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Tantor Basic Edition 16.8 documentation

Table of contents:

  • Preface
    • 1.  What Is Tantor BE?
    • 2. A Brief History of PostgreSQL
    • 3. What are the differences between Tantor BE 16 and PostgreSQL 16
    • 4. Conventions
    • 5. Bug Reporting Guidelines
  • Part I. Tutorial
    • Chapter 1. Synopsis
    • Chapter 2. The SQL Language
    • Chapter 3. Advanced Features
  • Part II. The SQL Language
    • Chapter 4. SQL Syntax
    • Chapter 5. Data Definition
    • Chapter 6. Data Manipulation
    • Chapter 7. Queries
    • Chapter 8. Data Types
    • Chapter 9. Functions and Operators
    • Chapter 10. Type Conversion
    • Chapter 11. Indexes
    • Chapter 12. Full Text Search
    • Chapter 13. Concurrency Control
    • Chapter 14. Performance Tips
    • Chapter 15. Parallel Query
  • Part III. Server Administration
    • Chapter 16. Installation from Binaries
    • Chapter 17. Server Setup and Operation
    • Chapter 18. Server Configuration
    • Chapter 19. Client Authentication
    • Chapter 20. Database Roles
    • Chapter 21. Managing Databases
    • Chapter 22. Localization
    • Chapter 23. Routine Database Maintenance Tasks
    • Chapter 24. Backup and Restore
    • Chapter 25. High Availability, Load Balancing, and Replication
    • Chapter 26. Monitoring Database Activity
    • Chapter 27. Monitoring Disk Usage
    • Chapter 28. Reliability and the Write-Ahead Log
    • Chapter 29. Logical Replication
    • Chapter 30. Just-in-Time Compilation (JIT)
  • Part IV. Client Interfaces
    • Chapter 31. libpq — C Library
    • Chapter 32. Large Objects
    • Chapter 33. ECPG — Embedded SQL in C
    • Chapter 34. The Information Schema
  • Part V. Server Programming
    • Chapter 35. Extending SQL
    • Chapter 36. Triggers
    • Chapter 37. Event Triggers
    • Chapter 38. The Rule System
    • Chapter 39. Procedural Languages
    • Chapter 40. PL/pgSQL — SQL Procedural Language
    • Chapter 41. PL/Tcl — Tcl Procedural Language
    • Chapter 42. PL/Perl — Perl Procedural Language
    • Chapter 43. PL/Python — Python Procedural Language
    • Chapter 44. Server Programming Interface
    • Chapter 45. Background Worker Processes
    • Chapter 46. Logical Decoding
    • Chapter 47. Replication Progress Tracking
    • Chapter 48. Archive Modules
  • Part VI. Reference
    • SQL Commands
    • PostgreSQL Client Applications
    • PostgreSQL Server Applications
  • Part VII. Internals
    • Chapter 49. Overview of PostgreSQL Internals
    • Chapter 50. System Catalogs
    • Chapter 51. System Views
    • Chapter 52. Frontend/Backend Protocol
    • Chapter 53. PostgreSQL Coding Conventions
    • Chapter 54. Native Language Support
    • Chapter 55. Writing a Procedural Language Handler
    • Chapter 56. Writing a Foreign Data Wrapper
    • Chapter 57. Writing a Table Sampling Method
    • Chapter 58. Writing a Custom Scan Provider
    • Chapter 59. Genetic Query Optimizer
    • Chapter 60. Table Access Method Interface Definition
    • Chapter 61. Index Access Method Interface Definition
    • Chapter 62. Generic WAL Records
    • Chapter 63. Custom WAL Resource Managers
    • Chapter 64. B-Tree Indexes
    • Chapter 65. GiST Indexes
    • Chapter 66. SP-GiST Indexes
    • Chapter 67. GIN Indexes
    • Chapter 68. BRIN Indexes
    • Chapter 69. Hash Indexes
    • Chapter 70. Database Physical Storage
    • Chapter 71. Transaction Processing
    • Chapter 72. System Catalog Declarations and Initial Contents
    • Chapter 73. How the Planner Uses Statistics
    • Chapter 74. Backup Manifest Format
  • Part VIII. Appendixes
    • Appendix A. Tantor BE Error Codes
    • Appendix B. Date/Time Support
    • Appendix C. SQL Key Words
    • Appendix D. SQL Conformance
    • Appendix E. Release Notes
    • Appendix F. Additional Supplied Modules and Extensions
    • Appendix G. Additional Supplied Programs
    • Appendix H. Additional External Modules
    • Appendix I. External Projects
    • Appendix J. Tantor BE Limits
    • Appendix K. Acronyms
    • Appendix L. Glossary
    • Appendix M. Color Support
    • Appendix N. Obsolete or Renamed Features
  • Bibliography
  • Index

dblink_get_result

dblink_get_result#

dblink_get_result
dblink_get_result
Prev UpF.13. dblink — connect to other PostgreSQL databasesHome Next

dblink_get_result

dblink_get_result — gets an async query result

Synopsis

dblink_get_result(text connname [, bool fail_on_error]) returns setof record

Description

dblink_get_result collects the results of an asynchronous query previously sent with dblink_send_query. If the query is not already completed, dblink_get_result will wait until it is.

Arguments

connname

Name of the connection to use.

fail_on_error

If true (the default when omitted) then an error thrown on the remote side of the connection causes an error to also be thrown locally. If false, the remote error is locally reported as a NOTICE, and the function returns no rows.

Return Value

For an async query (that is, an SQL statement returning rows), the function returns the row(s) produced by the query. To use this function, you will need to specify the expected set of columns, as previously discussed for dblink.

For an async command (that is, an SQL statement not returning rows), the function returns a single row with a single text column containing the command's status string. It is still necessary to specify that the result will have a single text column in the calling FROM clause.

Notes

This function must be called if dblink_send_query returned 1. It must be called once for each query sent, and one additional time to obtain an empty set result, before the connection can be used again.

When using dblink_send_query and dblink_get_result, dblink fetches the entire remote query result before returning any of it to the local query processor. If the query returns a large number of rows, this can result in transient memory bloat in the local session. It may be better to open such a query as a cursor with dblink_open and then fetch a manageable number of rows at a time. Alternatively, use plain dblink(), which avoids memory bloat by spooling large result sets to disk.

Examples

contrib_regression=# SELECT dblink_connect('dtest1', 'dbname=contrib_regression');
 dblink_connect
----------------
 OK
(1 row)

contrib_regression=# SELECT * FROM
contrib_regression-# dblink_send_query('dtest1', 'select * from foo where f1 < 3') AS t1;
 t1
----
  1
(1 row)

contrib_regression=# SELECT * FROM dblink_get_result('dtest1') AS t1(f1 int, f2 text, f3 text[]);
 f1 | f2 |     f3
----+----+------------
  0 | a  | {a0,b0,c0}
  1 | b  | {a1,b1,c1}
  2 | c  | {a2,b2,c2}
(3 rows)

contrib_regression=# SELECT * FROM dblink_get_result('dtest1') AS t1(f1 int, f2 text, f3 text[]);
 f1 | f2 | f3
----+----+----
(0 rows)

contrib_regression=# SELECT * FROM
contrib_regression-# dblink_send_query('dtest1', 'select * from foo where f1 < 3; select * from foo where f1 > 6') AS t1;
 t1
----
  1
(1 row)

contrib_regression=# SELECT * FROM dblink_get_result('dtest1') AS t1(f1 int, f2 text, f3 text[]);
 f1 | f2 |     f3
----+----+------------
  0 | a  | {a0,b0,c0}
  1 | b  | {a1,b1,c1}
  2 | c  | {a2,b2,c2}
(3 rows)

contrib_regression=# SELECT * FROM dblink_get_result('dtest1') AS t1(f1 int, f2 text, f3 text[]);
 f1 | f2 |      f3
----+----+---------------
  7 | h  | {a7,b7,c7}
  8 | i  | {a8,b8,c8}
  9 | j  | {a9,b9,c9}
 10 | k  | {a10,b10,c10}
(4 rows)

contrib_regression=# SELECT * FROM dblink_get_result('dtest1') AS t1(f1 int, f2 text, f3 text[]);
 f1 | f2 | f3
----+----+----
(0 rows)

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16.8.1 - 8e8befb1 - 2025-04-10 15:44:23