Abstract: A method of searching all tables in a data model is disclosed, using a non-materializing virtual table interface that acts as a view into the underlying data model. The virtual table is virtually built on the fly at query execution time, and maps to all columns and rows within the data model. A query on the virtual table is translated into a set of data model queries for searching the data model, based on columns selected from the virtual table and other specified search parameters, as well as the virtual table definition. The search process works in conjunction with data domains, and uses compaction and tokenization of data.

Abstract: An apparatus, computer-readable medium, and computer-implemented method for generating a searchable archive, the method including receiving a set of tabular data comprising a plurality of rows, storing data corresponding to a group of rows in the plurality of rows in a compacted file, the compacted file comprising one or more compressed segments. The compressed segments can store data corresponding to a portion of the rows in the group of rows and can store the data corresponding to the group of rows in column-major order. The compressed segments can store one or more token values corresponding to one or more data values in the set of tabular data and the token values can be generated by dividing the set of tabular data into columns and assigning a different token to each unique data value within each of the columns.

Abstract: A method of searching all tables in a data model is disclosed, using a non-materializing virtual table interface that acts as a view into the underlying data model. The virtual table is virtually built on the fly at query execution time, and maps to all columns and rows within the data model. A query on the virtual table is translated into a set of data model queries for searching the data model, based on columns selected from the virtual table and other specified search parameters, as well as the virtual table definition. The search process works in conjunction with data domains, and uses compaction and tokenization of data.

Abstract: An apparatus, computer-readable medium, and computer-implemented method for generating a searchable archive, the method including receiving a set of tabular data comprising a plurality of rows, storing data corresponding to a group of rows in the plurality of rows in a compacted file, the compacted file comprising one or more compressed segments. The compressed segments can store data corresponding to a portion of the rows in the group of rows and can store the data corresponding to the group of rows in column-major order. The compressed segments can store one or more token values corresponding to one or more data values in the set of tabular data and the token values can be generated by dividing the set of tabular data into columns and assigning a different token to each unique data value within each of the columns.

Abstract: A searchable archiving system. A searchable archiving system includes one or more compacted files of archive data loosely coupled to a search process. To create a compacted file, an archiving process tokenizes the archive data, optimizes the tokenized archive data, and extracts archive metadata from the tokenized data. The tokenized data may then be compressed in a variety of ways into compressed segments that may be individually accessed and decompressed by the search agents. Before compression, segment metadata is extracted from the segments. The compressed segments and segment metadata are then combined to create a compacted file. The search process accesses the compacted files by consulting locally stored archive metadata extracted from the files during the compaction process. The search process then invokes one or more search agents that actively search the compacted files. The search agents do so by using the segment metadata to identify segments to decompress and search.

Abstract: A searchable archiving system. A searchable archiving system includes one or more compacted files of archive data loosely coupled to a search process. To create a compacted file, an archiving process tokenizes the archive data, optimizes the tokenized archive data, and extracts archive metadata from the tokenized data. The tokenized data may then be compressed in a variety of ways into compressed segments that may be individually accessed and decompressed by the search agents. Before compression, segment metadata is extracted from the segments. The compressed segments and segment metadata are then combined to create a compacted file. The search process accesses the compacted files by consulting locally stored archive metadata extracted from the files during the compaction process. The search process then invokes one or more search agents that actively search the compacted files. The search agents do so by using the segment metadata to identify segments to decompress and search.

Abstract: A searchable archiving system. A searchable archiving system includes one or more compacted files of archive data loosely coupled to a search process. To create a compacted file, an archiving process tokenizes the archive data, optimizes the tokenized archive data, and extracts archive metadata from the tokenized data. The tokenized data may then be compressed in a variety of ways into compressed segments that may be individually accessed and decompressed by the search agents. Before compression, segment metadata is extracted from the segments. The compressed segments and segment metadata are then combined to create a compacted file. The search process accesses the compacted files by consulting locally stored archive metadata extracted from the files during the compaction process. The search process then invokes one or more search agents that actively search the compacted files. The search agents do so by using the segment metadata to identify segments to decompress and search.

Abstract: A searchable archiving system. A searchable archiving system includes one or more compacted files of archive data loosely coupled to a search process. To create a compacted file, an archiving process tokenizes the archive data, optimizes the tokenized archive data, and extracts archive metadata from the tokenized data. The tokenized data may then be compressed in a variety of ways into compressed segments that may be individually accessed and decompressed by the search agents. Before compression, segment metadata is extracted from the segments. The compressed segments and segment metadata are then combined to create a compacted file. The search process accesses the compacted files by consulting locally stored archive metadata extracted from the files during the compaction process. The search process then invokes one or more search agents that actively search the compacted files. The search agents do so by using the segment metadata to identify segments to decompress and search.