The Lyftron Provider for PostgreSQL offers the most natural way to access PostgreSQL data from Lyftron with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing PostgreSQL data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftron’s PostgreSQL data provider and automatically build your data migration pipelines in minutes, not months
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
- Comprehensive Delta load mechanism.
- Real-time access to PostgreSQL.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
The user must have credentials for PostgreSQL, Lyftron and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftron
Establishing a Connection with Lyftron's Quickstart Steps
Create your PostgreSQL connection with Lyftron by following the 5 easy steps show below:
Step1. Add your connection
Click on Connect section on the left panel → Click on Add Connection button
Step2. Select your connector
In the connector selection panel, search and click PostgreSQL for your connection
Step3. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish PostgreSQL connection with Lyftron.Server=[your_server];Port=[your_port];Database=[your_db-name];User=[your_user];Password=[your_password];
|Connection Name||Enter your connection details||Required|
|User||your PostgreSQL user||Required|
|Password||your PostgreSQL admin||Required|
|Database||your PostgreSQL database||Required|
|Logfile**||Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx||Optional|
|Verbosity**||Choose verbosity 1-5 based on the severity of debugging||Optional|
** For more information, check the Lyftron logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftron, click on Lyftron Connection Quick Start guide.
Step4. Test your connection
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftron logging and debugging section, to debug the error.
Step5. Save your connection
The catalog pg_aggregate stores information about aggregate functions. An aggregate function is a function that operates on a set of values (typically one column from each row that matches a query condition) and returns a single value computed from all these values. Typical aggregate functions are sum, count, and max. Each entry in pg_aggregate is an extension of an entry in pg_proc.The pg_proc entry carries the aggregate's name, input and output data types, and other information that is similar to ordinary functions.
|aggfnoid||regproc||pg_proc OID of the aggregate function|
|aggkind||char||Aggregate kind: n for “normal” aggregates, o for “ordered-set” aggregates, or h for “hypothetical-set” aggregates|
|aggnumdirectargs||int2||Number of direct (non-aggregated) arguments of an ordered-set or hypothetical-set aggregate, counting a variadic array as one argument. If equal to pronargs, the aggregate must be variadic and the variadic array describes the aggregated arguments as well as the final direct arguments. Always zero for normal aggregates.|
|aggfinalfn||regproc||Final function (zero if none)|
|aggcombinefn||regproc||Combine function (zero if none)|
|aggserialfn||regproc||Serialization function (zero if none)|
|aggdeserialfn||regproc||Deserialization function (zero if none)|
|aggmtransfn||regproc||Forward transition function for moving-aggregate mode (zero if none)|
|aggminvtransfn||regproc||Inverse transition function for moving-aggregate mode (zero if none)|
|aggmfinalfn||regproc||Final function for moving-aggregate mode (zero if none)|
|aggfinalextra||bool||True to pass extra dummy arguments to aggfinalfn|
|aggmfinalextra||bool||True to pass extra dummy arguments to aggmfinalfn|
|aggsortop||oid||Associated sort operator (zero if none)|
|aggtranstype||oid||Data type of the aggregate function's internal transition (state) data|
|aggtransspace||int4||Approximate average size (in bytes) of the transition state data, or zero to use a default estimate|
|aggmtranstype||oid||Data type of the aggregate function's internal transition (state) data for moving-aggregate mode (zero if none)|
|aggmtransspace||int4||Approximate average size (in bytes) of the transition state data for moving-aggregate mode, or zero to use a default estimate|
|agginitval||text||The initial value of the transition state. This is a text field containing the initial value in its external string representation. If this field is null, the transition state value starts out null.|
|aggminitval||text||The initial value of the transition state for moving-aggregate mode. This is a text field containing the initial value in its external string representation. If this field is null, the transition state value starts out null.|