Bulk Loading RDF Source Files into one or more Graph IRIs

This document details how large RDF data set files can be bulk loaded into Virtuoso. The data sets may consist of multiple files, which may be loaded into one or several graphs.

Prerequisites

Bulk loading process

  1. The name of the RDF graph into which the data set(s) should be loaded can be specified through a text file placed in the same source directory as the source data files. This file's contents will override any options specified in the ld_dir() or ld_dir_all() function call. The content of a file with the same name as a data file plus the .graph filename extension will be used for that data file (e.g., my_data.n3.graph will be used with my_data.n3). The content of a file named global.graph will be used for any and all other data files in that directory.

    Note: if the third parameter (graph_iri) of ld_dir() or ld_dir_all() is NULL, any data files that do not have a corresponding .graph file will not be loaded.. If datasets are NQUAD or TRIG then the graph name specified in such dataset files in quad format will always be used.

    <source-file>.<ext> <source-file>.<ext>.graph global.graph

    — e.g., —

    myfile.n3 ;; RDF data myfile.n3.graph ;; Contains Graph IRI name into which RDF data from myfile.n3 will be loaded global.graph ;; Contains Graph IRI name into which RDF data from any files that do not have a specific graph name file will be loaded

  2. Place the graph IRI, , e.g., http://dbpedia.org, in the *.graph file.
  3. Use isql to register the file(s) to be loaded by running the appropriate function, e.g. --

    SQL> ld_dir ('/path/to/files', '*.n3', 'http://dbpedia.org');

    • ld_dir() to load only from the specified directory, excluding any subdirectories --

      SQL> ld_dir ('<source-filename-or-directory>', '<file name pattern>', 'graph iri');

    • ld_dir_all() to load from the specified directory, including any and all subdirectories --

      SQL> ld_dir_all ('<source-filename-or-directory>', '<file name pattern>', 'graph iri');

  4. The table DB.DBA.load_list can be used to check the list of data sets registered for loading, and the graph IRIs into which they will be or have been loaded. The ll_state field can have three values: 0 indicating the data set is to be loaded; 1 the data set load is in progress; or 2 the data set load is complete:

    SQL> select * from DB.DBA.load_list; ll_file ll_graph ll_state ll_started ll_done ll_host ll_work_time ll_error VARCHAR NOT NULL VARCHAR INTEGER TIMESTAMP TIMESTAMP INTEGER INTEGER VARCHAR _____________________________________________________________________________________________________________________________________ ./dump/d1/file1.n3 http://file1 2 2010.10.20 9:21.18 0 2010.10.20 9:21.18 0 0 NULL NULL ./dump/d2/file2.n3 http://file2 2 2010.10.20 9:21.18 0 2010.10.20 9:21.18 0 0 NULL NULL ./dump/file.n3 http://file 2 2010.10.20 9:21.18 0 2010.10.20 9:21.18 0 0 NULL NULL 3 Rows. -- 1 msec. SQL>

  5. Finally, perform the bulk load of all data by executing the rdf_loader_run() function:

    SQL> rdf_loader_run();

    • Note: the rdf_loader_run() function prototype is:

      rdf_loader_run ( IN max_files INTEGER := NULL , IN log_enable INT := 2 )

      One of the side effects of the default log_enable = 2 setting is that triggers are disabled, to speed the loading of data. If triggers are required (e.g., for RDF Graph replication between nodes), then the log_enable mode should be set to 3 when calling the rdf_loader_run() function as follows:

      rdf_loader_run (log_enable=>3);

Running multiple Loaders

On a multi-core machine, it is recommended that data sets be split into multiple files, and that these be registered in the DB.DBA.load_list table with the ld_dir() function. Once registered for load, the rdf_loader_run() function can be run multiple times, it is recommended a maximum of no cores / 2.5, to optimally parallelize the data load and hence maximize load speed. A typical script that can be run from command line (e.g., bulk_load.sh) might look like --


. /opt/openlink/virtuoso/virtuoso-enterprise.sh
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" & 
isql 1111 dba dba exec="rdf_loader_run();" &  
wait 
isql 111 dba dba exec="checkpoint;" 

and be run with the command:


sh /opt/openlink/virtuoso/bin/bulk_load.sh

Stopping the bulk load process

  1. All RDF loader threads can be stopped using the command rdf_load_stop(), at which point all currently running threads will be allowed to complete and then exit:

    SQL> rdf_load_stop();

Checking bulk load status

  1. Once the rdf_loader_run() is complete, you can check the DB.DBA.load_list to confirm all data sets were loaded successfully. This is indicated by an ll_state value of 2 and an ll_error value of NULL.

Cluster-specific details

  1. On a Virtuoso Clustered Server the "cl_exec('rdf_ld_srv(log_enable)')" commands (where log_enable is 2 or 3, as with the rdf_loader_run() function) can be used to invoke a single "rdf_loader_run()" on each node of the cluster:

    SQL> cl_exec('rdf_ld_srv()'); Done. -- 265956 msec. SQL>

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