Automatic IO stream timing determination in live images
A live image of a virtual machine is disclosed. When generating a live image, an image of a virtual machine is generated. A journal is also generated that starts before a start time of the image and ends after the start time of the image. A live image is then generated by synchronizing the start time of the image with the journal. This includes evaluating or analyzing the journal relative to the backup to determine or synchronize the start time relative to the entries in the journal.
1. A method for generating a live image of data, the method comprising:
dividing a journal that begins prior to generating an image and that ends after generating the image into time intervals, wherein the live image includes the journal and an image of the data and wherein the journal includes entries associated with the data during a time period during which the image was taken;
classifying every location in the journal impacted by the entries with a classification in each of the time intervals, wherein the classifications include a first classification indicates that a value in the journal matches a value in the image, a second classification where the value in the journal does not match the value in the image, a third classification indicating the value is concluded to match the value in the backup, and a fourth classification indicating that whether the value in the journal matches the value in the image is unknown;
identifying candidate time intervals from amongst the time intervals based on the classifications of the locations in the time intervals, wherein the image was generated during one of the candidate timer intervals; and
synchronizing the journal with the image by selecting a synchronized time interval from amongst the candidate intervals as the time interval during which the image was taken, wherein the classifications in the synchronized timer interval include only first and/or third classifications.
2. The method of claim 1 , further comprising starting the journal before a start time of taking the image.
3. The method of claim 1 , further comprising ending the journal after an end time of the image.
4. The method of claim 1 , further comprising selecting the candidate time intervals, wherein a time interval is selected as a candidate time interval when all locations for associated with the time interval contain values equal to values in the image, are concluded to contain values equal to values in the image, or are unknown.
5. The method of claim 4 , further comprising selecting an earliest time interval when all locations contain locations that match the values in the backup.
6. The method of claim 5 , further comprising selecting a latest time interval when the locations in the candidate time intervals do not all contain the value in the image.
7. The method of claim 1 , wherein the data comprises a virtual machine.
8. The method of claim 1 , wherein the image is a partial image, further comprising accessing missing data from previous images or from a synthetic image, or from a snapshot of the image.
9. A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
dividing a journal that begins prior to generating an image and that ends after generating the image into time intervals, wherein the live image includes the journal and an image of the data and wherein the journal includes entries associated with the data during a time period during which the image was taken;
classifying every location in the journal impacted by the entries with a classification in each of the time intervals, wherein the classifications include a first classification indicates that a value in the journal matches a value in the image, a second classification where the value in the journal does not match the value in the image, a third classification indicating the value is concluded to match the value in the backup, and a fourth classification indicating that whether the value in the journal matches the value in the image is unknown;
identifying candidate time intervals from amongst the time intervals based on the classifications of the locations in the time intervals, wherein the image was generated during one of the candidate timer intervals; and
synchronizing the journal with the image by selecting a synchronized time interval from amongst the candidate intervals as the time interval during which the image was taken, wherein the classifications in the synchronized timer interval include only first and/or third classifications.
10. The non-transitory storage medium of claim 9 , the operations further comprising starting the journal before a start time of taking the image.
11. The non-transitory storage medium of claim 9 , the operations further comprising ending the journal after an end time of the image.
12. The non-transitory storage medium of claim 9 , the operations further comprising selecting the candidate time intervals, wherein a time interval is selected as a candidate time interval when all locations for associated with the time interval contain values equal to values in the image, are concluded to contain values equal to values in the image, or are unknown.
13. The non-transitory storage medium of claim 12 , the operations further comprising selecting an earliest time interval when all locations contain locations that match the values in the backup.
14. The non-transitory storage medium of claim 13 , the operations further comprising selecting a latest time interval when the locations in the candidate time intervals do not all contain the value in the image.
15. The non-transitory storage medium of claim 9 , wherein the data comprises a virtual machine.
16. The non-transitory storage medium of claim 9 , wherein the image is a partial image, the operations further comprising accessing missing data from previous images or from a synthetic image, or from a snapshot of the image.