CN107451214B - Non-primary key query method and distributed NewSQL database system - Google Patents

Non-primary key query method and distributed NewSQL database system Download PDF

Info

Publication number
CN107451214B
CN107451214B CN201710580794.7A CN201710580794A CN107451214B CN 107451214 B CN107451214 B CN 107451214B CN 201710580794 A CN201710580794 A CN 201710580794A CN 107451214 B CN107451214 B CN 107451214B
Authority
CN
China
Prior art keywords
unit
user
query
data
result
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201710580794.7A
Other languages
Chinese (zh)
Other versions
CN107451214A (en
Inventor
晋彤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yunrun Da Data Service Co ltd
Original Assignee
Yunrun Da Data Service Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yunrun Da Data Service Co ltd filed Critical Yunrun Da Data Service Co ltd
Publication of CN107451214A publication Critical patent/CN107451214A/en
Application granted granted Critical
Publication of CN107451214B publication Critical patent/CN107451214B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9017—Indexing; Data structures therefor; Storage structures using directory or table look-up
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2379—Updates performed during online database operations; commit processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2219—Large Object storage; Management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G06F16/2272—Management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2282—Tablespace storage structures; Management thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/242—Query formulation
    • G06F16/2433—Query languages
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2453—Query optimisation
    • G06F16/24534—Query rewriting; Transformation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2453—Query optimisation
    • G06F16/24534—Query rewriting; Transformation
    • G06F16/24542—Plan optimisation
    • G06F16/24545—Selectivity estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471—Distributed queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/31—Indexing; Data structures therefor; Storage structures
    • G06F16/316—Indexing structures
    • G06F16/319—Inverted lists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/466—Transaction processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00—Indexing scheme relating to G06F9/00
    • G06F2209/50—Indexing scheme relating to G06F9/50
    • G06F2209/5022—Workload threshold

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Operations Research (AREA)
  • Computing Systems (AREA)
  • Fuzzy Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Library & Information Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Computer And Data Communications (AREA)
  • Devices For Executing Special Programs (AREA)

Abstract

The invention discloses a distributed NewSQL database system, which comprises: accessing the user request in an interface mode of JDCB/ODBC, and returning the query result to the user; the user request comprises a query condition, and the query result is obtained according to the query condition; analyzing the user request, compiling and generating a corresponding execution plan; acquiring the query condition query index table requested by the user according to an execution plan to acquire corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; and returning the query result to the user. The invention also discloses a distributed NewSQL database system. The invention can effectively support the secondary index, thereby efficiently solving the non-primary key query requirement.

Description

Non-primary key query method and distributed NewSQL database system
Technical Field
The invention relates to the technical field of big data, in particular to a non-primary key query method and a distributed NewSQL database system.
Background
Hbase is currently one of the most well-known distributed NoSQL databases in the Hadoop ecosystem. The design concept is derived from the Bigtable of Google. The Hbase main component comprises an HMmaster and an HRegionserver, a table type data model is provided for a user, a main key range is divided into a plurality of regions, the HMmaster is responsible for managing and distributing the regions, and the HRegionserver is responsible for reading and writing data of the regions. However, as more and more applications attempt to migrate to Hbase, Hbase defects become more and more exposed: in practical application, a user often needs to perform multi-dimensional query, and the existing Hbase cannot effectively support non-primary key query.
Disclosure of Invention
The embodiment of the invention aims to provide a non-primary key query method and a distributed NewSQL database system, which can effectively support secondary indexes so as to efficiently solve the non-primary key query requirement.
In order to achieve the above object, an embodiment of the present invention provides a non-primary key query method, which is applicable to a distributed NewSQL database system, including;
accessing a user request in an interface mode of JDCB/ODBC; the user request comprises a query condition, and the query result is obtained according to the query condition;
analyzing the user request, compiling and generating a corresponding execution plan;
acquiring the query condition query index table requested by the user according to an execution plan to acquire corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result;
and returning the query result to the user.
Further, the method also comprises the following steps: and converting the user request into an SQL request in an SQL statement form.
Further, the analyzing the user request, compiling, and generating the corresponding execution plan includes:
judging whether a pre-stored SQL statement corresponding to the SQL request exists in the shared cache pool, if so, outputting an execution plan corresponding to the pre-stored SQL statement, otherwise,
and carrying out syntax check on the SQL request, if the syntax error returns error information to a user, otherwise,
semantic check is carried out on the SQL request, if the semantic error returns error information to the user, otherwise,
carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
selecting a corresponding data connection mode and a corresponding connection sequence according to the selection result of the optimizer;
selecting a searched path according to the connection mode and the connection sequence;
and generating an execution plan according to the search path, and outputting the execution plan.
Correspondingly, an embodiment of the present invention further provides a distributed NewSQL database system, including:
the JDCB/ODBC interface unit is used for carrying out interactive operation with a user, receiving a user request and returning a query result; the user request comprises a query condition, and the query result is obtained according to the query condition;
the system comprises a master unit, an SQLPLaner unit and a data processing unit, wherein the master unit is used for accessing a user request in a JDCB/ODBC interface mode, coordinating data communication among a plurality of processors and managing the whole process, and preferentially sending the user request to the SQLPLaner unit; and the master unit is also used for returning the query result of the data to the JDCB/ODBC interface unit.
The SQLPLaner unit is used for analyzing the user request, compiling and customizing an execution plan according to the user request;
a worker unit for executing the plan in parallel; the Hbase unit is also used for returning the query result of the Hbase unit to the master unit;
the Hbase unit is used for acquiring the query condition query index table requested by the user and acquiring the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; the Hbase unit stores the data table and the index table;
and the distributed transaction manager is used for coordinating multiple parties to finish distributed transaction management when the worker unit execution plan relates to a transaction.
Further, the JDCB/ODBC interface unit is further configured to convert the user request into an SQL request in the form of an SQL statement.
Further, the SQLPlaner unit is configured to:
judging whether a pre-stored SQL statement corresponding to the SQL request exists in the shared cache pool, if so, outputting an execution plan corresponding to the pre-stored SQL statement, otherwise,
and carrying out syntax check on the SQL request, if the syntax error returns error information to a user, otherwise,
semantic check is carried out on the SQL request, if the semantic error returns error information to the user, otherwise,
carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
selecting a corresponding data connection mode and a corresponding connection sequence according to the selection result of the optimizer;
selecting a searched path according to the connection mode and the connection sequence;
and generating an execution plan according to the search path, and outputting the execution plan.
Further, the method also comprises the following steps:
a monitor for taking charge of metadata management, monitoring the load of Region of the hbase unit, and reallocating the Region through the coprocessor module of the hbase unit; the monitor is connected with the master unit.
Further, the monitoring the load of the Region of the hbase unit and the redistributing the Region through the coprocessor module of the hbase unit includes:
receiving data distribution information of the hbase unit, and receiving load information of the worker unit in the master unit, wherein the load information comprises a load deviation value of the worker unit;
comparing the load deviation value of the worker unit with a preset load deviation threshold, and if the load deviation value is judged to exceed the threshold, triggering the hbase unit to perform secondary distribution on the Region on the server with higher hit rate and the Region on the server with lower hit rate;
acquiring the data volume of each Region, judging the data volume of each Region and a preset data volume threshold, and triggering the hbase unit to divide the regions exceeding the preset data volume threshold into two regions if the data volume of the regions is judged to exceed the threshold.
Further, the JDCB/ODBC interface unit includes:
the JDBC application program module is used for receiving the user request, calling the JDBC object method to give an SQL statement and extracting a result to return to the user;
the JDBC driver manager module is used for loading and calling the JDBC driver module for the JDBC application program module;
the JDBC driver module is used for executing the calling of the JDBC object method, sending the SQL statement corresponding to the user request to the bottom database and returning the result obtained from the bottom database to the JDBC application module.
Compared with the prior art, the non-primary key query method and the distributed NewSQL database disclosed by the invention access the user request in a JDCB/ODBC interface mode and are also used for returning the query result to the user; the user request comprises a query condition, and the query result is obtained according to the query condition; analyzing the user request, compiling and generating a corresponding execution plan; acquiring the query condition query index table requested by the user according to an execution plan to acquire corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; the technical scheme of returning the query result to the user can realize secondary indexing, solve the problem that non-primary key query cannot be effectively supported in the prior art, and meet the requirement of non-primary key query of the user.
Drawings
Fig. 1 is a schematic flowchart of a non-primary key query method according to embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a distributed NewSQL database provided in embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a non-primary key query method provided in embodiment 1 of the present invention, where this embodiment is applicable to a distributed NewSQL database system, and the present embodiment specifically includes the following steps:
s1, accessing user request in JDCB/ODBC interface mode; the user request comprises a query condition, and the query result is obtained according to the query condition;
s2, analyzing the user request, compiling and generating a corresponding execution plan;
s3, acquiring the query condition query index table requested by the user according to the execution plan, and acquiring the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result;
and S4, returning the query result to the user.
Further, step S1 further includes: and converting the user request into an SQL request in an SQL statement form.
Further, the parsing, compiling and generating the corresponding execution plan in step S2 includes:
s21, judging whether the shared cache pool has the pre-stored SQL sentence corresponding to the SQL request, if yes, outputting the execution plan corresponding to the pre-stored SQL sentence, if not,
s22, syntax checking the SQL request, if the syntax error returns error information to the user, otherwise,
s23, semantic checking the SQL request, if the semantic error returns error information to the user, otherwise,
s24, carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
s25, selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
s26, selecting a corresponding data connection mode and a connection sequence according to the result of the optimizer selection;
s27, selecting the searched path according to the connection mode and the connection sequence;
and S28, generating an execution plan according to the search path and outputting the execution plan.
When the method is specifically implemented, firstly, a user request is accessed in an interface mode of JDCB/ODBC, and the method is also used for returning a query result to a user; the user request comprises a query condition, and the query result is obtained according to the query condition; then, analyzing the user request, compiling and generating a corresponding execution plan; then, according to an execution plan, acquiring the query condition query index table requested by the user, and acquiring the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; and finally, returning the query result to the user.
The embodiment realizes secondary index, solves the problem that non-primary key query cannot be effectively supported in the prior art, and meets the requirement of non-primary key query of a user.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a distributed NewSQL database system according to embodiment 2 of the present invention, where the embodiment includes:
the JDCB/ODBC interface unit 1 is used for carrying out interactive operation with a user, receiving a user request and returning a query result; the user request comprises a query condition, and the query result is obtained according to the query condition;
the master unit 2 is used for accessing a user request in a mode of the JDCB/ODBC interface unit 1, coordinating data communication among a plurality of processors and managing the whole process, and preferentially sending the user request to the SQLPLanner unit 3; the master unit 2 is also used for returning the query result of the data to the JDCB/ODBC interface unit 1.
The SQLPLaner unit 3 is used for analyzing the user request, compiling and customizing an execution plan according to the user request;
a worker unit 4 for executing the plan in parallel; also used for returning the query result 6 of the hbase unit 6 to the master unit 2;
the hbase unit 6 is configured to obtain the query condition query index table requested by the user, and obtain the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; the hbase unit stores the data table and the index table;
generally, the distributed NewSQL database system of the embodiment allows a user to flexibly establish a secondary index according to specific business logic, in practical application, the user often establishes a plurality of secondary indexes, and dynamically calculates the cost of using the indexes according to query conditions during use, and automatically selects the most appropriate index. The query for rowkey is extremely efficient, so the implementation of the secondary index is to generate an index table for data by using the coprocessors module 61 and the Filter module 62 of the hbase unit 6. The query stage coprocessors module 61 will query the index table according to the index definition and the query condition, and query the data table again according to the query result of the index table. Meanwhile, the overall query speed is improved by utilizing the parallelism of the coprocessors module 61.
And the distributed transaction manager 5 is used for coordinating multiple parties to complete distributed transaction management when the worker unit 4 execution plan relates to a transaction.
Further, the JDCB/ODBC interface unit 1 is further configured to convert the user request into an SQL request in the form of an SQL statement.
Further, the SQLPlaner unit 3 is configured to:
judging whether a pre-stored SQL statement corresponding to the SQL request exists in the shared cache pool, if so, outputting an execution plan corresponding to the pre-stored SQL statement, otherwise,
and carrying out syntax check on the SQL request, if the syntax error returns error information to a user, otherwise,
semantic check is carried out on the SQL request, if the semantic error returns error information to the user, otherwise,
carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
selecting a corresponding data connection mode and a corresponding connection sequence according to the selection result of the optimizer;
selecting a searched path according to the connection mode and the connection sequence;
and generating an execution plan according to the search path, and outputting the execution plan.
Further, this embodiment further includes:
a monitor 8 for managing metadata, monitoring the load of Region of said hbase unit 6, and reallocating Region by the coprocessors module 61 of said hbase unit 6; the monitor is connected with the master unit.
Further, the monitoring the load of the Region of the hbase unit 6 and the redistribution of the Region by the coprocessor module 61 of the hbase unit 6 includes:
receiving data distribution information of the hbase unit 6, and receiving load information of the worker unit 4 in the master unit, wherein the load information comprises a load deviation value of the worker unit;
comparing the load deviation value of the worker unit 4 with a preset load deviation threshold, and if the load deviation value is judged to exceed the threshold, triggering the hbase unit 6 to newly distribute the Region on the server with higher hit rate and the Region on the server with lower hit rate;
acquiring the data volume of each Region, judging the data volume of each Region and a preset data volume threshold, and triggering the hbase unit to divide the regions exceeding the preset data volume threshold into two regions if the data volume of the regions is judged to exceed the threshold.
Further, the JDCB/ODBC interface unit 1 includes:
the JDBC application program module 11 is used for receiving a user request, calling a JDBC object method to give an SQL statement, and extracting a result to return to a user;
a JDBC driver manager module 12, configured to load and call a JDBC driver module 13 for the JDBC application module 11;
the JDBC driver module 13 is configured to execute the invocation of the JDBC object method, send an SQL statement corresponding to the user request to the underlying database, and return a result obtained from the underlying database to the JDBC application module 11.
When the method is implemented specifically, a user request is received through the JDCB/ODBC interface unit 1; then, a user request is accessed through the master unit 2 in a JDCB/ODBC interface mode, and the user request is preferentially sent to the SQLPLanner unit 3; then, the SQLPLaner unit 3 analyzes the user request, and compiles and customizes an execution plan according to the user request; then, the plan is executed in parallel by the worker unit 4; the Hbase unit is also used for returning the query result of the Hbase unit to the master unit; finally, acquiring the query condition query index table requested by the user through an hbase unit 6 to acquire the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; the hbase unit 1 stores the data table and the index table; and the master unit 2 returns the query result of the data to the JDCB/ODBC interface unit 1 to return to the user.
The embodiment realizes secondary index, solves the problem that non-primary key query cannot be effectively supported in the prior art, and meets the requirement of non-primary key query of a user.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (9)

1. A non-primary key query method is applicable to a distributed NewSQL database system and comprises the following steps:
accessing a user request in an interface mode of JDCB/ODBC, wherein the user request comprises a query condition, and the query result is obtained according to the query condition;
analyzing the user request, compiling and generating a corresponding execution plan; when the execution plan relates to a transaction, coordinating multiple parties to complete distributed transaction management;
generating an index table for the data according to the execution plan;
acquiring the query condition query index table requested by the user to acquire corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result;
and returning the query result to the user.
2. The non-primary-key query method of claim 1, further comprising: and converting the user request into an SQL request in an SQL statement form.
3. The method of claim 2, wherein parsing the user request, compiling, and generating the corresponding execution plan comprises:
judging whether a pre-stored SQL statement corresponding to the SQL request exists in the shared cache pool, if so, outputting an execution plan corresponding to the pre-stored SQL statement, otherwise,
and carrying out syntax check on the SQL request, if the syntax error returns error information to a user, otherwise,
semantic check is carried out on the SQL request, if the semantic error returns error information to the user, otherwise,
carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
selecting a corresponding data connection mode and a corresponding connection sequence according to the selection result of the optimizer;
selecting a searched path according to the connection mode and the connection sequence;
and generating an execution plan according to the search path, and outputting the execution plan.
4. A distributed NewSQL database system, comprising:
the JDCB/ODBC interface unit is used for carrying out interactive operation with a user, receiving a user request and returning a query result; the user request comprises a query condition, and the query result is obtained according to the query condition;
the system comprises a master unit, an SQLPLaner unit and a data processing unit, wherein the master unit is used for accessing a user request in a JDCB/ODBC interface mode, coordinating data communication among a plurality of processors and managing the whole process, and preferentially sending the user request to the SQLPLaner unit; the master unit is also used for returning the query result of the data to the JDCB/ODBC interface unit;
the SQLPLaner unit is used for analyzing the user request, compiling and customizing an execution plan according to the user request;
the Hbase unit is used for acquiring the query condition query index table requested by the user and acquiring the corresponding index data; inquiring a data table according to the acquired index data so as to acquire the corresponding inquiry result; the Hbase unit stores the data table and the index table;
a worker unit for executing the plan in parallel; the Hbase unit is also used for returning the query result of the Hbase unit to the master unit;
the Hbase unit further comprises a Filter module and a Coprocessor module;
the Filter module is used for generating an index table aiming at data;
the coprocessors module is used for generating an index table aiming at data, preferentially inquiring the index table according to index definition and inquiry conditions and inquiring the data table again through the inquiry result of the index table;
and the distributed transaction manager is used for coordinating multiple parties to finish distributed transaction management when the worker unit execution plan relates to a transaction.
5. The distributed NewSQL database system of claim 4, wherein the JDCB/ODBC interface unit is further configured to translate the user request into an SQL request in the form of an SQL statement.
6. The distributed NewSQL database system of claim 5, wherein the SQLPLaner unit is to:
judging whether a pre-stored SQL statement corresponding to the SQL request exists in the shared cache pool, if so, outputting an execution plan corresponding to the pre-stored SQL statement, otherwise,
and carrying out syntax check on the SQL request, if the syntax error returns error information to a user, otherwise,
semantic check is carried out on the SQL request, if the semantic error returns error information to the user, otherwise,
carrying out view and expression conversion on the SQL request to obtain a corresponding conversion result;
selecting an optimizer according to the conversion result to obtain a corresponding optimizer selection result;
selecting a corresponding data connection mode and a corresponding connection sequence according to the selection result of the optimizer;
selecting a searched path according to the connection mode and the connection sequence;
and generating an execution plan according to the search path, and outputting the execution plan.
7. The distributed NewSQL database system of claim 4, further comprising:
a monitor for taking charge of metadata management, monitoring a load of a Region of the Hbase unit, and reallocating the Region through a coprocessor module of the Hbase unit; the monitor is connected with the master unit.
8. The distributed NewSQL database system of claim 7, wherein the monitoring of the loading of the Region of the Hbase unit and the redistribution of the Region by the coprocessors module of the Hbase unit comprises:
receiving data distribution information of the Hbase unit, and receiving load information of the worker unit in the master unit, wherein the load information comprises a load deviation value of the worker unit;
comparing the load deviation value of the worker unit with a preset load deviation threshold, and if the load deviation value is judged to exceed the threshold, triggering the Hbase unit to perform secondary distribution on the Region on the server with higher hit rate and the Region on the server with lower hit rate;
acquiring the data volume of each Region, judging the data volume of each Region and a preset data volume threshold, and triggering the Hbase unit to divide the regions exceeding the preset data volume threshold into two regions if the data volume of the Region is judged to exceed the threshold.
9. The distributed NewSQL database system of claim 4, wherein the JDCB/ODBC interface unit comprises:
the JDBC application program module is used for receiving the user request, calling the JDBC object method to give an SQL statement and extracting a result to return to the user;
the JDBC driver manager module is used for loading and calling the JDBC driver module for the JDBC application program module;
the JDBC driver module is used for executing the calling of the JDBC object method, sending the SQL statement corresponding to the user request to the bottom database and returning the result obtained from the bottom database to the JDBC application module.
CN201710580794.7A 2016-09-21 2017-07-17 Non-primary key query method and distributed NewSQL database system Expired - Fee Related CN107451214B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN2016108423997 2016-09-21
CN201610842399.7A CN106446153A (en) 2016-09-21 2016-09-21 Distributed newSQL database system and method

Publications (2)

Publication Number Publication Date
CN107451214A CN107451214A (en) 2017-12-08
CN107451214B true CN107451214B (en) 2020-05-19

Family

ID=58166840

Family Applications (24)

Application Number Title Priority Date Filing Date
CN201610842399.7A Pending CN106446153A (en) 2016-09-21 2016-09-21 Distributed newSQL database system and method
CN201710585103.2A Expired - Fee Related CN107402995B (en) 2016-09-21 2017-07-17 Distributed newSQL database system and method
CN201710580431.3A Active CN107491485B (en) 2016-09-21 2017-07-17 Method for generating execution plan, plan unit device and distributed NewSQ L database system
CN201710580791.3A Active CN107291948B (en) 2016-09-21 2017-07-17 Access method of distributed newSQL database
CN201710580416.9A Expired - Fee Related CN107291947B (en) 2016-09-21 2017-07-17 Semi-structured data query method and distributed NewSQL database system
CN201710580456.3A Expired - Fee Related CN107402988B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and semi-structured data query method
CN201710580403.1A Expired - Fee Related CN107368575B (en) 2016-09-21 2017-07-17 Load-balanced distributed NewSQL database system
CN201710581275.2A Active CN107329837B (en) 2016-09-21 2017-07-17 Load balancing method and unit and distributed NewSQL database system
CN201710581193.8A Expired - Fee Related CN107451219B (en) 2016-09-21 2017-07-17 Method for analyzing second index and distributed New SQL database
CN201710581273.3A Expired - Fee Related CN107451221B (en) 2016-09-21 2017-07-17 Database interface unit device and distributed NewSQL database system
CN201710580435.1A Expired - Fee Related CN107480198B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and full-text retrieval method
CN201710580796.6A Expired - Fee Related CN107402992B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and full-text retrieval establishing method
CN201710580423.9A Active CN107402987B (en) 2016-09-21 2017-07-17 Full-text retrieval method and distributed NewSQL database system
CN201710580417.3A Expired - Fee Related CN107463632B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and data query method
CN201710580739.8A Expired - Fee Related CN107402990B (en) 2016-09-21 2017-07-17 Distributed New SQL database system and semi-structured data storage method
CN201710580720.3A Expired - Fee Related CN107402989B (en) 2016-09-21 2017-07-17 Full-text retrieval establishing method and distributed NewSQL database system
CN201710580794.7A Expired - Fee Related CN107451214B (en) 2016-09-21 2017-07-17 Non-primary key query method and distributed NewSQL database system
CN201710581291.1A Expired - Fee Related CN107463637B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and data storage method
CN201710581229.2A Expired - Fee Related CN107491345B (en) 2016-09-21 2017-07-17 Method for writing picture data and distributed NewSQ L database system
CN201710581256.XA Expired - Fee Related CN107391653B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and picture data storage method
CN201710581237.7A Expired - Fee Related CN107463635B (en) 2016-09-21 2017-07-17 Method for inquiring picture data and distributed NewSQL database system
CN201710580754.2A Expired - Fee Related CN107402991B (en) 2016-09-21 2017-07-17 Method for writing semi-structured data and distributed NewSQL database system
CN201710580752.3A Expired - Fee Related CN107247808B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and picture data query method
CN201710581195.7A Expired - Fee Related CN107451220B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system

Family Applications Before (16)

Application Number Title Priority Date Filing Date
CN201610842399.7A Pending CN106446153A (en) 2016-09-21 2016-09-21 Distributed newSQL database system and method
CN201710585103.2A Expired - Fee Related CN107402995B (en) 2016-09-21 2017-07-17 Distributed newSQL database system and method
CN201710580431.3A Active CN107491485B (en) 2016-09-21 2017-07-17 Method for generating execution plan, plan unit device and distributed NewSQ L database system
CN201710580791.3A Active CN107291948B (en) 2016-09-21 2017-07-17 Access method of distributed newSQL database
CN201710580416.9A Expired - Fee Related CN107291947B (en) 2016-09-21 2017-07-17 Semi-structured data query method and distributed NewSQL database system
CN201710580456.3A Expired - Fee Related CN107402988B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and semi-structured data query method
CN201710580403.1A Expired - Fee Related CN107368575B (en) 2016-09-21 2017-07-17 Load-balanced distributed NewSQL database system
CN201710581275.2A Active CN107329837B (en) 2016-09-21 2017-07-17 Load balancing method and unit and distributed NewSQL database system
CN201710581193.8A Expired - Fee Related CN107451219B (en) 2016-09-21 2017-07-17 Method for analyzing second index and distributed New SQL database
CN201710581273.3A Expired - Fee Related CN107451221B (en) 2016-09-21 2017-07-17 Database interface unit device and distributed NewSQL database system
CN201710580435.1A Expired - Fee Related CN107480198B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and full-text retrieval method
CN201710580796.6A Expired - Fee Related CN107402992B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and full-text retrieval establishing method
CN201710580423.9A Active CN107402987B (en) 2016-09-21 2017-07-17 Full-text retrieval method and distributed NewSQL database system
CN201710580417.3A Expired - Fee Related CN107463632B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and data query method
CN201710580739.8A Expired - Fee Related CN107402990B (en) 2016-09-21 2017-07-17 Distributed New SQL database system and semi-structured data storage method
CN201710580720.3A Expired - Fee Related CN107402989B (en) 2016-09-21 2017-07-17 Full-text retrieval establishing method and distributed NewSQL database system

Family Applications After (7)

Application Number Title Priority Date Filing Date
CN201710581291.1A Expired - Fee Related CN107463637B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and data storage method
CN201710581229.2A Expired - Fee Related CN107491345B (en) 2016-09-21 2017-07-17 Method for writing picture data and distributed NewSQ L database system
CN201710581256.XA Expired - Fee Related CN107391653B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and picture data storage method
CN201710581237.7A Expired - Fee Related CN107463635B (en) 2016-09-21 2017-07-17 Method for inquiring picture data and distributed NewSQL database system
CN201710580754.2A Expired - Fee Related CN107402991B (en) 2016-09-21 2017-07-17 Method for writing semi-structured data and distributed NewSQL database system
CN201710580752.3A Expired - Fee Related CN107247808B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system and picture data query method
CN201710581195.7A Expired - Fee Related CN107451220B (en) 2016-09-21 2017-07-17 Distributed NewSQL database system

Country Status (1)

Country Link
CN (24) CN106446153A (en)

Families Citing this family (48)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107391744B (en) * 2017-08-10 2020-06-16 东软集团股份有限公司 Data storage method, data reading method, data storage device, data reading device and equipment
CN107480260B (en) * 2017-08-16 2021-02-23 北京奇虎科技有限公司 Big data real-time analysis method and device, computing equipment and computer storage medium
CN107688660B (en) * 2017-09-08 2020-03-13 上海达梦数据库有限公司 Parallel execution plan execution method and device
CN107766572A (en) * 2017-11-13 2018-03-06 北京国信宏数科技有限责任公司 Distributed extraction and visual analysis method and system based on economic field data
CN108228750A (en) * 2017-12-21 2018-06-29 浪潮软件股份有限公司 A kind of distributed data base and its method that data are managed
CN108038215A (en) * 2017-12-22 2018-05-15 上海达梦数据库有限公司 Data processing method and system
CN109992409B (en) * 2018-01-02 2021-07-30 ***通信有限公司研究院 Method, device and system for segmenting data storage area, electronic equipment and medium
CN108829507B (en) * 2018-03-30 2019-07-26 北京百度网讯科技有限公司 The resource isolation method, apparatus and server of distributed data base system
CN108664616A (en) * 2018-05-14 2018-10-16 浪潮软件集团有限公司 ROWID-based Oracle data batch acquisition method
CN108846044A (en) * 2018-05-30 2018-11-20 浪潮软件股份有限公司 A kind of map application dispositions method and device
CN108920519A (en) * 2018-06-04 2018-11-30 贵州数据宝网络科技有限公司 One-to-many data supply system and method
CN109033209B (en) * 2018-06-29 2021-12-31 新华三大数据技术有限公司 Spark storage process processing method and device
CN109241076A (en) * 2018-08-01 2019-01-18 上海依图网络科技有限公司 A kind of data query method and device
CN109271428A (en) * 2018-09-11 2019-01-25 北京市计算中心 Data pick-up method and method for exhibiting data based on geography information
CN109408591B (en) * 2018-10-12 2021-11-09 北京聚云位智信息科技有限公司 Decision-making distributed database system supporting SQL (structured query language) driven AI (Artificial Intelligence) and feature engineering
CN109298976B (en) * 2018-10-17 2022-04-12 成都索贝数码科技股份有限公司 Heterogeneous database cluster backup system and method
CN109408515A (en) * 2018-11-01 2019-03-01 郑州云海信息技术有限公司 A kind of index execution method and apparatus
CN109684412A (en) * 2018-12-25 2019-04-26 成都虚谷伟业科技有限公司 A kind of distributed data base system
CN109726250B (en) * 2018-12-27 2020-01-17 星环信息科技（上海）有限公司 Data storage system, metadata database synchronization method and data cross-domain calculation method
CN111488340B (en) * 2019-01-29 2023-09-12 菜鸟智能物流控股有限公司 Data processing method and device and electronic equipment
CN110046161A (en) * 2019-03-18 2019-07-23 平安普惠企业管理有限公司 Method for writing data and device, storage medium, electronic equipment
CN110086602B (en) * 2019-04-16 2022-02-11 上海交通大学 Rapid implementation method of SM3 password hash algorithm based on GPU
CN110110234B (en) * 2019-05-13 2020-10-16 重庆天蓬网络有限公司 Big data real-time searching system and method
CN110275901B (en) * 2019-06-25 2021-08-24 北京创鑫旅程网络技术有限公司 Cache data calling method and device
CN110457363B (en) * 2019-07-05 2023-11-21 中国平安人寿保险股份有限公司 Query method, device and storage medium based on distributed database
CN110413642B (en) * 2019-08-02 2022-05-27 北京快立方科技有限公司 Application-unaware fragmentation database parsing and optimizing method
CN110569257B (en) * 2019-09-16 2022-04-01 上海达梦数据库有限公司 Data processing method, corresponding device, equipment and storage medium
CN110704437B (en) * 2019-09-26 2022-05-20 上海达梦数据库有限公司 Method, device, equipment and storage medium for modifying database query statement
CN112688976A (en) * 2019-10-17 2021-04-20 广州迈安信息科技有限公司 Data processing transmission service system adopting JDBC/HTTP standard
CN110888919B (en) * 2019-12-04 2023-06-30 阳光电源股份有限公司 HBase-based method and device for statistical analysis of big data
CN113032479A (en) * 2019-12-24 2021-06-25 上海昂创信息技术有限公司 HBase non-primary key indexing method and HBase system
CN111309581B (en) * 2020-02-28 2023-09-12 中国工商银行股份有限公司 Application performance detection method and device in database upgrading scene
CN111651453B (en) * 2020-04-30 2024-02-06 中国平安财产保险股份有限公司 User history behavior query method and device, electronic equipment and storage medium
CN113760960A (en) * 2020-06-01 2021-12-07 北京搜狗科技发展有限公司 Information generation method and device for generating information
CN111797112B (en) * 2020-06-05 2022-04-01 武汉大学 PostgreSQL preparation statement execution optimization method
CN113806611A (en) * 2020-06-17 2021-12-17 海信集团有限公司 Method and equipment for storing search engine results
CN111930705B (en) * 2020-07-07 2023-03-14 中国电子科技集团公司电子科学研究院 Binary message protocol data processing method and device
CN112148792B (en) * 2020-09-16 2024-04-12 鹏城实验室 Partition data adjustment method, system and terminal based on HBase
CN112052347B (en) * 2020-10-09 2024-06-04 北京百度网讯科技有限公司 Image storage method and device and electronic equipment
CN112416925B (en) * 2020-11-02 2024-04-09 浙商银行股份有限公司 Query method based on ordered distributed index structure and distributed database system
CN112364033B (en) * 2021-01-13 2021-04-13 北京云真信科技有限公司 Data retrieval system
CN113760900A (en) * 2021-02-19 2021-12-07 西安京迅递供应链科技有限公司 Method and device for real-time data summarization and interval summarization
CN112905615B (en) * 2021-03-02 2023-03-24 浪潮云信息技术股份公司 Distributed consistency protocol submission method and system based on sequence verification
CN112925841B (en) * 2021-03-26 2022-11-08 瀚高基础软件股份有限公司 Distributed JDBC implementation method, device and computer-readable storage medium
CN113407662B (en) * 2021-08-19 2021-12-14 深圳市明源云客电子商务有限公司 Sensitive word recognition method, system and computer readable storage medium
CN113742370B (en) * 2021-11-02 2022-04-19 阿里云计算有限公司 Data query method and statistical information ciphertext generation method of full-encryption database
CN115129724A (en) * 2022-08-29 2022-09-30 畅捷通信息技术股份有限公司 Statistical report paging method, system, equipment and medium
CN116861455B (en) * 2023-06-25 2024-04-26 上海数禾信息科技有限公司 Event data processing method, system, electronic device and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289482A (en) * 2011-08-02 2011-12-21 北京航空航天大学 Unstructured data query method
CN103150304A (en) * 2011-12-06 2013-06-12 郑红云 Cloud database system

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477568A (en) * 2009-02-12 2009-07-08 清华大学 Integrated retrieval method for structured data and non-structured data
CN101567006B (en) * 2009-05-25 2012-07-04 中兴通讯股份有限公司 Database system and distributed SQL statement execution plan reuse method
CN102163195B (en) * 2010-02-22 2013-04-24 北京东方通科技股份有限公司 Query optimization method based on unified view of distributed heterogeneous database
CN102375853A (en) * 2010-08-24 2012-03-14 ***通信集团公司 Distributed database system, method for building index therein and query method
CN102201010A (en) * 2011-06-23 2011-09-28 清华大学 Distributed database system without sharing structure and realizing method thereof
CN103577407B (en) * 2012-07-19 2016-10-12 国际商业机器公司 Querying method and inquiry unit for distributed data base
US20140074860A1 (en) * 2012-09-12 2014-03-13 Pingar Holdings Limited Disambiguator
CN102902932B (en) * 2012-09-18 2015-12-02 武汉华工安鼎信息技术有限责任公司 The using method of the outside encrypting and deciphering system of the database based on SQL rewrite
CN103092970A (en) * 2013-01-24 2013-05-08 华为技术有限公司 Database operation method and device
US9773021B2 (en) * 2013-01-30 2017-09-26 Hewlett-Packard Development Company, L.P. Corrected optical property value-based search query
CN103377292B (en) * 2013-07-02 2017-02-15 华为技术有限公司 Database result set caching method and device
US20150039587A1 (en) * 2013-07-31 2015-02-05 Oracle International Corporation Generic sql enhancement to query any semi-structured data and techniques to efficiently support such enhancements
CN103473321A (en) * 2013-09-12 2013-12-25 华为技术有限公司 Database management method and system
CN104794123B (en) * 2014-01-20 2018-07-27 阿里巴巴集团控股有限公司 A kind of method and device building NoSQL database indexes for semi-structured data
CN103984726B (en) * 2014-05-16 2017-03-29 上海新炬网络信息技术有限公司 A kind of local correction method of data base's implement plan
CN104133858B (en) * 2014-07-15 2017-08-01 武汉邮电科学研究院 Intelligence analysis system with double engines and method based on row storage
CN104503985A (en) * 2014-12-03 2015-04-08 浪潮电子信息产业股份有限公司 Method for automatically creating Solr index file by Hbase data
CN104572895B (en) * 2014-12-24 2018-02-23 天津南大通用数据技术股份有限公司 MPP databases and Hadoop company-datas interoperability methods, instrument and implementation method
CN104731922A (en) * 2015-03-26 2015-06-24 江苏物联网研究发展中心 System and method for rapidly retrieving structural data based on distributed type database HBase
CN104750815B (en) * 2015-03-30 2017-11-03 浪潮集团有限公司 The storage method and device of a kind of Lob data based on HBase
CN104731945B (en) * 2015-03-31 2018-04-06 浪潮集团有限公司 A kind of text searching method and device based on HBase
CN105389375B (en) * 2015-11-18 2018-10-02 福建师范大学 A kind of image index setting method, system and search method based on visible range
CN105740410A (en) * 2016-01-29 2016-07-06 浪潮电子信息产业股份有限公司 Data statistics method based on Hbase secondary index

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289482A (en) * 2011-08-02 2011-12-21 北京航空航天大学 Unstructured data query method
CN103150304A (en) * 2011-12-06 2013-06-12 郑红云 Cloud database system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Apache Phoenix;@ApachePhoenix;《Apache.org》;20141029;第1-59页 *
Phoenix;James Taylor;《Apache.org》;20141029;第1-108页 *

Also Published As

Publication number Publication date
CN107247808B (en) 2020-01-10
CN107402992B (en) 2020-06-09
CN107480198A (en) 2017-12-15
CN107402991A (en) 2017-11-28
CN107451219B (en) 2020-06-09
CN107451220A (en) 2017-12-08
CN107451220B (en) 2020-06-09
CN107402990A (en) 2017-11-28
CN107451214A (en) 2017-12-08
CN107402992A (en) 2017-11-28
CN107463637B (en) 2020-05-19
CN107391653B (en) 2020-05-19
CN107451221B (en) 2020-09-04
CN107402988A (en) 2017-11-28
CN107463632B (en) 2020-06-09
CN107480198B (en) 2020-05-19
CN107402990B (en) 2020-06-09
CN107402987A (en) 2017-11-28
CN107402987B (en) 2020-04-03
CN107391653A (en) 2017-11-24
CN107491485B (en) 2020-08-04
CN107291947B (en) 2020-03-10
CN107291948A (en) 2017-10-24
CN107291947A (en) 2017-10-24
CN107329837B (en) 2020-06-09
CN107402995B (en) 2020-06-09
CN107451221A (en) 2017-12-08
CN107491345A (en) 2017-12-19
CN107491485A (en) 2017-12-19
CN107451219A (en) 2017-12-08
CN107463637A (en) 2017-12-12
CN107463635B (en) 2020-09-25
CN107368575B (en) 2020-06-09
CN107491345B (en) 2020-08-04
CN107402988B (en) 2020-01-03
CN107463632A (en) 2017-12-12
CN107247808A (en) 2017-10-13
CN107402995A (en) 2017-11-28
CN107463635A (en) 2017-12-12
CN107329837A (en) 2017-11-07
CN107368575A (en) 2017-11-21
CN107402989B (en) 2020-10-27
CN107291948B (en) 2020-05-19
CN106446153A (en) 2017-02-22
CN107402991B (en) 2020-05-19
CN107402989A (en) 2017-11-28

Similar Documents

Publication Publication Date Title
CN107451214B (en) Non-primary key query method and distributed NewSQL database system
KR101621137B1 (en) Low latency query engine for apache hadoop
CN106897322B (en) A kind of access method and device of database and file system
US9128991B2 (en) Techniques to perform in-database computational programming
US8682876B2 (en) Techniques to perform in-database computational programming
US9298775B2 (en) Changing the compression level of query plans
US20160140205A1 (en) Queries involving multiple databases and execution engines
CN110188573B (en) Partition authorization method, partition authorization device, partition authorization equipment and computer readable storage medium
US10719506B2 (en) Natural language query generation
CN110019314B (en) Dynamic data packaging method based on data item analysis, client and server
US10157234B1 (en) Systems and methods for transforming datasets
US20150269234A1 (en) User Defined Functions Including Requests for Analytics by External Analytic Engines
CN104598587A (en) Invoice authenticity inquiry method and system
CN112364052A (en) Heterogeneous data management method, device, equipment and computer readable storage medium
US10936587B2 (en) Techniques and architectures for providing and operating an application-aware database environment
CN116739336A (en) Power grid disaster early warning method and system based on multi-source heterogeneous data fusion model
US10169410B2 (en) Merge of stacked calculation views with higher level programming language logic

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20200326

Address after: Room 5303, 1023 Gaopu Road, Tianhe Software Park, Tianhe District, Guangzhou City, Guangdong 510000

Applicant after: Yunrun Da Data Service Co.,Ltd.

Address before: 510000 Yuexiu District, Guangzhou Province, north of the text of the text of the North Road, No. 68, the east wing of the text of the building on the ground floor, No. six, No. 602, No.

Applicant before: GUANGZHOU TEDAO INFORMATION TECHNOLOGY Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200519

Termination date: 20210717

CF01 Termination of patent right due to non-payment of annual fee