Importation, presentation, and persistent storage of data

• US 9,836,494 B2
• Filed: 05/14/2016
• Issued: 12/05/2017
• Est. Priority Date: 05/14/2015
• Status: Active Grant

• Current Assignee: Deephaven Data Labs, LLC
• Original Assignee: Illumon LLC
• Inventors: Caudy, Ryan, Kent, IV, David R., Wright, Charles, Teodorescu, Radu
• Primary Examiner(s): Wilson, Yolanda L
• Application Number:
  US15/154,999
• Publication Number:
  US 20160335163A1
• Time in Patent Office: 570 Days
• CPC Class Codes: G06F 11/1451 by selection of backup contents
• CPC Class Codes: G06F 11/1464 for networked environments
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• CPC Class Codes: G06F 15/17331 Distributed shared memory [DSM], e.g. remote direct memory access [RDMA]
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• CPC Class Codes: G06F 16/144 Query formulation
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• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/221 Column-oriented storage; Management thereof
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• CPC Class Codes: G06F 16/2272 Management thereof
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• CPC Class Codes: G06F 16/2358 : Change logging, detection, and notification replication G06F16/27
• CPC Class Codes: G06F 16/2365 : Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/2372 : Updates performed during offline database operations
• CPC Class Codes: G06F 16/2379 : Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/242 : Query formulation
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• CPC Class Codes: G06F 16/245 : Query processing
• CPC Class Codes: G06F 16/2453 : Query optimisation
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• CPC Class Codes: G06F 16/24537 : of operators
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• CPC Class Codes: G06F 16/24561 : Intermediate data storage techniques for performance improvement
• CPC Class Codes: G06F 16/2457 : with adaptation to user needs
• CPC Class Codes: G06F 16/24575 : using context
• CPC Class Codes: G06F 16/248 : Presentation of query results
• CPC Class Codes: G06F 16/254 : Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• 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 16/278 : Data partitioning, e.g. horizontal or vertical partitioning
• CPC Class Codes: G06F 16/285 : Clustering or classification
• CPC Class Codes: G06F 16/9024 : Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/907 : Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/951 : Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 : Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 : Presentation of query results
• CPC Class Codes: G06F 16/9566 : URL specific, e.g. using aliases, detecting broken or misspelled links
• CPC Class Codes: G06F 16/9574 : of access to content, e.g. by caching
• CPC Class Codes: G06F 17/40 : Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: G06F 21/00 : Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
• CPC Class Codes: G06F 21/6209 : to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself
• CPC Class Codes: G06F 2201/805 : Real-time
• CPC Class Codes: G06F 2201/84 : Using snapshots, i.e. a logical point-in-time copy of the data
• CPC Class Codes: G06F 2212/1052 : Security improvement
• CPC Class Codes: G06F 2212/154 : Networked environment
• CPC Class Codes: G06F 2212/163 : Server or database system
• CPC Class Codes: G06F 2212/60 : Details of cache memory
• CPC Class Codes: G06F 3/0481 : based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/0482 : Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/0483 : Interaction with page-structured environments, e.g. book metaphor
• CPC Class Codes: G06F 3/04847 : Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 3/0485 : Scrolling or panning
• CPC Class Codes: G06F 3/04895 : Guidance during keyboard input operation, e.g. prompting
• CPC Class Codes: G06F 3/0605 : by facilitating the interaction with a user or administrator
• CPC Class Codes: G06F 3/0656 : Data buffering arrangements
• CPC Class Codes: G06F 3/067 : Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: G06F 40/117 : Tagging; Marking up details of markup languages G06F40/143; Designating a block; Setting of attributes style sheets, e.g. eXtensible Stylesheet Language Transformation [XSLT], G06F40/154
• CPC Class Codes: G06F 40/134 : Hyperlinking
• CPC Class Codes: G06F 40/166 : Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/174 : Form filling; Merging
• CPC Class Codes: G06F 40/177 : of tables; using ruled lines
• CPC Class Codes: G06F 40/18 : of spreadsheets form-filling G06F40/174
• CPC Class Codes: G06F 40/183 : Tabulation, i.e. one-dimensional positioning
• CPC Class Codes: G06F 40/216 : using statistical methods
• CPC Class Codes: G06F 40/274 : Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 8/30 : Creation or generation of source code
• CPC Class Codes: G06F 8/41 : Compilation
• CPC Class Codes: G06F 8/427 : Parsing
• CPC Class Codes: G06F 8/60 : Software deployment
• CPC Class Codes: G06Q 40/04 : Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: H04L 12/18 : for broadcast or conference , e.g. multicast
• CPC Class Codes: H04L 51/046 : Interoperability with other network applications or services
• CPC Class Codes: H04L 51/212 : using filtering or selective blocking
• CPC Class Codes: H04L 61/5069 : for group communication, multicast communication or broadcast communication
• CPC Class Codes: H04L 63/101 : Access control lists [ACL]
• CPC Class Codes: H04L 63/102 : Entity profiles
• CPC Class Codes: H04L 67/01 : Protocols
• CPC Class Codes: H04L 67/1001 : for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/141 : Setup of application sessions admission control or resource allocation in data switching networks H04L47/70
• CPC Class Codes: H04L 67/34 : involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/56 : Provisioning of proxy services store-and-forward switching systems in data switching networks H04L12/54
• CPC Class Codes: H04L 67/566 : Grouping or aggregating service requests, e.g. for unified processing
• CPC Class Codes: H04L 67/568 : Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/5681 : Pre-fetching or pre-delivering data based on network characteristics
• CPC Class Codes: H04L 69/16 : Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]

Abstract

The disclosed subject matter includes systems, methods, and computer readable medium for importing/presenting data for computer system use. A logging process can receive data. Log file(s) can be created in memory. A listener can parse received log data to be appended to columns. A log tailer process can transmit data read from log file(s) to data import server(s). At data import server(s): the data can be written to column(s) of the associated table location in cache memory buffers, for immediate use by data consumers and for writing to persistent storage; a current number of rows of data written to the cache memory buffers can be confirmed; column data can be synchronized from the cache memory buffers into a persistent table data store; and table location metadata can be updated. A check point can be written for the persisted data for resuming import after a fault.

Claims

1. A computer data system for importing and presenting data for a computer system having cache memory buffers, persistent storage, and a listener device, the computer data system comprising

one or more processors;

computer readable storage coupled to the one or more processors, the computer readable storage having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including;

starting a logging process to receive a stream of data;

creating in a computer memory device one or more log files;

starting a log tailer process for reading data from the one or more log files and transmitting data read from log files;

starting a listener to parse received log data to be appended to columns;

receiving a stream of data by the logging process;

the logging process writing the data into the one or more log files in a computer memory;

the log tailer process reading data from the one or more log files;

the log tailer process transmitting the data to one or more data import servers;

parsing the data with the listener;

at the one or more data import servers, writing the data to one or more columns of the associated table location in cache memory buffers, for immediate use by data consumers and for writing to persistent storage;

confirming, at the one or more data import servers, a current number of rows of data written to the cache memory buffers;

synchronizing, at the one or more data import servers, the column data from the cache memory buffers into a persistent table data store;

updating, at the one or more data import servers, table location metadata; and

writing a check point for the persisted data for use in resuming import after a system fault.

2. The computer data system of claim 1, the operations further including:

advertising an existence of imported table location data available in the cache memory buffers.

3. The computer data system of claim 1, wherein writing a check point for the cache memory buffers includes at least one of:

a table location size in rows; and

a log file and byte-offset to resume from for the table location next row.

4. The computer data system of claim 1, the operations further including:

writing state associated with each table location imported from the application process logs.

5. The computer data system of claim 4, wherein the processor applies the state to validate data written to the persistent table data store.

6. The computer data system of claim 1, wherein the logging process writes the data into the one or more log files in a computer memory by applying schema-specified, generated code to format the data;

and wherein the listener is generated from a schema.

7. The system of claim 6, wherein the table location metadata comprises a version identifier of a schema used to generate the schema-specified, generated code used to format the data.

8. The computer data system of claim 1, wherein the one or more log files are row-oriented.

9. The system of claim 1, wherein the one or more data import servers are remote from the log trailer process.

10. The system of claim 1, the operations further including:

generating the listener based on a schema; and

generating formatting code based on the same schema,

wherein the logging process writing the data into the one or more log files in a computer memory comprises formatting the data by executing the generated formatting code to format the data for output to the one or more log files.

11. A method for importing and presenting data for computer system use, the method comprising:

starting with a processor a logging process to receive a stream of data;

creating in a computer memory device one or more log files;

starting with a processor a log tailer process for reading data from the one or more log files and transmitting data read from log files;

starting a listener to parse received log data to be appended to columns;

receiving a stream of data by the logging process;

the logging process writing the data into the one or more log files in a computer memory;

the log toiler process reading data from the one or more log files;

the log tailer process transmitting the data to one or more data import servers;

parsing the data with the listener;

at the one or more data import servers, writing the data to one or more columns of the associated table location in cache memory buffers, for immediate use by data consumers and for writing to persistent storage;

confirming, at the one or more data import servers, a current number of rows of data written to the cache memory buffers;

synchronizing, at the one or more data import servers, the column data from the cache memory buffers into a persistent table data store;

updating, at the one or more data import servers, table location metadata; and

writing a check point for the persisted data for use in resuming import after a system fault.

12. The method of claim 11, further comprising:

advertising an existence of imported table location data available in the cache memory buffers.

13. The method of claim 11, wherein writing a check point for the cache memory buffers includes at least one of:

a table location size in rows; and

a log file and byte-offset to resume from for the table location next row.

14. The method of claim 11, further comprising:

writing state associated with each table location imported from the application process logs.

15. The method of claim 11, wherein the processor applies the state to validate data written to the persistent table data store.

16. The method of claim 11, wherein the logging process writes the data into the one or more log files in a computer memory by applying schema-specified, generated code to format the data;

and wherein the listener is generated from a schema.

17. The method of claim 16, wherein the table location metadata comprises a version identifier of a schema used to generate the schema-specified, generated code used to format the data.

18. The method of claim 11, wherein the one or more log files are row-oriented.

19. The method of claim 11, wherein the one or more data import servers are remote from the log tailer process.

20. The method of claim 11, further comprising:

generating the listener based on a schema; and

generating formatting code based on the same schema,

wherein the logging process writing the data into the one or more log files in a computer memory comprises formatting the data by executing the generated formatting code to format the data for output to the one or more log files.

21. A nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to perform operations including:

starting a logging process to receive a stream of data;

creating in a computer memory device one or more log files,

starting a log tailer process for reading data from the one or more log files and transmitting data read from log files;

starting a listener to parse received log data to be appended to columns;

receiving a stream of data by the logging process;

the logging process writing the data into the one or more log files in a computer memory;

the log tailer process reading data from the one or more log files;

the log tailer process transmitting the data to one or more data import servers;

parsing the data with the listener;

at the one or more data import servers, writing the data to one or more columns of the associated table location in cache memory buffers, for immediate use by data consumers and for writing to persistent storage;

confirming, at the one or more data import servers, a current number of rows of data written to the cache memory buffers;

synchronizing, at the one or more data import servers, the column data from the cache memory buffers into a persistent table data store;

updating, at the one or more data import servers, table location metadata; and

writing a check point for the persisted data for use in resuming import after a system fault.

22. The nontransitory computer readable medium of claim 21, the operations further including:

advertising an existence of imported table location data available in the cache memory buffers.

23. The nontransitory computer readable medium of claim 21, wherein writing a check point for the cache memory buffers includes at least one of:

a table location size in rows; and

a log file and byte-offset to resume from for the table location next row.

24. The nontransitory computer readable medium of claim 21, the operations further including:

writing state associated with each table location imported from the application process logs.

25. The nontransitory computer readable medium of claim 21, wherein the logging process writes the data into the one or more log files in a computer memory by applying schema-specified, generated code to format the data and wherein the listener is generated from a schema.

26. The nontransitory computer readable medium of claim 21, wherein the table location metadata comprises a version identifier of a schema used to generate the schema-specified, generated code used to format the data.

27. The nontransitory computer readable medium of claim 21, wherein the one or more log files are row-oriented.

28. The nontransitory computer readable medium of claim 21, wherein the one or more data import servers are remote from the log tailer process.

29. The nontransitory computer readable medium of claim 21, the operations further including:

generating the listener based on a schema; and

generating formatting code based on the same schema,

wherein the logging process writing the data into the one or more log files in a computer memory comprises formatting the data by executing the generated formatting code to format the data for output to the one or more log files.