关于Informatica全量PDO及目标端PDO执行逻辑的技术问询

Great questions about Informatica's Push Down Optimization (PDO)—these are key points for optimizing ETL performance, so let’s break them down clearly.

1. Full Push Down Optimization & Informatica Server Intervention #

Yes, Full Push Down Optimization (Full PDO) absolutely allows database servers to load data into target tables without ongoing Informatica Server intervention. Here’s how it works:

• When Full PDO is enabled and your ETL logic is fully compatible, Informatica Power Center (IPC) Server generates the necessary SQL statements (covering all source filtering, transformations, and target loading) and sends them to the relevant databases.
• The entire data processing pipeline—from reading source data, applying transformations, to inserting into the target table—runs entirely within the database layer(s). The IPC Server only initiates the process and monitors completion; it never touches the actual data or performs any transformation work.

2. Deep Dive into PDO Types & Execution Flows #

You’re correct that Informatica has three core PDO categories—let’s unpack each, along with your specific questions:

PDO Category Breakdown #

• Source-side PDO: Only pushes filtering, aggregation, or join logic to the source database. The processed data is then sent back to the IPC Server, which handles remaining transformations and loads the data into the target table.
• Target-side PDO: Pushes all transformation logic to the target database. The source data is either pulled directly by the target database (if cross-database access is supported) or temporarily staged by the IPC Server in the target database’s storage. The target database then executes the transformation logic and loads the final data into the target table.
• Full PDO: As the name suggests, this pushes 100% of your ETL logic to the database layer. Depending on your logic and database compatibility, this could mean:
  • All logic is pushed to the source database (e.g., a filtered query that directly inserts into a target table via cross-database links).
  • All logic is pushed to the target database (e.g., the target database queries the source, applies transformations, and loads locally).
  • Logic is split between source and target databases (e.g., source handles filtering, target handles aggregation and loading)—the IPC Server coordinates which logic goes where, but doesn’t process any data itself.

Performance & Execution for Full PDO (Target Database Push) #

If all your ETL code is pushed to the target database, the target database server handles the entire load process autonomously. For example:

• If the source and target are on the same database cluster or support cross-database queries, the target database runs a query against the source, applies all transformations, and inserts the results directly into the target table—no data passes through the IPC Server.
• This eliminates data transfer bottlenecks between the IPC Server and databases, making it one of the highest-performing ETL configurations possible.

Target-side PDO Execution Flow #

When target-side PDO is enabled, data does not get processed by the IPC Server. Instead:

• If cross-database access is configured, the target database directly retrieves source data, applies the pushed transformation logic, and loads it into the target table.
• If cross-database access isn’t supported, the IPC Server stages the source data in a temporary table in the target database. The target database then runs the transformation logic on the temporary table and loads the final results into the target table.
• In both cases, the IPC Server only manages the staging (if needed) and triggers the database-side execution—it never performs transformations on the data.

内容的提问来源于stack exchange，提问作者Curious_Mind