PostgreSQL

The Lyftrondata Provider for PostgreSQL offers the most natural way to access PostgreSQL data from Lyftrondata 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 Lyftrondata’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.

Key Features

• Comprehensive Delta load mechanism.
• Real-time access to PostgreSQL.
• Comprehensive full support of ANSI Sql to query data with ease.
• Collaborative query processing.

Prerequisites

The user must have credentials for PostgreSQL, Lyftrondata and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftrondata

Establishing a Connection with Lyftrondata's Quickstart Steps

Create your PostgreSQL connection with Lyftrondata 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 Lyftrondata.

Server=[your_server];Port=[your_port];Database=[your_db-name];User=[your_user];Password=[your_password];

Key	Value	Field
Connection Name	Enter your connection details	Required
User	your PostgreSQL user	Required
Password	your PostgreSQL admin	Required
Database	your PostgreSQL database	Required
Server	127.0.0.1	Required
Port	5432	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 Lyftrondata logging and debugging section.

If you want more detailed information about how to establish a connection with Lyftrondata, click on Lyftrondata 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 Lyftrondata logging and debugging section, to debug the error.

Step5. Save your connection

Hurray! Now you have successfully connected with the Lyftrondata PostgreSQL connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.

Data Model

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.

Name	Type	Description
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.
aggtransfn	regproc	Transition function
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.