level storage structure to encode and store the data records in a logical column format, and a main store to compress and store the encoded data records for long-term storage;

starting an internal transaction within the multi-level storage architecture, the internal transaction to merge data from the first level storage structure to the second level storage structure;

reading committed data from the first level storage structure as specified by the internal transaction;

inserting the committed data from the first level storage structure into the second level storage structure in a bulk insertion process;

marking the committed data as being deleted from the first level storage; and

committing the internal transaction to the multi-level storage when the committed data has been inserted into the second level storage structure.

5. The computer implemented method in accordance with claim 4, wherein the bulk insertion process includes:

generating a page identifier for the committed data; and

creating an undo log for the page identifier.

6. The computer implemented method in accordance with claim 4, further comprising marking the committed data as being deleted from the first level storage further includes adding a page delete version of the committed data to the first level storage.

7. The computer implemented method in accordance with claim 4, wherein the starting, the reading, the inserting, the marking, and the committing are performed by one or more processors.

8. A system comprising:

at least one programmable processor;

a multi-level storage architecture having a first level storage structure to store incoming data requests in a logical row format as data records, a second level storage structure to encode and store the data records in a logical column format, and a main store to compress and store the encoded data records for long-term storage, a method of log-less atomic data movement; and

a machine-readable medium storing instructions that, when executed by the at least one processor, cause the at least one programmable processor to perform operations comprising;

starting an internal transaction within the multi-level storage architecture, the internal transaction to merge data from the first level storage structure to the second level storage structure;

reading committed data from the first level storage structure as specified by the internal transaction;

inserting the committed data from the first level storage structure into the second level storage structure in a bulk insertion process;

marking the committed data as being deleted from the first level storage; and

committing the internal transaction to the multi-level storage when the committed data has been inserted into the second level storage structure.

9. The system in accordance with claim 8, wherein the bulk insertion process includes:

generating a page identifier for the committed data; and

creating an undo log for the page identifier.

10. The system in accordance with claim 8, wherein the operations further comprise marking the committed data as being deleted from the first level storage further includes adding a page delete version of the committed data to the first level storage.