OCR and Fileindexing Constellio Constellio search in Tempus Serva installations Activate the search servlet in your installation The search servlet is deactivated by default. Edit the /webapps//WEB-INF/web.xml Remove comments from the search servlet Remove comments from the search filter If you are using web container security please remove it from the search servlet: The servlet filter will handle authentication of crawler robots using a specialized form of basic authentication (normal users will be redirected to the main servlet instead). Option: Create a user for crawling You will need at least 1 user for crawling the content in Tempus Serva, possibly more if content restrictions apply to different search user groups. The following applies to crawling users All group and policies will be respected through the indexing No codeunits will be activated No log entries will be created You can test what the crawler will se by logging in with an extra parameter: /login?SearchIndexing=true Prepare Constellio Install Constellio Download the 1.3 installer Run the installer by doubleclicking the .jar file Install to MySQL database Run the  Start constellio Setting up a connector Before setting up a connector create or choose a valid search scope Choose connector type:  auth-http-connector Ensure that  Use security  is checked Set start URL to:  http:///TempusServa/search Include the same URL in include patterns Enter username for the crawler user (a valid TS user) Enter password for the crawler user (a valid TS user) After submitting the new connector, crawling/indexing will start by itself No further actions are needed: The search servlet will automatically redirect real users after they click on a search result. Option: Tweak search results The search servlet will automatically deliver content in a crude form, without any extra html such as wrappers. It will also provide the crawler with information about when it was last updated, and document Title will be se to current records Resume value. You might consider excluding the  command=list pages for better (less redundant) search results. Elastic search Adding OCR capability OCR components must be installed on the same server as TS file indexing service. Only GhostScript and Terrasect are required to proces PDF files. TEMPORARY FIX: \catalina\catalina.properties add java.io.tmpdir=c:/Temp Install: ImageMagick binaries Download and unpack "portable" version (recommended c:\ImageMagick) https://www.imagemagick.org/script/binary-releases.php Register the location of the  convert  executeable in web.xml ExecutableImageMagick c:\ImageMagick\convert Leaving the entry empty will prevent OCR handling of image files: png, jpg, jpeg Install: Ghostscript binaries Download and run installer http://www.ghostscript.com/download/gsdnld.html Note: You are not required to buy a license Register the location of the  gswin64c  executeable in web.xml ExecutableGhostscript c:\Program Files\gs\gs9.20\bin\gswin64c.exe Leaving the entry empty will prevent OCR handling of PDF files Install: Tesseract binaries For linux just use install from repository using sudo yum install tesseract-ocr If you are using Amazon linux please use this instead ( thanks for help ). sudo yum --enablerepo=epel --disablerepo=amzn-main install libwebp sudo yum --enablerepo=epel --disablerepo=amzn-main install tesseract For Windows download installer or zip archieve https://sourceforge.net/projects/tesseract-ocr-alt/files/ Register the location of the  tesseract  executeable in web.xml ExecutableTerrasect c:\tesseract\tesseract Install In order to index records and files you will need to complete these steps Install standalone Elastic search server Install and configure Tempus Serva file indexing Configure the Tempus Serva installation Finally you may want to install optional components to handle OCR (scanned PDF's and images) Install Elastic search Java 8 / Elastic search 6 This is the recommended version but requires Java 8. Follow these steps: sudo rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch sudo sh -c 'curl https://gist.githubusercontent.com/nl5887/b4a56bfd84501c2b2afb/raw/elasticsearch.repo >> /etc/yum.repos.d/elasticsearch.repo' sudo yum update -y sudo yum install -y elasticsearch sudo chkconfig elasticsearch on The service runner configurations should have updated RAM allowance by adding an extra line in the file sudo nano /etc/sysctl.conf vm.max_map_count=262144 Restart service and validate settings were updated sudo sysctl --system sysctl vm.max_map_count Run the daemon sudo service elasticsearch start Java 7 / Elastic search 1.7 This version is an alternate version. Install and unpack files sudo wget https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.7.6.tar.gz tar -xvf elasticsearch-1.7.6.tar.gz sudo rm elasticsearch-1.7.6.tar.gz Run as a daemon elasticsearch-1.7.6/bin/elasticsearch -d Test that the service is running curl 'http://localhost:9200/?pretty' Handling crashes ElasticSearch normally requires 1GB of memory, which is in the default memory configuation sudo nano /etc/elasticsearch/jvm.options Set the maximum memory entry to a lower value -Xmx256m Then restart the service sudo service elasticsearch restart Fixing: "curl: (7) Failed to connect to localhost port 9200: Connection refused" In some cases the firewall needs to be configured sudo iptables -I INPUT -p tcp --dport 9200 --syn -j ACCEPT sudo iptables -I INPUT -p udp --dport 9200 -j ACCEPT sudo iptables-save Install using yum installer sudo rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch sudo sh -c 'curl https://gist.githubusercontent.com/nl5887/b4a56bfd84501c2b2afb/raw/elasticsearch.repo >> /etc/yum.repos.d/elasticsearch.repo' sudo yum install -y elasticsearch Alternative: Install with RPM wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.9.1-x86_64.rpm wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.9.1-x86_64.rpm.sha512 shasum -a 512 -c elasticsearch-8.9.1-x86_64.rpm.sha512 sudo rpm --install elasticsearch-8.9.1-x86_64.rpm sudo rpm -e elasticsearch-8.9.1-x86_64.rpm Install TS indexing service Install war file cd /usr/share/tomcat7/webapps/ sudo wget https://www.tempusserva.dk/install/tsFileIndexingService.war A couple of seconds later you can configure he data connection and paths for OCR librarys sudo nano /usr/share/tomcat7/conf/Catalina/localhost/tsFileIndexingService.xml (or depending on Linux distribution) sudo nano /etc/tomcat7/Catalina/localhost/tsFileIndexingService.xml Example configurations can be seen below Restart server after changes tstomcatrestart Windows example configuration Linux example configuration Enable and test indexing in Tempus Serva Set the following configurations to true fulltextIndexData fulltextIndexFile Also add port 8080 to the following URL fulltextFileHandlerURL Update any record in the TS installation Tjeck the index is created and that there is a mapping for the solution curl ' http://localhost:9200/tempusserva/?pretty' Next validate that records are found when searched for (replace * with a valid string) curl ' http://localhost:9200/tempusserva/_search?pretty&q=*' Finally validate that the Tempus Serva wrapper also works http:///TempusServa/fulltextsearch?subtype=4&term=* Optional OCR components Some libraries must be installed (ghostscript is probably already installed) sudo yum install ImageMagick sudo yum install ghostscript Also install tesseract CentOS/Fedora sudo yum install tesseract-ocr Amazon linux sudo yum --enablerepo=epel --disablerepo=amzn-main install libwebp sudo yum --enablerepo=epel --disablerepo=amzn-main install tesseract Afterwards change the configurations in the file indexer sudo nano /usr/share/tomcat7/conf/Catalina/localhost/tsFileIndexingService.xml The values should be /usr/bin/tesseract /usr/bin/convert /usr/bin/ghostscript After changing the values restart the server. Introduction Adding Elastic search to you existing TS installation, will provide you with freetext searches in data and files. Files are indexed together with the data in the records, so a record can be found by either their record values (name, phone etc.) or by search hits in files attached to those records. Results are filtered realtime according to the current security model, so no indexing is needed if settings change. Lucene data store and services Lucene data store  will contain lines for each record and record file in the system. All data in  Lucene data store  will be sent to Elastic search. Every time a record is updated an entry is made in  Lucene data store , and by default the data is sent synchroniously to ElasticSearch (fulltextBatchProcessBlobs). Files are instead put in the  Lucene file queue . By default the indexer is notified imidiately, a will start executing the  Lucene file queue . When finished each translated text is written back into the  Lucene data store  and deleted from the  Lucene file queue . Data is by default be sent to Elastic search right away (fulltextBatchProcessFiles). TS contains 2 services Data index builder File index builder These services sends data from  Lucene data store  to ElasticSearch. As mentioned this will normally be carried out automatically / synchroniously, unless some kind of error occurs - like Elastic being offline etc. In that case unprocessed items queue up: In the datastore, file queue or both. Running the services will handle everything in the queues. Consider having  Data index builder running every day (1440 mins) to clean up the queue now and then. Reindexing Reindex files Before reindexing starts may clean up the index (this is optional) DELETE FROM lucenedatastore WHERE FieldID > 0; To reindex execute the statement below using the following parameters schema of the database (example: "tslive") file table of the solution (example: "data_solution_file") INSERT INTO lucenefilequeue (application,tablename,FileID) SELECT 'tslive', 'data_solution_file', f.ID as FileID FROM data_solution_file as f WHERE f.IsDeleted = 0; After executing the statement execute the indexing service and wait patiently Rewrite index I case your Elastic Search is lost or corrupted it is quite easy to add the whole database to Elastic search UPDATE lucenedatastore SET IsProcessed = 0; Note this will just add all data once more - there is no indexing or OCR being carried out. Reindexing existing data Make sure that the application name is correct in the  applicationName Data can be reindexed using Backend > Admin services > Rebuild artifacts > Index blobs Optionally include the files too Backend > Admin services > Rebuild artifacts > Index files Setting up basic search service Note that the Elastic search server can be installed on a seperate server (neither TS file indexing or the application server is required). Install: Elastic search server Elastic search server (version 5) will run standalone and will require Java 8 or higher Download Elastic search zip archieve Unpack files to suitable location Start elastic.bat in /bin folder https://www.elastic.co/downloads/elasticsearch For Linux you can follow the guide in  Install with tar wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.9.1-x86_64.rpm wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.9.1-x86_64.rpm.sha512 shasum -a 512 -c elasticsearch-8.9.1-x86_64.rpm.sha512 sudo rpm --install elasticsearch-8.9.1-x86_64.rpm sudo rpm -e elasticsearch-8.9.1-x86_64.rpm Alternatively use this script sudo rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch sudo sh -c 'curl https://gist.githubusercontent.com/nl5887/b4a56bfd84501c2b2afb/raw/elasticsearch.repo >> /etc/yum.repos.d/elasticsearch.repo' sudo yum install -y elasticsearch sudo chkconfig elasticsearch on sudo nano /etc/elasticsearch/jvm.options -Xms256m -Xmx256m sudo service elasticsearch start curl ' http://localhost:9200/app/_count?pretty&q='y Install: TS file indexing service (TSFIS) For TSFIS to run yo will need a servlet container (Tomcat,JBoss,Oracle AS). Download tsFileIndexingService.war Dump to webapplication folder on application server Change settings in web.xml Database connection strings: If on same server just copy the seeting from your main application ExecutableGhostscript: Path to Ghostscript (see above) ExecutableTerrasect: Path to Terrasect OCR module (see above) ElasticServerAddress: IP or servername where ElastisSearch is installed (see above) Restart server (to reload DB credentials) Test application at: /tsFileIndexingService/execute Network configuration In the event that Elastic search or the file indexer is not on the same server you will need to ensure that Open port 3306 fra  TS file indexing service  to  MySQL database  (normally the application server) Open port 2100 fra  TS file indexing service  to  ElasticSearch  server Open port 2100 fra  Tempus Serva application  to  ElasticSearch  server Also remember to update configrations for server names Elastic search: elasticsearch.yml file > network.host (add IP or servername) https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-network.html TS file indexing service: web.xml > ElasticServerAddress (elastic search server) Tempus Serva application: Server policies fulltextFileHandlerURL (file indexing server) fulltextElasticBaseURL (elastic search server) Multi application setup Setup a shared table for  lucenefilequeue  using views Delete the lucenefilequeue table in all slave databases Create a view of lucenefilequeue pointing to the master database TS file indexing service  must have a user with access to all TS databases Multiple instances will have a shard each in the Elastic index Trouble shooting Status on the file indexing The file indexer has a stus page that will display information about the state of the indexer https:///tsFileIndexingService/execute The page also constains a goodword "HEALTHY" taht is displayed if the process has not exceeded the specified timeouts. Controlling timeouts Timeouts are specified in seconds and should be tuned to CPU size and quality of documents Poor quality documents on virtualized environments can easily consume about a minute per page. Debugging OCR proces By default output from the external components are written to logfiles, which can be disabled by adding this option Note that there is a switch in configuration file (context.xml) which can disable file deletion on the server Understanding integrated search The integrated fulltext serach using Elatic search is a internal/active approach to indexing the content. Content will be added to a indexing queue every time it is updated - ensuring allways updated content, but consuming CPU ressources on the indexing server. Beacuase file indexing is very CPU intensive, the file indexing functionality i seperated into a service that can run on a server seperated from te main application server. Anyway the fileindexer will run from a database queue, so in most cases seperation is not strictly required. The basic search service requires TS file indexing service (queue handler) Elastic search server (search engine) For multitenant setups a single TS file indexing service can service multiple instances, as long as they write requests to the same queue (using DB views). The Elastic search server can also handle multiple applications. If PDF OCR functionality is needed the following components needs installation too Ghostscript (PDF to TIFF conversion) Tesseract (OCR library) The above components for OCR must be installed on the file indexing server. Behind the scenes Indexes in Tempus Serva is stored in intermediate tables in the database. ElasticSearch indexes can be dropped an regenerated from the intermediate storage. Data indexing Data is mainly indexed in one large text blob. Submit data > Stored in lucenedatastore > Transfer to ElasticSearch For solutions using version history data will be reused, in order to minimize the overhead. File indexing File indexes points to the record, not the file itself. Likewise permission checks will rely on read access to a record. Upload file > Stored in lucenefilequeue > tsFileIndexingService > Transfer to ElasticSearch The indexing service handles files in various conversion processes tsFileIndexingService > Apache Tika (most files) tsFileIndexingService > terrasect (tif images) tsFileIndexingService > GhostScript > terrasect (PDF images) For multi application installation  lucenefilequeue  is made for sharing between applications. ElasticSearch structure Multiple applications can share the same ElasticSearch server / APPLICATION / SOLUTION / RECORD ID Records contains the must general information Title Content (large text blob) SagID DataID FieldID (in case of subrecords) ModifiedAt ModifiedBy (UserID) Serahc results are filtered against the Tempus Serva permission engine  on record level . Data and subrecords (such as files) are stored in the same area, with slight adjustment to their record ID: DataID + "f" + FileID /tempusserva/crm/6541 /tempusserva/crm/6541f45