<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250513</CreaDate>
<CreaTime>11015300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">LSLQueryLayer_Endpoints</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\coa.auburn.local\dept\GIS\GeoData\Hosting\Water\Lateral Query\Default.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.8333333333333],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,47.5],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,48.73333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,47.0],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2285]]&lt;/WKT&gt;&lt;XOrigin&gt;-117104300&lt;/XOrigin&gt;&lt;YOrigin&gt;-99539600&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102748&lt;/WKID&gt;&lt;LatestWKID&gt;2285&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20250513" Time="110202" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures GIS_USER.v_LSL_Inventory_Laterals "C:\Users\ccarnes\OneDrive - City of Auburn\Documents\ArcGIS\Projects\Lateral Query\Default.gdb\LSLQueryLayer" # NOT_USE_ALIAS "ID "ID" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,ID,0,254;STRUCTURESPRINGBROOK "STRUCTURESPRINGBROOK" true true false 15 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,STRUCTURESPRINGBROOK,0,14;STATUS "STATUS" true true false 10 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,STATUS,0,9;MXU "MXU" true true false 50 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,MXU,0,49;BILLINGTYPE "BILLINGTYPE" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,BILLINGTYPE,0,254;LATERAL "LATERAL" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,LATERAL,0,254;PUBLICMATERIALEPA "PUBLICMATERIALEPA" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,PUBLICMATERIALEPA,0,254;PRIVATEMATERIALEPA "PRIVATEMATERIALEPA" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,PRIVATEMATERIALEPA,0,254;Lateral_Size "Lateral_Size" true true false 8 Double 8 38,First,#,GIS_USER.v_LSL_Inventory_Laterals,Lateral_Size,-1,-1;PIPETYPE "PIPETYPE" true true false 20 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,PIPETYPE,0,19;gis_install_date "gis_install_date" true true false 8 Date 0 1,First,#,GIS_USER.v_LSL_Inventory_Laterals,gis_install_date,-1,-1;Gooseneck_Material "Gooseneck_Material" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Gooseneck_Material,0,254;Tailpiece_Material "Tailpiece_Material" true true false 255 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Tailpiece_Material,0,254;GIS_id_count "GIS_id_count" true true false 4 Long 0 10,First,#,GIS_USER.v_LSL_Inventory_Laterals,GIS_id_count,-1,-1;STRUCTURE_SB "STRUCTURE_SB" true true false 4000 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,STRUCTURE_SB,0,3999;SB_id_count "SB_id_count" true true false 4 Long 0 10,First,#,GIS_USER.v_LSL_Inventory_Laterals,SB_id_count,-1,-1;mxu_id "mxu_id" true true false 40 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,mxu_id,0,39;device_size "device_size" true true false 20 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,device_size,0,19;Connection_Status "Connection_Status" true true false 16 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Connection_Status,0,15;service_code "service_code" true true false 12 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,service_code,0,11;ServiceCodeType "ServiceCodeType" true true false 15 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,ServiceCodeType,0,14;sb_install_date "sb_install_date" true true false 8 Date 0 1,First,#,GIS_USER.v_LSL_Inventory_Laterals,sb_install_date,-1,-1;sb_remove_date "sb_remove_date" true true false 8 Date 0 1,First,#,GIS_USER.v_LSL_Inventory_Laterals,sb_remove_date,-1,-1;lot_no "lot_no" true true false 4 Long 0 10,First,#,GIS_USER.v_LSL_Inventory_Laterals,lot_no,-1,-1;cust_no "cust_no" true true false 4 Long 0 10,First,#,GIS_USER.v_LSL_Inventory_Laterals,cust_no,-1,-1;Customer "Customer" true true false 201 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Customer,0,200;Owner_Address "Owner_Address" true true false 4000 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Owner_Address,0,3999;Site_Address "Site_Address" true true false 4000 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Site_Address,0,3999;PIN "PIN" true true false 80 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,PIN,0,79;Match_Type "Match_Type" true true false 8 Text 0 0,First,#,GIS_USER.v_LSL_Inventory_Laterals,Match_Type,0,7" #</Process>
<Process Date="20250513" Time="111008" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures LSLQueryLayer "C:\Users\ccarnes\OneDrive - City of Auburn\Documents\ArcGIS\Projects\Lateral Query\Default.gdb\LSLQueryLayer_ExportFeatures" # NOT_USE_ALIAS "BILLINGTYPE "BILLINGTYPE" true true false 255 Text 0 0,First,#,LSLQueryLayer,BILLINGTYPE,0,254;LATERAL "LATERAL" true true false 255 Text 0 0,First,#,LSLQueryLayer,LATERAL,0,254;PUBLICMATERIALEPA "PUBLICMATERIALEPA" true true false 255 Text 0 0,First,#,LSLQueryLayer,PUBLICMATERIALEPA,0,254;PRIVATEMATERIALEPA "PRIVATEMATERIALEPA" true true false 255 Text 0 0,First,#,LSLQueryLayer,PRIVATEMATERIALEPA,0,254;PIPETYPE "PIPETYPE" true true false 20 Text 0 0,First,#,LSLQueryLayer,PIPETYPE,0,19;Gooseneck_Material "Gooseneck_Material" true true false 255 Text 0 0,First,#,LSLQueryLayer,Gooseneck_Material,0,254;Tailpiece_Material "Tailpiece_Material" true true false 255 Text 0 0,First,#,LSLQueryLayer,Tailpiece_Material,0,254;Site_Address "Site_Address" true true false 4000 Text 0 0,First,#,LSLQueryLayer,Site_Address,0,3999" #</Process>
<Process Date="20250513" Time="113026" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures LSLQueryLayer_ExportFeatures "C:\Users\ccarnes\OneDrive - City of Auburn\Documents\ArcGIS\Projects\Lateral Query\Default.gdb\LSLQueryLayer" # NOT_USE_ALIAS "BILLINGTYPE "BILLINGTYPE" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,BILLINGTYPE,0,254;LATERAL "LATERAL" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,LATERAL,0,254;PUBLICMATERIALEPA "PUBLICMATERIALEPA" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,PUBLICMATERIALEPA,0,254;PRIVATEMATERIALEPA "PRIVATEMATERIALEPA" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,PRIVATEMATERIALEPA,0,254;PIPETYPE "PIPETYPE" true true false 20 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,PIPETYPE,0,19;Gooseneck_Material "Gooseneck_Material" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,Gooseneck_Material,0,254;Tailpiece_Material "Tailpiece_Material" true true false 255 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,Tailpiece_Material,0,254;Site_Address "Site_Address" true true false 4000 Text 0 0,First,#,LSLQueryLayer_ExportFeatures,Site_Address,0,3999;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,LSLQueryLayer_ExportFeatures,Shape_Length,-1,-1" #</Process>
<Process Date="20250513" Time="152748" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\FeatureVerticesToPoints">FeatureVerticesToPoints LSLQueryLayer "O:\GeoData\Hosting\Water\Lateral Query\Default.gdb\LSLQueryLayer_Endpoints" "End vertex"</Process>
</lineage>
</DataProperties>
<SyncDate>20250513</SyncDate>
<SyncTime>15273000</SyncTime>
<ModDate>20250513</ModDate>
<ModTime>15273000</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.2.0.49743</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">LSLQueryLayer_Endpoints</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<idPurp>Endpoints and select fields exported from v_LSL_Inventory_Laterals. Updated nightly via automation for the purpose of the public facing LSL dashboard.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2285"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="LSLQueryLayer_Endpoints">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="LSLQueryLayer_Endpoints">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="LSLQueryLayer_Endpoints">
<enttyp>
<enttypl Sync="TRUE">LSLQueryLayer_Endpoints</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">BILLINGTYPE</attrlabl>
<attalias Sync="TRUE">BILLINGTYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LATERAL</attrlabl>
<attalias Sync="TRUE">LATERAL</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PUBLICMATERIALEPA</attrlabl>
<attalias Sync="TRUE">PUBLICMATERIALEPA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PRIVATEMATERIALEPA</attrlabl>
<attalias Sync="TRUE">PRIVATEMATERIALEPA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PIPETYPE</attrlabl>
<attalias Sync="TRUE">PIPETYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Gooseneck_Material</attrlabl>
<attalias Sync="TRUE">Gooseneck_Material</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Tailpiece_Material</attrlabl>
<attalias Sync="TRUE">Tailpiece_Material</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Site_Address</attrlabl>
<attalias Sync="TRUE">Site_Address</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">4000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ORIG_FID</attrlabl>
<attalias Sync="TRUE">ORIG_FID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250513</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
