The 3F000 invalid_schema_name error in PostgreSQL indicates that an operation has been attempted on a schema that does not exist in the database. This error can happen in various scenarios, such as when referencing a schema in a query, creating objects within a non-existent schema, or setting the search path to an undefined schema. To …
The 39P02 srf_protocol_violated error in PostgreSQL is related to set-returning functions (SRFs). This error occurs when a set-returning function (such as a function that returns a set of records or a table) is used improperly, violating the expected protocol for set-returning functions. A common scenario that leads to this error is when a set-returning function …
The 38004 reading_sql_data_not_permitted error in PostgreSQL is part of the SQL/PSM (Persistent Stored Modules) standard, which pertains to the SQL-invoked routines. This error occurs when an attempt is made to read SQL data from a context where it is not permitted, such as within a function that is defined to be SECURITY DEFINER and has …
The 34000 invalid_cursor_name error in PostgreSQL indicates that an invalid cursor name was specified in a statement. This typically occurs when a cursor name is not found in the current session because it either does not exist, has not been declared, or is not accessible due to scope or transaction boundaries. Here are some common …
Amazon Redshift, a fully managed, petabyte-scale data warehouse service, provides fast querying capabilities and the simplicity of using SQL to manage large datasets. However, users may sometimes encounter issues that can affect the performance and functionality of their Amazon Redshift clusters. Effectively troubleshooting these issues is essential to maintain the efficiency and reliability of your …
Migrating data from Amazon Aurora to Amazon Redshift requires effective strategies to transform and optimise data for analytics processing. AWS Glue, a fully managed extract, transform, and load (ETL) service, facilitates this process by preparing and loading your data for analytics. By understanding how to configure Aurora PostgreSQL as a source and effectively design ETL …
Using the AWS Glue Data Catalog with a data warehouse facilitates a comprehensive approach to data management, ensuring that your data is not only well-organised but also easily accessible for analysis and business intelligence tasks. The AWS Glue Data Catalog serves as a central repository where metadata—pertaining to the structure, location, and runtime metrics of …
When managing large volumes of data, efficient ingestion processes become pivotal for businesses leveraging cloud platforms. AWS Lake Formation simplifies this by providing blueprints, which are predefined templates for common data loading tasks. If you’re working with Aurora PostgreSQL and need to move data to Redshift, using Lake Formation blueprints can streamline the process. Understanding …
The 2BP01 error code in PostgreSQL, dependent_objects_still_exist, indicates that you are trying to drop or alter an object on which other objects depend. This error is designed to prevent the accidental removal or modification of database objects that would leave dependent objects in an invalid state. To resolve this error, you need to identify the …
The 2F004 error code in PostgreSQL, reading_sql_data_not_permitted, occurs when a function that is declared to perform no SQL data reading (i.e., it is marked as NO SQL or MODIFIES SQL DATA) attempts to execute an SQL command that reads data from the database. This is a violation of the function’s declared behavior and PostgreSQL enforces …