UNIVERSAL DATA PIPELINE

• US 20180196838A1
• Filed: 03/07/2018
• Published: 07/12/2018
• Est. Priority Date: 11/05/2014
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: Meacham, Jacob, Harris, Michael, Brodman, Gustav, Cuthriell, Lynn, Korus, Hannah, Toth, Brian, Hsiao, Jonathan, Elliot, Mark, Schimpf, Brian, Garland, Michael, Nguyen, Evelyn
• Granted Patent: US 10,191,926 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/1865 Transactional file systems
• CPC Class Codes: G06F 16/1873 Versioning file systems, temporal file systems, e.g. file system supporting different historic versions of files
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/219 Managing data history or versioning querying versioned data G06F16/2474; querying temporal data G06F16/2477
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/2386 Bulk updating operations data conversion details G06F16/258
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses

Abstract

A history preserving data pipeline computer system and method. In one aspect, the history preserving data pipeline system provides immutable and versioned datasets. Because datasets are immutable and versioned, the system makes it possible to determine the data in a dataset at a point in time in the past, even if that data is no longer in the current version of the dataset.

Claims

1. A method comprising:

at one or more computing devices comprising one or more processors and one or more storage media storing one or more computer programs executed by the one or more processors to perform the method, performing operations comprising;

maintaining a build catalog comprising a plurality of build catalog entries each comprising an identifier of a version of a derived dataset corresponding to the build catalog entry, one or more dataset build dependencies of the version of the derived dataset corresponding to the build catalog entry, each of the one or more dataset build dependencies comprising an identifier of a version of a child dataset from which the version of the derived dataset corresponding to the build catalog entry is derived, and a derivation program build dependency that can be executed to generate the version of the derived dataset corresponding to the build catalog entry;

creating a new version of a particular derived dataset by executing a particular version of a particular derivation program; and

adding a new build catalog entry to the build catalog, the new build catalog entry comprising an identifier of the new version of the particular derived dataset, an identifier of the particular version of the particular derivation program, and identifiers of one or more particular child dataset versions that were provided as input to the particular derivation program.

2. The method of claim 1, wherein the derivation program build dependency of the version of the derived dataset corresponding to the build catalog entry comprises an identifier of a version of a derivation program executed to generate the version of the derived dataset corresponding to the build catalog entry.

3. The method of claim 2, further comprising:

storing a first version of a derived data set using a data lake;

updating another data set to produce a second version of other data set;

storing a second version of the derived data set in the data lake in context of a successful transaction; and

wherein the data lake comprises a distributed file system.

4. The method of claim 3, wherein an identifier of the first version of the derived dataset is an identifier assigned to a commit of a transaction that stored the first version of the derived dataset;

and

wherein an identifier of the second version of the derived dataset is an identifier assigned to a commit of a transaction that stored the second version of the derived dataset.

5. The method of claim 3, wherein the first version of the derived dataset is stored in a first set of one or more data containers and the second version of the derived dataset is stored in a second set of one or more data containers.

6. The method of claim 5, wherein the second set of one or more data containers comprises delta encodings reflecting deltas between the first version of the derived dataset and the second version of the derived dataset.

7. The method of claim 3, wherein the first version of the derivation program is executed to produce the first version of the derived dataset.

8. The method of claim 3, wherein the first version of the derivation program is executed to produce the second version of the derived dataset.

9. The method of claim 2, further comprising:

creating the new version of the particular derived dataset based on providing one or more particular child dataset versions as input to the executing the particular version of the particular derivation program; and

wherein the new build catalog entry comprises an identifier of each of the one or more particular child dataset versions.

10. The method of claim 9, wherein the creating the new version of the particular derived dataset is based on providing one or more particular child dataset versions as input to the executing the particular version of the particular derivation program.

11. A computer system comprising:

one or more hardware processors;

one or more computer programs; and

one or more storage media storing the one or more computer programs for execution by the one or more hardware processors, the one or more computer programs comprising instructions for performing operations comprising;

maintaining a build catalog comprising a plurality of build catalog entries each comprising an identifier of a version of a derived dataset corresponding to the build catalog entry, one or more dataset build dependencies of the version of the derived dataset corresponding to the build catalog entry, each of the one or more dataset build dependencies comprising an identifier of a version of a child dataset from which the version of the derived dataset corresponding to the build catalog entry is derived, and a derivation program build dependency that can be executed to generate the version of the derived dataset corresponding to the build catalog entry;

creating a new version of a particular derived dataset by executing a particular version of a particular derivation program; and

adding a new build catalog entry to the build catalog, the new build catalog entry comprising an identifier of the new version of the particular derived dataset, an identifier of the particular version of the particular derivation program, and identifiers of one or more particular child dataset versions that were provided as input to the particular derivation program.

12. The computer system of claim 11, wherein the derivation program build dependency of the version of the derived dataset corresponding to the build catalog entry comprises an identifier of a version of a derivation program executed to generate the version of the derived dataset corresponding to the build catalog entry.

13. The computer system of claim 12, wherein the one or more storage media stores additional computer programs for performing operations comprising:

storing a first version of a derived data set using a data lake;

updating another data set to produce a second version of other data set;

storing a second version of the derived data set in the data lake in context of a successful transaction; and

wherein the data lake comprises a distributed file system.

14. The computer system of claim 13, wherein an identifier of the first version of the derived dataset is an identifier assigned to a commit of a transaction that stored the first version of the derived dataset;

and

wherein an identifier of the second version of the derived dataset is an identifier assigned to a commit of a transaction that stored the second version of the derived dataset.

15. The computer system of claim 13, wherein the first version of the derived dataset is stored in a first set of one or more data containers and the second version of the derived dataset is stored in a second set of one or more data containers.

16. The computer system of claim 15, wherein the second set of one or more data containers comprises delta encodings reflecting deltas between the first version of the derived dataset and the second version of the derived dataset.

17. The computer system of claim 13, wherein the first version of the derivation program is executed to produce the first version of the derived dataset.

18. The computer system of claim 13, wherein the first version of the derivation program is executed to produce the second version of the derived dataset.

19. The computer system of claim 12, wherein the one or more storage media stores additional computer programs for performing operations comprising:

creating the new version of the particular derived dataset based on providing one or more particular child dataset versions as input to the executing the particular version of the particular derivation program; and

wherein the new build catalog entry comprises an identifier of each of the one or more particular child dataset versions.

20. The computer system of claim 19, wherein the creating the new version of the particular derived dataset is based on providing one or more particular child dataset versions as input to the executing the particular version of the particular derivation program.