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Index Text: make editing documents online simple

Document editing is a routine process for the people familiar to business paperwork. It is possible to adjust a Word or PDF file on the go, thanks to numerous solutions that allow applying changes to documents one way or another. The common option is to use desktop tools, but they take up a lot of space on a computer and affect its performance drastically. Online PDF editing tools are much more convenient for most users, though the vast part don't cover all the needs.

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Using pdfFiller, you can save, edit, generate PDF documents efficiently, in one browser tab. The platform supports not only PDF documents but other formats, i.e., Word, images, PowerPoint and more. Upload documents from your device and start editing in just one click, or create a new one yourself. pdfFiller works across all devices with active internet connection.

Discover the fully-featured text editing tool for starting to modify documents. A great variety of features makes you able to change the content and the layout. Using pdfFiller, you can edit pages efficiently, place fillable fields anywhere on the form, add images, text formatting and digital signatures.

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Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
Text indexing is defined as the process of converting text or texts into a list of words. Since a text or texts are given as unstructured forms by itself or themselves essentially, it is almost impossible to process its raw form directly by using a computer program.
A full-text index is a special type of index that provides index access for full-text queries against character or binary column data. A full-text index breaks the column into tokens and these tokens make up the index data.
To create a full text index choose your table and right click on that table and select Define Full-Text Index option. Now select Unique Index. It is compulsory that for Full Text Index table must have at least one unique index. Select columns name and language types for columns.
Full-text search refers to the functionality in SQL Server that supports full-text queries against character-based data. ... For example, if the indexed text contains the phrase tables can include indexes, the full-text index would contain four tokens: tables, can, include, and indexes.
Each database can contain zero or more full-text catalogs. ... Beginning with SQL Server 2008, a full-text catalog is a virtual object and does not belong to any file group. A full-text catalog is a logical concept that refers to a group of full-text indexes.
Indexing is a process where our server crawls through your website, fetches every page that it can find and stores a list of keywords that are found on your site in our database. These keywords are then used to find pages on your site when a user perform search operations.
A collection can have at most one text index. A compound index can include text index keys in combination with ascending/descending index keys.
MongoDB can use the intersection of multiple indexes to fulfill queries. In general, each index intersection involves two indexes; however, MongoDB can employ multiple/nested index intersections to resolve a query.
Compound Index: For multiple fields, MongoDB supports user-defined indexes, such as compound indexes. The sequential order of fields in a compound index is significant in MongoDB. Multi key Index: To index array data, MongoDB uses multi key indexes.
Indexes support the efficient execution of queries in MongoDB. Without indexes, MongoDB must perform a collection scan, i.e. scan every document in a collection, to select those documents that match the query statement. ... The index stores the value of a specific field or set of fields, ordered by the value of the field.
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