Datacage: Added <dc:filter> element. This allows cleaner way to narrow the datasets. Example: <dc:context> <dc:statement> SELECT DISTINCT name AS hws_name, official AS hws_official, kind_id AS hws_kind FROM hws_lines WHERE river_id = ${river_id} </dc:statement> <dc:if test="dc:has-result()"> <lines> <dc:macro name="hws-lines"> <dc:elements> <hws factory="hwsfactory" name="{$hws_name}"/> </dc:elements> </dc:macro> <dc:filter expr="$hws_official=1"> <dc:if test="dc:has-result()"> <official> <dc:filter expr="$hws_kind=1"> <dc:if test="dc:has-result()"> <Durchlass><dc:call-macro name="hws-lines"></Durchlass> </dc:if> </dc:filter> <dc:filter expr="$hws_kind=2"> <dc:if test="dc:has-result()"> <Damm><dc:call-macro name="hws-lines"></Damm> </dc:if> </dc:filter> <dc:filter expr="$hws_kind=3"> <dc:if test="dc:has-result()"> <Graben><dc:call-macro name="hws-lines"></Graben> </dc:if> </dc:filter> </official> </dc:if> </dc:filter> </lines> </dc:if> </dc:context>

<?xml version="1.0" encoding="utf-8"?>
<STATIONEN>
    <STATION NAME="FREMERSDORF"   NUMMER="0026400550" />
    <STATION NAME="ST.ARNUAL"     NUMMER="0026400220" />
    <STATION NAME="COCHEM"        NUMMER="0002690010" />
    <STATION NAME="TRIER"         NUMMER="0002650010" />
    <STATION NAME="PERL"          NUMMER="0002610010" />
    <STATION NAME="SCHOENA"       NUMMER="501010"/>
    <STATION NAME="DRESDEN"       NUMMER="501060"/>
    <STATION NAME="TORGAU"        NUMMER="501261"/>
    <STATION NAME="WITTENBERG"    NUMMER="501420"/>
    <STATION NAME="AKEN"          NUMMER="502010"/>
    <STATION NAME="BARBY"         NUMMER="502070"/>
    <STATION NAME="MAGDEBURG-STR" NUMMER="502180"/>
    <STATION NAME="TANGERMUENDE"  NUMMER="502350"/>
    <STATION NAME="WITTENBERGE"   NUMMER="503050"/>
    <STATION NAME="NEU DARCHAU"   NUMMER="5930010"/>
</STATIONEN>