DIAdem DataFinder Shows "eIndexedTimeout"

Updated Apr 12, 2023

Reported In

Software

  • DIAdem
  • DataFinder Server

Issue Details

  • The DIAdem DataFinder is displaying files as "eIndexedTimeout". What does this mean?
  • How can I load files into the Data Portal if they are displayed as "eIndexedTimeout"?
  • There is a clock symbol next to files in the DataFinder. What does this mean?
  • How can I configure the Index Timeout Properties in DIAdem?
  • The Indexing Status of a file is "eIndexedTimeout". How can I change this?

Solution

When the Indexing Status of a file is displayed as "eIndexedTimeout", this indicates that DIAdem was not able to index the file within the specified time or no connection with the DataFinder Server was established. You can configure the DataFinder to allow for longer indexing times.


The steps below show how to configure the indexing and sever connection time:


1. In the DIAdem Navigator tab, go to Settings >> My DataFinder >> Configure...

2. In the pop-up window, locate the "Indexer" tab.

3. Increase the "Timeout Per File [s]" value, as shown below:

  • This specifies the time (in seconds) after which the DataFinder stops indexing a file. For further information on Indexer settings see, Configure MyDataFinder: Indexer.
4. Locate the "Advanced" tab in the pop-up window.

5. Increase the "Query Timeout [s]" setting as shown below:

  • This specifies the maximum time that a client waits for the result of the query. For further information on the Advanced settings, see Configure MyDataFinder: Advanced .

Additional Information

If a blue clock symbol appears next to a file in the DataFinder, this indicates that there is a problem with the connection to the DataFinder Server. This relates to the "Query Timeout" setting within the DataFinder configuration.

A red clock symbol indicates that DIAdem cannot index the file within the allocated time. This relates to the "Timeout per file" setting.

For further information on the definitions of the DataFinder Symbols, see Symbols in DataFinders .