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Editing field mappings

Connectors read different sources to extract structured data from them. The extracted data is then written to fields of a solr core. Field mappings define which information from the original documents is written to which fields of the Solr Index.

Specific default mappings can be specified for each index and connector throughout the system. These are automatically taken into account when a new connector is created.

When editing the field mappings, select a connector field on the left. On the right, select the core field in which you want the connector to write this data. All core fields that have been activated in the Solr schema configuration and are writable are available here. In addition to editing the default mappings, you can also specify further mappings or remove existing ones.

You can also specify a sequence for the mappings. This order is relevant when mapping multiple connector fields to a core field. If the core field can contain more than one value, it lands in the field in the order specified here. If the core field can only contain one value, it will be the value that is the lowest in the mapping sequence.


After you have edited a field mapping, you must reset the connector so that the changes to the mapping are taken into account.


Captioned Item
captionEditing field mappings.

There are currently three different mapping types:

  • Copy Mapping: Der Standard Typ: The connector field is mapped 1:1 to the specified document field.

  • Constant Mapping: Instead of a connector field, a constant value can be mapped to a document field.

  • Split Mapping: The value of a connector field is divided into several values by a character to be entered. This can be used to convert comma-separated lists into multi valued document fields.

Document Import

In addition to defining connectors that can monitor and search different document sources, it is also possible to import pre-structured data into a search engine index. Unlike connectors, this data is imported once, i. e. no subsequent synchronization takes place.

Manage document imports

Any number of document sets can be imported in the application and deleted if necessary. For each set of imported documents, known as import batches, you see a row in the overview table. In addition to the name of the import batch, you can also see how many documents are part of the batch. The status indicates whether the import is still running, whether it was successful, or whether it has failed.


Captioned Item
captionOverview of all previously imported document batches.

Below the overview table you will find the form elements to import a new document set. To do this, enter a name and click the Browse button. A window opens in which the local file system is displayed.


You can import single files as well as zip archives with several files. Make sure that there are no (hidden) subdirectories in such ZIP file and that the files have the correct file extensions.

These import formats are currently available:

Text Importer

Text importers can be used to import any plain text files. The complete content of the file is imported into a field. The file name of the file is available later as a metadate. CAS Importer Allows the import of serialized UIMA CAS (currently as XMI). This means that for example documents are imported as gold standards.


Please note that the type system of this CAS has to be compatible with the type system of


Solr XML Importer

A simple XML format that allows the import of pre-structured data. During the import, the fields defined in XML are written to the search index in fields with the same value. Please make sure that the field names in the XML file correspond to the field names of the search index associated with your project.

Images that can be imported to the documents and displayed together with them are a special feature. To upload an image, you have to pack the XML document (s) together with the images into a ZIP archive. With each document you can now add as many image_reference fields as you like. Relative paths to the image are expected. Images can be stored in any subfolders within the ZIP archive. Supported image formats are. gif,. png,. jpg and. tif.

<field name="image_reference">images/image.png</field>
<field name="image_reference">./images/pics/picture.png</field>

An example of the supported import format is shown below

Code Block
<?xml version='1.0' encoding='UTF-8'?>
<!--Averbis Solr Import file generated from: medline15n0771.xml.gz-->
      <field name="id">24552733</field>
      <field name="title">Treatment of sulfate-rich and low pH wastewater by sulfate reducing bacteria with iron shavings in a laboratory.		</field>
      <field name="content">Sulfate-rich wastewater is an indirect Tag der Arbeit threat to the environment especially at low pH. Sulfate reducing bacteria (SRB) could use sulfate as the terminal electron acceptor for the degradation of organic compounds and hydrogen transferring SO(4)(2-) to H2S. However their acute sensitivity to acidity leads to a greatest limitation of SRB applied in such wastewater treatment. With the addition of iron shavings SRB could adapt to such an acidic environment, and 57.97, 55.05 and 14.35% of SO(4)(2-) was reduced at pH 5, pH 4 and pH 3, respectively. Nevertheless it would be inhibited in too acidic an environment. The behavior of SRB after inoculation in acidic synthetic wastewater with and without iron shavings is presented, and some glutinous substances were generated in the experiments at pH 4 with SRB culture and iron shavings.</field>
      <field name="tag">Hydrogen-Ion Concentration; Iron; Oxidation-Reduction; Sulfur-Reducing Bacteria; Waste Water; Water Purification</field>
      <field name="author">Liu X, Gong W, Liu L</field>
      <field name="descriptor">Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't</field>
      <field name="id">24552734</field>
      <field name="title">Environmental isotopic and hydrochemical characteristics of groundwater from the Sandspruit Catchment, Berg River Basin, South Africa.</field>
      <field name="content">The Sandspruit catchment (a tributary of the Berg River) represents a drainage system, whereby saline groundwater with total dissolved solids (TDS) up to 10,870 mg/l, and electrical conductivity (EC) up to 2,140 mS/m has been documented. The catchment belongs to the winter rainfall region with precipitation seldom exceeding 400 mm/yr, as such, groundwater recharge occurs predominantly from May to August. Recharge estimation using the catchment water-balance method, chloride mass balance method, and qualified guesses produced recharge rates between 8 and 70 mm/yr. To understand the origin, occurrence and dynamics of the saline groundwater, a coupled analysis of major ion hydrochemistry and environmental isotopes (d(18)O, d(2)H and (3)H) data supported by conventional hydrogeological information has been undertaken. These spatial and multi-temporal hydrochemical and environmental isotope data provided insight into the origin, mechanisms and spatial evolution of the groundwater salinity. These data also illustrate that the saline groundwater within the catchment can be attributed to the combined effects of evaporation, salt dissolution, and groundwater mixing. The salinity of the groundwater tends to vary seasonally and evolves in the direction of groundwater flow. The stable isotope signatures further indicate two possible mechanisms of recharge; namely, (1) a slow diffuse type modern recharge through a relatively low permeability material as explained by heavy isotope signal and (2) a relatively quick recharge prior to evaporation from a distant high altitude source as explained by the relatively depleted isotopic signal and sub-modern to old tritium values. </field>
      <field name="tag">Groundwater; Isotopes; Rivers; Salinity; South Africa; Water Movements</field>
      <field name="author">Naicker S, Demlie M</field>
      <field name="descriptor">Journal Article; Research Support, Non-U.S. Gov't</field>