Essbase Data Export Performance Calculator


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Essbase Data Export Performance Calculator

An essential tool for Essbase administrators and developers. Estimate the performance of a data export using calculation script in essbase to better plan maintenance windows and data integration tasks.



The total number of existing data blocks targeted by your DATAEXPORT FIX statement.

Please enter a valid number.



The average size of a single data block in kilobytes (KB).

Please enter a valid number.



The percentage of non-empty cells within the blocks. Lower density means more sparse data.

Enter a percentage between 0 and 100.



Available network bandwidth between the Essbase server and the file destination in Megabits per second.

Please enter a valid speed.



A multiplier representing the server’s processing efficiency for calculation scripts.

What is Data Export Using Calculation Script in Essbase?

A data export using calculation script in Essbase refers to the process of extracting data from an Essbase cube (specifically a Block Storage or BSO cube) using the `DATAEXPORT` command within a calculation script. This method is a powerful and flexible way to create targeted exports, allowing developers to specify precisely which slice of the database to extract using `FIX` statements. Unlike a full database export, which takes all data, a calc script export can be limited to specific scenarios, versions, products, or any other dimension member combination.

This technique is commonly used for backups, data migration between environments, feeding data warehouses, or creating flat files for reporting systems. Compared to older methods like report scripts, `DATAEXPORT` is generally faster and more efficient, though it offers fewer formatting options. It can export to flat files (like .csv or .txt) or directly to a relational database via a DSN connection.

The Essbase Export Performance Formula

This calculator estimates the export time by modeling two primary components: the time spent by the server processing the data blocks and the time spent transferring the resulting file over the network.

Estimated Total Time = Server Processing Time + Network Transfer Time

Formula Variables
Variable Meaning Unit Typical Range
Total Data Volume The total amount of data to be written to the file after accounting for sparsity. Megabytes (MB) 1 – 100,000+
Server Processing Time Time for the Essbase engine to read and process the blocks specified in the script. Seconds Depends heavily on block count and server speed.
Network Transfer Time Time to move the generated export file from the server to its final destination. Seconds Depends on file size and network bandwidth.

Practical Examples

Example 1: Large Nightly Data Warehouse Feed

A company needs to export a large slice of financial data nightly.

  • Inputs:
    • Number of Data Blocks: 5,000,000
    • Average Block Size: 50 KB
    • Data Density: 20%
    • Network Speed: 1,000 Mbps (1 Gbps)
    • Server Factor: Optimized Server
  • Results: The calculator would estimate a significant export time, likely several minutes, with the Total Data Volume being the main driver. This helps the admin schedule the job correctly to avoid business-hour conflicts.

Example 2: Small, Targeted Ad-Hoc Export

A financial analyst needs to extract data for a single product line for a specific quarter to analyze in another tool.

  • Inputs:
    • Number of Data Blocks: 50,000
    • Average Block Size: 10 KB
    • Data Density: 5%
    • Network Speed: 100 Mbps
    • Server Factor: Standard Server
  • Results: The calculator would predict a very short export time, likely just a few seconds. This confirms that running such an export ad-hoc will not impact the system’s performance. For more on Essbase performance, see our guide to Essbase tuning.

How to Use This Essbase Export Calculator

  1. Enter Block Count: Input the approximate number of data blocks that your `FIX` statement will process. This is the most critical factor for a data export using calculation script in essbase.
  2. Provide Block Size: Specify the average size of a data block in your cube. You can find this in the Essbase administration console.
  3. Set Data Density: Estimate the sparsity of your data. A lower percentage means the data is more sparse, resulting in a smaller export file.
  4. Define Network Speed: Enter the network bandwidth available for the data transfer.
  5. Select Server Type: Choose a server profile that best matches your hardware environment.
  6. Calculate: Click the “Calculate” button to see the estimated total time, processing time, transfer time, and total data volume.
  7. Interpret Results: Use the chart to visualize whether your export is CPU-bound (high processing time) or I/O-bound (high transfer time). You can learn more about optimizing Essbase calculations in our resources section.

Key Factors That Affect Essbase Data Export Performance

  • Number of Blocks: The primary driver of processing time. The more blocks Essbase has to read, the longer it will take.
  • Sparsity/Density: The density of the data directly impacts the final file size. Very sparse exports are much faster to transfer.
  • Network Bandwidth: A bottleneck in network I/O can significantly slow down an export, especially for large files.
  • Server CPU and RAM: A powerful server can process blocks much faster. Insufficient RAM can lead to excessive disk swapping, slowing everything down.
  • `DATAEXPORT` Command Options: Settings within the `SET DATAEXPORTOPTIONS` block can influence performance. For example, exporting dynamic calculations can add overhead.
  • Disk I/O Speed: The speed of the disk where the export file is written is crucial. Slow SAN or local disk speed can become a major bottleneck.
  • FIX Statement Specificity: A well-written, targeted `FIX` statement that touches only the necessary blocks is far more efficient than a broad one. More information on this can be found in our advanced calculation scripting guide.
  • Parallel Processing: Using `FIXPARALLEL` can sometimes speed up the processing phase of the export on multi-core servers, but it can also increase I/O contention.

Frequently Asked Questions (FAQ)

1. Is this calculator 100% accurate?

No. This is an estimation tool based on a simplified model. Real-world performance of a data export using calculation script in essbase can be affected by many other factors, including concurrent server activity, specific `DATAEXPORT` settings, and outline complexity. It should be used for planning and “what-if” analysis. For other tools, check out our Essbase block size calculator.

2. How can I find the number of blocks and average block size?

You can find this information in the Essbase Administration Services (EAS) console by viewing the database properties. The statistics tab provides details on the number of blocks and the average block size.

3. How can I improve my data export performance?

Focus on the key factors. The best approach is to make your `FIX` statement as specific as possible to reduce the number of blocks processed. If the bottleneck is the network, consider compressing the file after export or running the export on a server with a faster network connection.

4. What’s the difference between `DATAEXPORT` and a report script?

`DATAEXPORT` is a calculation command designed for efficient, bulk data extraction with simple formatting. A report script is a more complex and flexible reporting tool that offers extensive formatting capabilities but is generally much slower for large data volumes.

5. Does this calculator apply to ASO cubes?

No. This calculator is designed for Block Storage Option (BSO) cubes. Aggregate Storage Option (ASO) cubes have a different architecture and do not use the same block-based `DATAEXPORT` mechanism within calculation scripts. ASO data is typically exported via MDX queries.

6. Why is my export slow even with a small file size?

This indicates a CPU or processing bottleneck. Your `FIX` statement may be scanning a huge number of blocks, but since the data is very sparse, the resulting file is small. The calculator’s “Processing Time” metric will be much higher than the “Transfer Time” in this scenario.

7. Can `DATAEXPORT` write directly to a database?

Yes, the `DATAEXPORT` command supports writing directly to any relational database that has an ODBC/JDBC DSN configured on the Essbase server. This eliminates the intermediate step of creating a flat file. Our guide on Essbase to SQL integration covers this in detail.

8. What does the “Server Processing Factor” do?

This is a simple multiplier to account for hardware differences. An “Optimized Server” assumes faster CPUs and more RAM, reducing the modeled processing time per block. A “Legacy Server” assumes older hardware, increasing the time. It allows you to model the impact of a server upgrade on your data export using calculation script in essbase processes.

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