KR101737246B1 - Index configuration for searchable data in network - Google Patents

Abstract

An entity using the computing device may upload searchable data to the network service to be indexed and stored. The data may comprise a plurality of data fields, each data field having one or more associated values. The network service may analyze the data fields and their respective associated values to determine data field types for the data fields and search options to be enabled for the data fields. Based at least in part on data field types and search options, the network service may generate a search index configuration / schema. Based at least in part on the generated search index configuration / schema, the network service can generate a search index for the data. In some embodiments, the network service may also convert the data into a format compatible with the search index.

Description

INDEX CONFIGURATION FOR SEARCHABLE DATA IN NETWORK [0002]

Computing devices are often used to communicate across a network, such as the Internet. Network-based services provided by service providers are becoming increasingly popular. Computing devices are frequently used to connect to network-based services that can provide services such as storing searchable data to be used / retrieved by computing devices or providing additional processing capabilities to computing devices. With regard to network-based storage of discoverable data, users of computing devices typically need to select the configuration and / or format for their data so that their data can be indexed and stored by network-based services. Conventional approaches typically require users to determine an appropriate configuration for their data. Conventional approaches may also require a format that the user's data must follow, thereby requiring users to convert their data into that format. This can be inconvenient, cumbersome, or difficult for users who want to use network based services for storage and retrieval, thereby degrading the overall user experience.

Various embodiments according to the present disclosure will be described with reference to the drawings.
BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 illustrates an exemplary environment in which aspects of various embodiments may be utilized.
Figure 2 illustrates an exemplary system embodiment of an index configuration for searchable data in a networked environment;
Figure 3 illustrates an exemplary web browsing environment in which an index configuration for searchable data in a networked environment can be used.
4 illustrates an exemplary search index that may be generated in accordance with various embodiments;
5 illustrates an exemplary method embodiment of an index configuration for searchable data in a networked environment;
Figure 6 illustrates an exemplary device that may be used to implement aspects of various embodiments.
Figure 7 illustrates exemplary components of a client device as illustrated in Figure 6;
Figure 8 illustrates an environment in which various embodiments may be implemented;

Systems and methods for generating an index configuration that can be used to generate a search index for data received over at least one network are described. At least some embodiments allow a computing device to upload data to a storage allocation provided by a network service (i.e., a network service provider) over a network (e.g., the Internet). The network service may analyze the uploaded data to determine the type of data field (i. E., The data field type) for each data field in the plurality of data fields. The network service may analyze the uploaded data to determine whether to enable one or more search options for each data field in the plurality of data fields included in the uploaded data.

At least some embodiments allow a computing device to upload data to a storage quota provided by network services (i.e., network service providers, network-based services, etc.) over a network (e.g., the Internet). One or more users / entities may retrieve the uploaded data across the network using a search index that may be provided by the network service (e.g., using one or more computing devices).

In some embodiments, the uploaded data may include a plurality of data fields. The network service may analyze the uploaded data to determine the type of data field (i. E., The data field type) for each data field in the plurality of data fields. For example, each data field may be of an integer type, a text type, or a type, including a literal type.

Moreover, the network service may analyze the uploaded data to determine whether to enable one or more search options for each data field in the plurality of data fields included in the uploaded data. For example, the network service may determine, for each of its data fields, whether to enable the option to include its data field in the search index to be generated. The network service may also determine, for each of its data fields, whether to enable the option to calculate a facet count for each data field. In addition, the network service may determine, for each of its data fields, whether to enable the option to return / provide a value associated with the respective data field in response to the search query.

In some embodiments, the network service is configured to determine the index configuration (i. E., Search index configuration, schema, < RTI ID = 0.0 > Index setting, etc.] can be generated. The network service may generate a search index for the data based at least in part on the index configuration.

As can be provided in accordance with various embodiments, various other functions and advantages are described and suggested below.

FIG. 1 illustrates an exemplary environment 100 in which aspects of various embodiments may be utilized. Exemplary environment 100 includes at least one computing device 102, a network 104 (e.g., the Internet, an intranet, a local network, a LAN, etc.), and network services 106 Service provider, network-based service, etc.). At least one computing device 102 may be communicatively connected to the network service 106 via the network 104. In some embodiments, the computing device 102 may communicate the network service 106 without the network 104, such as the Internet. There may also be a user 108 or other entity (e.g., an individual, company, organization, group, etc.) 108 of at least one computing device 102, as shown in FIG. A user or entity 108 may communicate data 110 from at least one computing device 102 over a network 104 to a network service 106 and vice versa.

In some embodiments, the network service 106 may include and / or utilize one or more hosts or servers coupled to the network 104. For example, the network service 106 may rent storage space to customers, such as a user of the device 102 or other entity (s) (e.g., company, organization, group, Accordingly, the user / entity 108 of the computing device 102 may store data from the device 102 in the network service 106 using the network 104. In other words, user / entity 108 and / or device 102 may utilize network-based computing storage via network service 106.

In one example, the computing device 102 may transmit data 110 to be stored in the network service 106 over the network 104, as shown in FIG. Data 110 may be, for example, any data used in network-based computing for retrieval, database storage, running applications, running virtual machines, running an operating system, and the like. The computing device 102 may send data 110 to be stored in the storage quota provided by the service 106. For example, the user / entity 108 may purchase or rent storage space on the service 106, and the storage quota may be allocated and assigned to the user / entity 108. In some embodiments, the user / entity 108 may have a particular account and / or storage quota on the service 106; The storage space (e.g., storage quota) allocated and allocated to the entity 108 may be associated with an account of the entity 108.

The entity 108 may also want the network service 106 to provide a search index for the data 110. Conventional approaches typically require the entity 108 to provide a configuration (i.e., index configuration, schema, index settings, etc.) for the data 110 to be indexed first, or conventional approaches may require data (E.g., SDF (Search Data Format)) that the server 110 must follow, thus requiring the entity 110 to convert its data 110 into the required configuration. However, this may be inconvenient, cumbersome, or difficult for the entity 108.

In some embodiments, the entity 108 may transmit data 110 to the network service 106 and the network service 106 may automatically transmit the data 110 (i. E., An indication from the entity 108 Request) and generate an index configuration (e.g., a search index configuration, a search index schema, etc.) for the data 110. For example, in some embodiments, the network service 106 may be configured to determine a data field type 112 for one or more data fields included in the data 110, By determining the search option 114 to be enabled for the above data fields, the data 110 can be analyzed.

With regard to determining the data field type 112, a plurality of data field types (e.g., an integer data field type, a literal data field, etc.) to which the data 110 Type, or text data field type, etc.). In some embodiments, data 110 may include a plurality of data fields, and each data field includes a value (e.g., the data field "name" may have a value of "ABCD-brand shirt" ; The data field "price" can have a value of "$ 20 "; The network service 106 may analyze a plurality of data fields included in the data 110 to determine a data field type for each data field in the plurality of data fields.

For example, for each data field, the network service 106 may determine whether the value of each of the respective data fields includes positive integers in excess of a specified integer amount threshold (e.g., The values of "price" are all integers); In such a case, it can be determined that the respective data field is an integer data field type. The network service 106 may also include, for example, having a value associated with a data field having a positive alphanumeric character that is greater than a specified lower literal amount threshold but less than a specified upper literal amount threshold , The number of distinct values associated with the data field is less than the specified literal distinct amount threshold, the percent of individual values is less than the specified literal individual percent threshold, or at least the length of the values is less than the specified literal length threshold By determining one, one can determine if the data field is a literal data field type. In some embodiments, the network service 106 may consider the frequency and / or percentage of individual values in the data field value and the length of the data field value, for example, to identify the data field as being of a text type Have; If there are many individual values in the data field value and the value of the data field is very long (e.g., has a number of alphanumeric characters exceeding the threshold), then the data field is likely to be a text type. In some embodiments, if the data field is not an integer type or a literal type, the data field may be a text type.

With regard to determining the search option 114, the network service 106 may determine one or more search options 114 to be enabled for (the data fields of) the data 110. For example, if the data field type for the data field included in the data 110 has been determined, the network service 106 determines whether to enable the option to include the data field in the search index to be generated, Whether to enable the option to calculate the count, and / or to enable / disable the option to return / provide the search value for the data type.

For example, if it is determined that the data field type for the data field is text (e.g., the data field is a "product description" and the value is a long paragraph), the network service 106 retrieves the data field You can select options that are not included in the index. In another example, for a data field having an integer data field type (e.g., the data field is a "production year" and the value is year), the network service 106 provides an option to include the data field in the search index to be created And the service 106 may enable the option to calculate the facet count for the data field. The facet count may be a count of how many search results belong to a particular category for the data field. For example, if the data field is a "production year ", the network service 106 may determine that it is appropriate to provide a facet count that indicates how many search results are associated with a particular category; For example, in relation to the "production year" data field, 23 search results are associated with "1984 ", 12 search results are associated with" 2002 Quot ;, and 18 search results are an example of facet counts associated with "2010 ".

In some embodiments, the network service 106 may also decide to enable the return of values for the data field. For example, in response to a search request, all of the searchable data fields (and values) need not be returned (e.g., retrieved and presented). The network service 106 may determine whether to return a value for the data field.

Now, looking at the creation of a configuration for data 110, the network service can automatically (e.g., without instructions from entity 108) configure the data 110 (e.g., search index configuration, schema, Can be generated. In some embodiments, the configuration can help, at least in part, determine how to index the data 110; The index configuration may, at least in part, determine how the data 110 will be indexed. The configuration or schema specifies a data field type for each data field included in the data 110, indicates whether each data field is searchable, and indicates whether each data field is rankable (e.g., (sortable)], and other similar information useful for building an index. After creating a configuration for the data 110 to be indexed, the network service 106 may generate a search index for the data 110 based, at least in part, on the generated configuration.

2 illustrates an exemplary web browsing environment 200 in which an index configuration for searchable data in a networked environment can be used. The exemplary web browsing environment 200 may include an exemplary web page 202 being rendered by an application, such as a web browser. In this example, the web page 202 may be provided by a network service associated with domain ABCD.com.

The user / entity (e.g., a customer of the network service) may be a retailer and may upload data associated with, for example, sales of the shirt. Data may be indexed and stored by the network service and made discoverable by others, such as potential customers of the user / entity. The network service may analyze the data to determine the type of data field (i. E., The data field type) for each of the data fields included in the data. For example, data relating to the sale of a shirt may include data fields such as "color" 206, "size" 208, "price" 210, " The network service may analyze the values for each data field to determine the type for each of the data fields. The network service may also determine one or more options (e.g., search options) to enable for each data field. The network service can then create a configuration / schema for the data to be indexed. The network service may then create an index for the data based on the configuration / schema.

For example, the network service may identify the data field "color " and may determine that its value (e.g.," red "," blue "," white "," green " Quot; color "data field as a literal type. In this example, data and values associated with a "color" data field (e.g., "red", "blue", "white", "green", etc.) may be uploaded by an entity. The network service may identify a "size" data field in at least a portion of the uploaded data and determine that the values contained in the "size" data field are numeric values. In this case, the network service may determine that the "size" data field is of integer type. In a further example, the network service identifies values for "description" data fields in at least a portion of the uploaded data and the values include both numeric and alphabetic characters and / And / or that the values have individual terms / phrases / symbols. In this case, the network service may determine that the "description" data field is a text type.

With respect to the search options, the network service may determine, for each of the data fields, whether to enable the option of including their data field in the search index to be generated. For example, in some embodiments, "description" data fields (and corresponding values) may be omitted from the search index. In such a case, when the query is executed with respect to the search index, the query will not search for the "Description" data field. However, some embodiments may and may indeed include "description" data fields and values in the search index.

Moreover, the network service may determine whether to enable the option to calculate the facet count for each data field. As noted above, facet counts indicate which of the results that match the search query have a particular value (or range of values) for a particular data field. For example, as shown in FIG. 2, a "color" data field having a value of "red" has 23 facet counts (ie, 23 search results for a "red" shirt) The "blue" value of the data field has a facet count of 28 (i.e., 28 search results for a "blue" shirt) and the like. In some embodiments, the values may overlap (i. E., Need not be an exact match). For example, a shirt with blue and red stripes may be associated with both a "blue" value and a "red" value, and / or other values. In some embodiments, the network service may determine that facet counts should be calculated for some of the data fields (not necessarily all of the data fields). For example, a network service may decide that there must be facet counts for "color", "size", and "price", not for "description"

In addition, the network service may determine whether to enable the return of values for the data field. For example, the data field "internal product identification number" contained in the data - the value of the data field may be the product identification number within the entity and is not intended to be seen by the entity's customer; Accordingly, the network service may decide not to enable the return of values for this data field.

It is contemplated that there may be additional options as well as data relating to other items that the ordinarily skilled artisan would be familiar with. For example, the network service may determine whether to enable the option to make data fields rankable (e.g., classifiable). Referring to Figure 2, in some embodiments, the "Price" data field may be ranked / sorted by its value (e.g., from lowest price to highest price, from highest price to lowest price, The "color" data fields can be sorted alphabetically (not illustrated in FIG. 2) and others. In another example (not illustrated), there may be data related to media files such as music, video, books, photos, and the like. Exemplary data fields for a media file may include "title", "artist / author", "production year", "price", "rating", and the like, including but not limited to.

Upon determining one or more search options for the types of data fields included in the data and the data fields contained in the data, the network service may generate a configuration for the data (i.e., search index configuration, schema, etc.) , The creation of the configuration is based at least in part on the determined data field types and search options.

After creating the configuration, the network service may generate a search index for the data based at least in part on the generated configuration. Accordingly, the data provided by the entity may be stored in the network service, and a search index for the data may be generated by the network service.

3 illustrates an exemplary system embodiment 300 of an index configuration for searchable data in a networked environment. Exemplary system embodiment 300 includes a system controller 302, at least one communication transceiver 304, a data field type analyzer 306, a search options analyzer 308, an index configuration generator 310, an index generator 312 ), And at least one storage quota 314.

The system controller 302 may facilitate the system to perform various operations for index configuration on searchable data in a networked environment. The system controller 302 is coupled to at least one of the plurality of systems 300 for facilitating data communication within the system, as well as for facilitating data transfer to and / Lt; RTI ID = 0.0 > 304 < / RTI >

Data received by system 300 (e.g., from an entity) via communication transceiver 304 is analyzed by data field type analyzer 306 to determine the type associated with each of the data fields included in the data. . The data may also be analyzed by the search options analyzer 308 to determine whether to enable one or more search options in association with each of the data fields included in the data. Based at least in part on the determined data field types and the one or more determined search options, the index configuration generator 310 may generate a search index configuration / schema. Then, based at least in part on the generated search index configuration / schema, the index generator 312 may generate a search index for the data. The search index generated for the data and data may be stored in one or more storage quotas 314.

It is contemplated that various components and / or portions of the exemplary system 300 may be implemented as hardware, software, or a combination of both. For example, various portions of system 300 may be implemented with circuitry, processor, application, portions of programming code, algorithms, or any combination thereof, or the like. It is also contemplated that Figure 3 is an example and is intended for illustration purposes only. For example, the various components need not be configured according to FIG. In some embodiments, the various components need not be tightly coupled to each other, but instead may be spread over more distributed systems. For example, components such as index generators may reside on separate / different networks and / or systems, but still maintain communication link (s) with other components.

FIG. 4 illustrates an exemplary search index 400 that may be generated in accordance with various embodiments of the present disclosure. Referring to FIG. 4, there may be a root node 402 in the search index. In the example of FIG. 4, data may be uploaded by an entity such as a T-shirt retailer. The data may correspond to information about the T-shirt (root node 402) the entity is selling. There may be parent nodes (e.g., 404, 406, 408) that represent data fields for data associated with the T-shirt. For example, a T-shirt may have a color data field 404, a size data field 406, and a price data field 408.

Continuing with the example of FIG. 4, the data fields may have child nodes (e.g., 410, 412, 414, 416, 418) that represent values within each of their respective data fields. For example, at least two colors (Red 410 and Blue 412), one size (Medium 414), and two price ranges [(<$ 10 416 and $ 10- $ 20 418) There may also be a set of search results / items (e.g., T-shirts 420, 422, 424, 426, 428, 430) that can correspond to one or more of the data fields and values .

In this example, all three data fields (color 404, size 406, and price 408) should be included in the search index, may have facet counts, Provided / returned. For example, color: red 410 may have a facet count of three, and color: blue 412 may have a facet count of two, as shown in FIG. Size: Middle 414 may have a facet count of two. Price: <$ 10 (416) can have a facet count of 1, and prices: $ 10- $ 20 (418) can have a facet count of 2. Moreover, for example, a search query of color: red 410 would return T-shirts 422, 424, and 428; For example, a search for red 410 and blue 412 would return T-shirt 422; Others. Although the exemplary search index 400 is shown as being a tree structure, it is contemplated that the search index may be generated in many other ways and / or with other structures.

5 shows an exemplary method embodiment 500 of indexing for searchable data in a networked environment. Again, it will be appreciated that, unless otherwise stated, there may be additional, fewer, or alternative steps performed in a similar or alternative order or in parallel, within the scope of the various embodiments. At step 502, the exemplary method embodiment 500 may receive data to be indexed. For example, the method 500 may receive data to be indexed (uploaded by an entity), and the data may include a plurality of data fields (or at least one data field). In some embodiments, the exemplary method may also determine a name for a data field associated with the data. In step 504, the exemplary method 500 may determine the type of data field associated with the data. For example, the method may determine a field type (of a plurality of field types) associated with each data field in the plurality of data fields. The plurality of field types may include (but are not limited to) at least one of integer type, literal type, or text type. The type of data field may be determined from a plurality of data field types. In some embodiments, a plurality of data fields and their types and / or names may be identified based on tags, signals, or other indications. The method 500 may, in step 506, determine one or more search options to be enabled in association with the data field associated with the data. For example, one or more search options may include an option to include each data field in a search index to be generated, an option to calculate a facet count for each data field, or an option to provide one or more values associated with each data field Or the like. Step 508 may include generating an index configuration for the data based at least in part on the type of data field and one or more search options. Then, at step 510, the method 500 may generate a search index for the data based at least in part on the index configuration for the data. In some embodiments, a search index may be generated based on whether the data is structured data, free text data, or a combination of both. In some embodiments, the exemplary method may also provide at least one of data, an index configuration, or an index to be searchable by one or more search queries.

There can be various other information included in the index configuration. For example, the configuration may include whether the data field is facetable (i. E. Whether the facet count should be calculated for the data field), whether the data field is rankable (i. E. Whether the values should be sorted, etc.), and other information.

In some embodiments, the network service may convert the data received / uploaded in the first format into a second format compatible with the search index and store the converted data in the second format in one or more storage quotas . For example, a network service may receive data from an entity that may have any one or more of several different formats, such as .PDF, .DOC, .DOCX, .CSV, JSON, .XML, The network service may automatically convert the data into a format compatible with the network service (e.g., recognizable by the network service, workable in the network service, etc.) such as SDF (Search Data Format).

In some embodiments, the network service is configured to compare the first format and the second format and modify at least one data field associated with the first format to correspond to at least one data field associated with the second format, Data can be converted. For example, the network service may compare the format (s) of data received from the entity and modify / update the format so that the format is compatible with the network service. This may include identifying if one or more data fields in the format should be added, removed, or modified.

In some embodiments, the network service may determine that the type of the data field is an integer type, based on determining that the value associated with the data field has a positive integer greater than the specified positive integer threshold. The network service may also be configured such that a value associated with a data field has positive alphanumeric characters that are greater than a specified lower literals amount threshold but less than a specified literal amount threshold, that the number of distinct values associated with the data field is less than the specified literal individual amount threshold, The type of the data field can be determined to be a literal type by determining at least one of the percentages being less than the specified literal individual percent threshold, or the length of the values being less than the specified literal length threshold. In addition, the network service may be configured so that the value associated with the data field is a positive integer and alphanumeric characters greater than the specified text amount threshold, a number of individual characters exceeding the specified text individual amount threshold, Based on determining that the type of the data field is a text type based on determining that the data field has at least one of the characters of length greater than the specified text length threshold.

In some embodiments, the network service may decide to enable an option to include a data field in the search index to be generated, the determination being made based on a signal contained in the data field indicating that the data field should be included in the search index At least partially. The network service may also determine to enable an option to calculate a facet count for a data field, the determination being such that the quantity of at least one value associated with the data field exceeds a specified facet count lower threshold, Is less than the upper threshold. The network service may further determine to enable an option to provide a value associated with the data field in response to the associated search query, the determination being based on a signal At least partially.

In some embodiments, one or more search queries (e.g., terms in a search query) may be used by the network service. For example, a network service may infer from search queries that a searcher is overlooking a particular data field. As a result, the network service can determine that the data field must be, for example, a literal type.

In some embodiments, when a searcher enters query terms and requests a search, one or more search results may be presented in a particular ranking expression (e.g., order of results), by relevance or the like. The present disclosure may enable the generation of more complex ranking expressions that take into account other factors such as query independent factors (e.g., there may be popularity data fields included in the data, etc.). The present disclosure may also enable analysis to suggest ranking expressions that can be used by looking at the data and determining that the data field is meaningful in terms of popularity. For example, there may be a text body data field type and its length (e.g., the inverse of its length) may be considered and may provide useful information about the rankings.

In some embodiments, the data field types may also include a geolocation type, a time type, a date type, or a floating point number type.

Various embodiments in accordance with the present disclosure may also utilize sample data. For example, the user / entity may first provide sample data to the network service. The network service may analyze the sample data to determine the types of data fields and search options. Based on the data field types and search options for the sample data, the network service may create an index configuration and then generate a search index based on the generated index configuration.

6 illustrates an exemplary electronic user device 600 that may be used in accordance with various embodiments. Although a portable computing device (e.g., an e-book reader or tablet computer) is shown, any electronic device capable of receiving, determining, and / or processing input may be used in accordance with various embodiments discussed herein It will be appreciated that the devices herein may include, for example, desktop computers, notebook computers, personal data assistants (PDAs), smart phones, video game consoles, television set top boxes, and portable media players. In some embodiments, the computing device 600 may be an analog device, such as a device that can perform signal processing using an operational amplifier. In this example, the computing device 600 has a display screen 602 on the front that will display information to a user facing the display screen under normal operation (e.g., on the same side of the display screen of the computing device). The computing device, in this example, includes at least one camera 604 or other imaging element for capturing video or image information over at least one view of at least one camera. In some embodiments, the computing device may include only one imaging element, and in other embodiments, the computing device may include several imaging elements. Each image capture element may be, among others, a camera, a charge-coupled device (CCD), a motion detection sensor, or an infrared sensor, among others. Where there are multiple image capture elements on the computing device, the image capture elements may be of different types. In some embodiments, the at least one imaging element may include at least one wide-angle optical element (a fisheye lens (e.g., a fisheye lens, a fisheye lens, fish eye lens, etc.). In addition, each image capture element may comprise a digital still camera configured to capture successive frames in quick succession, or a video camera capable of capturing streaming video.

The exemplary computing device 600 also includes at least one microphone 606 or other audio capture device capable of capturing audio data such as words or instructions spoken by a user of the device. In this example, the microphone 606 is located on the same side as the display screen 602 of the device, so that the microphone can better capture the words normally spoken by the user of the device. In at least some embodiments, the microphone may be a directional microphone that captures sound information from substantially immediately in front of the microphone and picks up only a limited amount of sound from the other directions. It will be appreciated that the microphone may be located on any suitable surface of any area, face, or edge of the device, in different embodiments, and that multiple microphones may be used for purposes such as audio recording and filtering, You know.

The exemplary computing device 600 includes at least one orientation sensor 608, such as a position and / or motion determining element. Such sensors may include, for example, an accelerometer or gyroscope that is operable to detect not only small movements of the computing device but also changes in the orientation and / or orientation of the device. The orientation sensor may also include an electronic or digital compass capable of indicating a direction (e.g., north or south) that the device is determined to be facing (e.g., in relation to a main axis or other such side). The orientation sensor may also include or have a global positioning system (GPS) or similar positioning element operable to determine relative coordinates of the position of the device, as well as information about the relatively large movement of the computing device. Various embodiments may include one or more of these elements in any suitable combination. As will be appreciated, the algorithms or mechanisms used to determine relative position, orientation, and / or motion may depend at least in part on the selection of the elements available to the device.

FIG. 7 illustrates a logical arrangement of the generic components of a set of exemplary computing devices 700, such as device 600 described in connection with FIG. In this example, the device includes a processor 702 that executes instructions that may be stored in a memory device or element 704. [ As will be apparent to those of ordinary skill in the art, a device may include a first data store for program instructions executed by the processor 702, a separate store for images or data, a removable memory for sharing information with other devices, removable memory, other types of memory, data storage, or non-volatile computer readable storage media. The device will typically include any type of display element 706, such as a touch screen or a liquid crystal display (LCD), but devices such as a portable media player may communicate information via other means, such as through an audio speaker . As discussed, in many embodiments, the device will include at least one image capture element 708, such as a camera or infrared sensor, capable of capturing projected images or other objects in the vicinity of the device. Methods of capturing images or video using a camera element with a computing device are known in the art and will not be discussed in detail herein. It will be appreciated that image acquisition may be performed using a single image, multiple images, periodic imaging, continuous image acquisition, image streaming, and the like. In addition, the device may include the ability to initiate and / or stop image acquisition, such as when receiving a command from a user, application, or other device. The exemplary device similarly includes at least one audio capture component 712 (such as a mono or stereo microphone or microphone array) operable to capture audio information from at least one primary direction. The microphone may be a uni-directional or omnidirectional microphone as is known for these devices.

In some embodiments, the computing device 700 of FIG. 7 may include one or more communication elements (not shown), such as a Wi-Fi, Bluetooth, RF, wired, or wireless communication system. In many embodiments, a device may communicate with a network, such as the Internet, and communicate with other such devices. In some embodiments, the device may include at least one additional input device capable of receiving conventional input from a user. This conventional input includes, for example, a push button, a touch pad, a touch screen, a wheel, a joystick, a keyboard, a mouse, a keypad, or any other such device or element through which a user can input commands to the device . However, in some embodiments, such a device may not include any buttons and may be controlled only through a combination of visual and audio commands so that the user can control the device without having to contact the device.

The device 700 may also include at least one orientation or motion sensor 710. As discussed, such a sensor may include an accelerometer or gyroscope capable of detecting changes in orientation and / or orientation, an electronic or digital compass capable of indicating the direction in which the device is determined to be facing. The mechanism (s) also include a global positioning system (GPS) or similar positioning element that can operate to determine relative coordinates of the location of the device as well as information about the relatively large movement of the computing device (or as an alternative) Or the like. The device may also include other elements such as enabling positioning through triangulation or other such approaches. These mechanisms may communicate with the processor 702 such that the device may perform any of a number of operations as described or suggested herein.

As an example, a computing device such as that described in connection with FIG. 6 may capture and / or track various information about a user over time. This information may include location, actions (e.g., sending a message or creating a document), user behavior (e.g., how often a user performs a task, how much time a user spends on a task, (E.g., how the user wants to receive the information), open applications, submitted requests, received calls, etc. In addition, . As discussed above, the information may be stored in a manner such that the information is linked or otherwise related, such that the user may access the information using any appropriate dimension or group of dimensions.

As discussed, different approaches may be implemented in various environments in accordance with the described embodiments. For example, FIG. 8 illustrates an example of an environment 800 for implementing aspects in accordance with various embodiments. As will be appreciated, although a web-based environment is used for illustration, different environments can be used, if appropriate, to implement various embodiments. The system includes an electronic client device 802 that may include any suitable device capable of operable to transmit and receive requests, messages or information via an appropriate network 804 and to convey information back to the user of the device, . Examples of such client devices include personal computers, cell phones, handheld messaging devices, laptop computers, set-top boxes, personal data assistants (PDAs), e-book readers, and the like. The network may include any suitable network, including an intranet, the Internet, a cellular network, a local area network (LAN), or any other such network or combination thereof. The components used for such a system may depend, at least in part, on the type of network and / or environment selected. The protocols and components for communicating over such a network are well known and will not be discussed in detail herein. Communications over the network may be enabled via wired or wireless connections and combinations thereof. In this example, when the environment includes a web server 806 for receiving the requests and servicing the content in response thereto, the network may include the Internet, but may be provided to other networks, as will be apparent to those of ordinary skill in the art. Alternative devices that serve a similar purpose may be used.

The exemplary environment includes at least one application server 808 and data store 810. Layers, or other elements, processes, or configurations that can be chained or otherwise configured to interact to perform tasks such as obtaining data from an appropriate data store. You will know that there can be elements. As used herein, the term "data store" refers to any device or combination of devices capable of storing data, accessing data, and retrieving data, including any arbitrary And a number of data servers, databases, data storage devices, and data storage media. The application server may include any suitable hardware and software for integrating with the data store as needed to execute aspects of one or more applications for the client device and for handling most of the data access and business logic for the application. The application server provides an access control service in cooperation with the data store, and in this example, a text, graphic, or other data to be transmitted to the user, which may be served by the web server to the user in the form of HTML, XML or other appropriate structured language, Audio, and / or video. The processing of all requests and responses, as well as delivery of content between the client device 802 and the application server 808, can also be handled by the web server 806. [ As the structured code discussed herein may be executed on any suitable device or host machine, as discussed elsewhere herein, a web server and application server are not required and are merely exemplary components You will know.

Data store 810 may include any number of individual data tables, databases or other data storage mechanisms and media for storing data related to a particular aspect. For example, the illustrated data store includes production data 812 and mechanisms for storing user information 816, which can be used to service content for production aspects. The data store is also shown to include a mechanism for storing log or session data 814. [ Which may need to be stored in a data store, such as page image information and access privilege information, which may be stored in any of the mechanisms listed above, or in additional mechanisms in the data store 810, as appropriate. You will know that there can be modes. The data store 810 may be operable to receive instructions from the application server 808 via its associated logic and to acquire, update or otherwise process the data in response thereto. In one example, a user may submit a search request for a particular type of element. In this case, the data store can access the user information to verify the user's identity and access the catalog detail information to obtain information about the elements of that type. The information can then be returned to the user, such as a list of results on a web page that the user can view through the browser on the user device 802. [ Information about a specific element of interest can be found on a dedicated page or window in the browser.

Each server will typically include an operating system that provides executable program instructions for general management and operation of the server, and typically, when executed by a processor of the server, allows the server to perform its intended functions Lt; RTI ID = 0.0 &gt; computer-readable &lt; / RTI &gt; Appropriate implementations of the operating system and general functionality of the servers are known or commercially available and are readily implemented by the ordinary artisan, particularly in light of the teachings herein.

In one embodiment, an environment is a distributed computing environment that utilizes several computer systems and components interconnected via communication links using one or more computer networks or direct connections. However, those of ordinary skill in the art will appreciate that such a system may operate equally well in a system having fewer or more components than those illustrated in FIG. As such, the illustration of system 800 in FIG. 8 should not be construed as limiting the scope of the present disclosure, but rather should be viewed as illustrative in nature.

As discussed above, the various embodiments may include, in some cases, a wide variety of operating environments, which may include one or more user computers, computing devices, or processing devices that may be used to operate any of a number of applications Lt; / RTI &gt; The user or client devices may be cellular, wireless, and handheld devices capable of executing mobile software and supporting a number of networking and messaging protocols, as well as a number of general purpose personal computers, such as desktop or laptop computers, And the like. Such a system may also include a number of workstations running any of a variety of commercially available operating systems and other known applications for purposes such as development and database management. These devices may also include other electronic devices, such as a dummy terminal, a thin-client, a gaming system, and other devices capable of communicating over a network.

Various aspects may also be implemented as part of at least one service or web service, such as may be part of a service-oriented architecture. Services such as Web services can be any suitable type of service, such as using messages exchanged in an extensible markup language (XML) format and using an appropriate protocol such as SOAP (derived from "Simple Object Access Protocol & You can communicate using messaging. Processes provided or executed by these services may be written in any suitable language, such as Web Services Description Language (WSDL). Using languages such as WSDL enables features such as automatic generation of client-side code in various SOAP frameworks.

Most embodiments are based on at least one of the familiar techniques familiar to those of ordinary skill in the art to support communications using any of a variety of commercially available protocols such as TCP / IP, OSI, FTP, UPnP, NFS, CIFS, Network. The network may be, for example, a local area network (LAN), a wide area network (WAN), a virtual private network (VPN), the Internet, an intranet, an extranet, a public switched telephone network (PSTN) And any combination thereof.

In embodiments using a web server, a web server, including an HTTP server, an FTP server, a CGI server, a data server, a Java server, and a business application server may be any of a variety of servers or mid- Can be executed. The server (s) may be implemented as one or more scripts or programs written in any programming language, such as Java ?, C, C #, or C ++, or in any scripting language such as Perl, Python, or TCL, Such as by executing one or more web applications that may be executed by the user devices. The server (s) may also include database servers, including, but not limited to, commercially available from Oracle, Microsoft, Sybase, and IBM.

The environment may include various data stores and other memory and storage media as discussed above. These may be in various locations, such as on a storage medium that is local to one or more of the computers (and / or resides thereon) and remotely from some or all of the computers via the network. In certain sets of embodiments, the information may reside in a storage-area network (SAN) familiar to a typical technician. Similarly, any necessary files for performing functions pertaining to computers, servers, or other network devices may be stored locally and / or remotely, where appropriate. When the system includes computerized devices, each such device may include hardware components that can be electrically coupled through a bus, such components being, for example, at least one central processing unit (CPU) , At least one input device (e.g., a mouse, keyboard, controller, touch screen, or keypad), and at least one output device (e.g., a display device, printer, or speaker). Such systems may also include solid state storage devices such as disk drives, optical storage devices, and random access memory (RAM) or read-only memory (ROM), as well as one or more storage devices such as removable media devices, memory cards, flash cards, Devices.

Such devices may also include a computer readable storage medium reader, a communication device (e.g., a modem, a network card (wireless or wired), an infrared communication device, etc.) and a working memory as described above . The computer readable storage medium readable medium may be a computer readable storage medium for temporarily, permanently and / or more permanently including, storing, transmitting and retrieving computer readable information, as well as remote, local, fixed and / Lt; RTI ID = 0.0 &gt; and / or &lt; / RTI &gt; receive storage media. The system and various devices also typically include a plurality of software applications, modules, services, or applications located in at least one working memory device, including an operating system and application programs (e.g., a client application or a web browser) And other factors. It will be appreciated that alternative embodiments may have many variations from the ones described above. For example, customized hardware may also be used and / or certain elements may be implemented in hardware, software (including portable software such as applets), or both. In addition, a connection to other computing devices such as network input / output devices may be utilized.

A storage medium and a computer-readable medium for containing a code or a portion of a code may be RAM, ROM, EEPROM, flash memory or other memory technology that may be used to store the desired information and may be accessed by the system device, Readable instructions, data structures, program modules or other data, including read only memory (ROM), digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, Any suitable medium known or used in the art including, but not limited to, volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as, . &Lt; / RTI &gt; Based on the teachings and teachings provided herein, one of ordinary skill in the art will appreciate other ways and / or methods of implementing various embodiments.

Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention as set forth in the claims.

Various embodiments of the present disclosure may be described on the basis of the following items.

A1. A computer-implemented method for configuring indexes on searchable data in a networked environment,

Receiving data to be indexed comprising a plurality of data fields;

Determining a name associated with each data field in the plurality of data fields;

Determining a field type of a plurality of field types associated with each data field in a plurality of data fields, the plurality of field types including at least one of an integer type, a literal type, or a text type;

Determining whether to enable one or more search options for each of the data fields, wherein the one or more search options include an option to include each data field in a search index to be generated, an option to calculate a facet count for each data field Or an option to provide one or more values associated with the respective data field;

Creating a search index configuration for the data based at least in part upon determining a field type of each data field included in the data and enabling one or more search options; And

Generating a search index for the data based at least in part on the search index configuration for the data.

A2. In Item A1, the data is in a first format,

Converting the data from the first format to a second format compatible with the search index; And

Further comprising storing the converted data in a second format in one or more storage allocations.

A3. In item A2, the step of converting the data from the first format to the second format

Comparing the first format to the second format; And

Modifying at least one data field associated with the first format to correspond to at least one data field associated with the second format.

A4. Item A2, wherein the second format is SDF (Search Data Format).

A5. As a computer implemented method,

Receiving data to be indexed;

Determining the type of data field associated with the data, the type of data field being determined from a plurality of data field types;

Determining one or more search options to be enabled in association with a data field associated with the data;

Creating an index configuration for the data based at least in part on the type of data field and one or more search options; And

And creating a search index for the data based at least in part on the index configuration for the data.

A6. In item A5, the data is in the first format,

Converting the data from the first format to a second format compatible with the search index; And

And storing the converted data in the second format in one or more storage quotas.

A7. In item A6, the step of converting the data from the first format to the second format

Comparing the first format to the second format; And

And modifying at least one data tag associated with the first format to correspond to at least one data tag associated with the second format.

A8. In item A5, the plurality of data field types comprises at least one of an integer type, a text type, a literal type, a geolocation type, a time type, a date type, or a floating point number type. Computer implemented method.

A9. In item A8, the step of determining the type of the data field

Determining that the value associated with the data field has positive integer characters greater than a specified integer amount threshold; And

And determining that the type of the data field is an integer type.

A10. In item A8, the step of determining the type of the data field

The value associated with the data field has a positive amount of alphanumeric characters in excess of the text amount threshold; the number of distinct values associated with the data field is greater than the specified text distinct amount threshold; The percentage of values is greater than a specified text distinct percentage threshold, or the length of values is greater than a specified text length threshold; And

And determining that the type of the data field is a text type.

A11. In item A8, the step of determining the type of the data field

The value associated with the data field has positive alphanumeric characters that are greater than the specified lower literal amount threshold but less than the specified upper literal amount threshold, the number of distinct values associated with the data field is greater than or equal to the specified literal Determining a percentage of individual values to be less than a specified literal individual percent threshold or a length of values less than a specified literal length threshold; And

And determining that the type of the data field is a literal type.

A12. In item A5, one or more search options may include an option to include a data field in the search index to be generated, an option to calculate a facet count for the data field, or a value associated with the data field in response to the associated search query And providing at least one of the options.

A13. In item A12, the step of determining one or more search options to be enabled includes determining to enable an option to include a data field in the search index to be generated, the decision being that the data field is included in the search index Receiving a signal contained in a data field indicating that the type of the data field is a literal type, or determining that the type of the data field is a literal type.

A14. In item A12, the step of determining one or more search options to be enabled includes determining to enable an option to calculate a facet count for a data field, the determination comprising determining a plurality of values And determining that the quantity for the distribution is less than a specified facet count upper threshold.

A15. In item A12, the step of determining one or more search options to be enabled comprises determining to enable an option to provide a value associated with a data field in response to an associated search query, Determining that a value contained in the data field, which indicates that a value should be provided, is received, or that the length of a value associated with the data field is less than a specified return value length threshold, Way.

A16. The computer-implemented method of item A5, further comprising providing at least one of data, an index configuration, or an index to be searchable by one or more search queries.

A17. The computer-implemented method of item A5, further comprising modifying the index configuration based at least in part on one or more user-initiated inputs.

A18. As a system,

At least one communication transceiver;

One or more storage quotas;

At least one processor; And

A memory device including instructions that, when executed by the at least one processor, cause the system to:

Receive data to be indexed via at least one communication transceiver;

Determine the type of data field associated with the data, the type of the data field being determined from a plurality of data field types;

Determine one or more search options to be enabled in association with a data field associated with the data;

Generate an index configuration for the data based at least in part on the type of data field and one or more search options;

And to generate a search index for the data based at least in part on the index configuration for the data.

A19. In item A18, the data is in a first format, and the instructions cause the system to additionally

To convert the data from the first format to a second format compatible with the search index;

And store the converted data in the second format in one or more storage quotas.

A20. In item A19, the instructions cause the system to compare the first format and the second format and modify at least one data field associated with the first format to correspond to at least one data field associated with the second format, And to convert the data from the first format to the second format.

A21. Wherein the instructions, when executed by a processor of the computing system, cause the computing system to: &lt; RTI ID = 0.0 &gt;

Receive data to be indexed;

Determine the type of data field associated with the data, the type of the data field being determined from a plurality of data field types;

Determine one or more search options to be enabled in association with a data field associated with the data;

Generate an index configuration for the data based at least in part on the type of data field and one or more search options;

Based on at least in part on the index configuration for the data, a search index for the data.

A22. In item A21, the plurality of data field types comprises at least one of an integer type, a text type, a literal type, a geographic location type, a time type, a date type, or a floating point number type.

A23. In item A22, the instructions cause the computing system to cause the computing system to have a value associated with the data field greater than a specified lower literal threshold value, but having a positive alphabet character less than the specified upper literal threshold value, Determining the type of the data field to be a literal type based on determining at least one of: less than a threshold, a percentage of individual values less than a specified literal individual percent threshold, or a length of values less than a specified literal length threshold , Non-transitory computer readable storage medium.

A24. In item A21, one or more search options may include an option to include a data field in the search index to be generated, an option to calculate a facet count for the data field, or an option to provide a value associated with the data field in response to the relevant search query &Lt; / RTI &gt; wherein the computer program product comprises at least one computer program product.

A25. In item A24, determining one or more search options to be enabled includes determining to enable an option to calculate a facet count for a data field, the determination being such that the amount of at least one value associated with the data field is Determining that the specified facet count is below a specified facet count lower threshold and below a specified facet count upper threshold.

B1. A computer implemented method for dynamic search partitioning,

Monitoring at least one of the amount of data being stored or the rate at which data is being manipulated in a first partition provided by the network service, the first partition being included in a storage quota provided by the network service;

Detecting that at least one of an amount and a rate exceeds a specified amount threshold or a specified rate threshold, respectively;

In response to the detecting, at least one of performing, incrementing, or adding performing at least one of increasing the size of the first partition or adding at least the second partition to the storage quota is stored At least partially based on the amount of data or the rate at which the data is being manipulated;

Increasing or adding the network traffic associated with the storage quota to a cache provided by the network service; And

Increasing or adding a network traffic to a storage quota when it is completed to perform at least one of the following:

B2. Item B1, comprising: monitoring a search index for a storage quota;

Detecting that the size of the search index exceeds a specified index size threshold; And

Updating the search index for the storage quota to reflect at least one of increasing or adding with respect to the storage quota.

B3. In item B1, if the size of the first partition is less than the maximum partition size threshold, increasing the size of the first partition is performed, and if the size of the first partition is at the maximum partition size threshold, Is performed.

B4. As a computer implemented method,

Monitoring data usage in a storage quota in a networked environment, the storage quota having a plurality of partitions including at least one partition;

Determining if data usage at at least one partition included in the storage quota exceeds a specified threshold;

Modifying at least one of a size of at least one partition or a number of partitions included in a storage quota;

Sending network traffic associated with the storage quota from a portion of a storage quota associated with modifying at least one of a size or a number to another; And

Sending as part of a storage quota associated with modifying network traffic when the modification is complete.

B5. Item B4, comprising: detecting that the size of a search index for a storage quota exceeds a specified index size threshold; And

Further comprising updating the search index for the storage quota based on modifying at least one of the size of the at least one partition or the number of partitions included in the storage quota.

B6. In item B5, updating the search index comprises rebuilding the search index for the storage quota to reflect modification of at least one of the size of the at least one partition or the number of partitions included in the storage quota Computer-implemented method.

B7. In item B4, the data usage comprises at least one of the amount of data being stored in the storage quota or the rate at which the data is being manipulated in the storage quota.

B8. In item B7, the specified threshold includes at least one of a specified positive threshold or a specified rate threshold, and the amount of data being stored exceeds a specified positive threshold or the rate at which data is being manipulated exceeds a specified rate threshold Wherein when at least one of the at least one of the at least one of the at least one of the at least two of the at least one of the at least two of the at least one of the at least one of the plurality of devices occurs.

B9. In item B8, the specified threshold is computed based at least in part on information about historical data usage.

B10. Item B4, comprising: determining that the amount of network traffic sent to the storage quota is greater than a specified traffic threshold; And

Further comprising modifying the storage quota based on the amount of network traffic.

B11. The computer-implemented method of item B10, wherein the network traffic includes search query traffic for retrieving data stored in a storage quota.

B12. In item B10, modifying the storage quota based on the amount of network traffic may include modifying the size of at least one partition, modifying the number of partitions, or at least one partition included in the number of partitions Replacing at least one partition having different specifications with at least one partition having different specifications.

B13. In item B12, the different specifications comprise at least one of different CPU capabilities, different RAM capacities, different hard disk space capacities, or different bandwidth capacities.

B14. In item B4, modifying at least one of the size of at least one partition or the number of partitions includes increasing at least one of the size of at least one partition or the number of partitions, Is performed to increase the size of at least one partition, and if the size of the at least one partition is at a maximum partition size threshold, increasing the number of partitions is performed.

B15. In item B4, modifying at least one of the size of at least one partition or the number of partitions includes reducing at least one of the size of at least one partition or the number of partitions, wherein the number of partitions is two Wherein reducing the number of partitions is performed, and if the number of partitions is one partition, reducing the size of at least one partition is performed.

B16. In item B4, the method further comprises determining a CPU usage of the storage quota, and the step of modifying at least one of the size or the number is based on at least one of a data usage in the storage quota or a determined CPU usage in the storage quota , A computer implemented method.

B17. The computer-implemented method of item B4, further comprising modifying the configuration of the storage quota based on at least one of a configuration associated with data usage or a user-initiated input.

B18. The computer-implemented method of item B4, further comprising determining when to perform modification of at least one of a size or a number based on resources available to the storage quota.

B19. As a system,

A storage quota having a plurality of partitions including at least one partition;

At least one processor; And

A memory device including instructions that, when executed by the at least one processor, cause the system to:

Monitor data usage in storage quotas;

Determine if the data usage at the at least one partition included in the storage quota exceeds a specified threshold;

Modify at least one of a size of at least one partition or a number of partitions included in a storage quota;

Sending network traffic associated with storage quota from a portion of a storage quota associated with modifying at least one of a size or a number to another;

A system that, when the modification is complete, sends it as part of the storage quota associated with modifying network traffic.

B20. In item B19, when network traffic is being sent from a portion of the storage quota elsewhere while modifying at least one of the size or the number, and when modifying at least one of the size or the number is completed, Further comprising: at least one load balancer configured to facilitate sending the load balancer to the load balancer.

B21. In item B20, the at least one load balancer is configured to send network traffic over a number of partitions included in the storage quota.

B22. Item B19, further comprising at least one monitor module configured to facilitate monitoring data usage in the storage quota and determining whether data usage in the at least one partition included in the storage quota exceeds a specified threshold Including the system.

B23. Wherein the instructions, when executed by a processor of the computing system, cause the computing system to: &lt; RTI ID = 0.0 &gt;

Monitor data usage in the storage quota in a networked environment; store quota has a plurality of partitions including at least one partition;

Determine if the data usage at the at least one partition included in the storage quota exceeds a specified threshold;

Modify at least one of a size of at least one partition or a number of partitions included in a storage quota;

Sending network traffic associated with storage quota from a portion of a storage quota associated with modifying at least one of a size or a number to another;

Wherein the network traffic is sent as part of a storage quota associated with modifying network traffic when the modification is complete.

B24. In item B23, the instructions cause the computing system to additionally detect that the size of the search index for the storage quota exceeds a specified index size threshold; To update a search index for a storage quota based on modifying at least one of the size of the at least one partition or the number of partitions included in the storage quota.

B25. Wherein, in item B24, updating the search index comprises rebuilding the search index for the storage quota to reflect modification of at least one of the size of the at least one partition or the number of partitions included in the storage quota. Non-volatile computer readable storage medium.

Claims (25)

A computer implemented method for dynamic search partitioning,
Monitoring at least one of the amount of data being stored or the rate at which data is manipulated on each first partition of two or more sets of partitions provided by the network service; Wherein the plurality of partitions are included in a storage allocation provided by the network service and each set of partitions is associated with a different account;
Determining that the at least one of the amount or the rate exceeds a specified amount threshold or a specified rate threshold, respectively;
Determining that network traffic associated with the storage quota corresponds to a first type;
Wherein the increase is based on the network traffic corresponding to the first type and the increase is based on the amount of data being stored or the rate at which data is being manipulated At least partially based;
Directing the network traffic during the increase to a cache provided by the network service; And
When the step of performing the increment is completed, sending the network traffic to the storage quota
/ RTI &gt; The method according to claim 1,
Monitoring a search index for the storage quota;
Detecting that the size of the search index exceeds a specified index size threshold; And
Updating the search index for the storage quota to reflect the increase in relation to the storage quota
Lt; / RTI &gt; The method according to claim 1,
In response to determining that the at least one of the amount or the rate exceeds a specified amount threshold or a specified rate threshold, respectively, when the size of the first partition reaches a maximum partition size threshold, Performing additions to the set of partitions of the partition
Lt; / RTI &gt; As a computer implemented method,
Monitoring data usage in a storage allocation in a networked environment, the storage quota having a plurality of sets of partitions, each set of partitions being associated with a different account and comprising at least two partitions, ;
Determining if the data usage in at least one partition of the set of partitions included in the storage quota exceeds a specified threshold;
Determining that network traffic associated with the storage quota corresponds to a first type;
Modifying the size of the at least one partition based on the network traffic corresponding to the first type;
Sending the network traffic from a portion of the storage quota associated with the modification to another; And
Sending the network traffic to the portion of the storage quota associated with the modification when the modification is complete
/ RTI &gt; 5. The method of claim 4, further comprising: detecting that the size of the search index for the storage quota exceeds a specified index size threshold; And
Further comprising updating the search index for the storage quota based on modifying the size of the at least one partition. 6. The computer-implemented method of claim 5, wherein updating the search index comprises rebuilding the search index for the storage quota to reflect the modification of the size of the at least one partition. 5. The computer-implemented method of claim 4, wherein the data usage comprises at least one of an amount of data being stored in the storage quota or a rate at which data is being manipulated in the storage quota. 8. The method of claim 7, wherein the designated threshold comprises at least one of a specified positive threshold or a specified rate threshold, and wherein the amount of data being stored exceeds the specified positive threshold, And when the at least one of exceeding the specified rate threshold occurs, the data usage exceeds the specified threshold. 9. The computer-implemented method of claim 8, wherein the specified threshold is computed based at least in part on information about historical data usage. 5. The method of claim 4, further comprising: determining that the amount of network traffic sent to the storage quota is greater than a specified traffic threshold; And
And modifying the storage quota based on the amount of network traffic. 11. The computer-implemented method of claim 10, wherein the network traffic comprises search query traffic for retrieving data stored in the storage quota. 11. The method of claim 10, wherein modifying the storage quota based on the amount of network traffic comprises modifying the size of the at least one partition, modifying the number of partitions, And replacing the partition of the computer with at least one partition having different specifications. 13. The computer-implemented method of claim 12, wherein the different specifications include at least one of different CPU capabilities, different RAM capacities, different hard disk space capacities, or different bandwidth capacities. 5. The method of claim 4, wherein modifying the size of the at least one partition comprises increasing the size of the at least one partition if the size of the at least one partition is less than a maximum partition size threshold , A computer implemented method. 5. The method of claim 4, wherein modifying the size of the at least one partition comprises reducing the size of the at least one partition, wherein the computer implemented method further comprises: Decreasing the number of partitions in the set of partitions if the number of partitions is greater than two partitions. 5. The method of claim 4, further comprising determining a CPU usage of the storage quota, wherein modifying the size is based on at least one of the data usage in the storage quota or the determined CPU usage in the storage quota Computer-implemented method. 5. The computer-implemented method of claim 4, further comprising modifying the configuration of the storage quota based on at least one of a configuration associated with the data usage or a user-initiated input. 5. The computer-implemented method of claim 4, further comprising: determining when to modify the size based on resources available to the storage quota. As a system,
A storage quota with a plurality of sets of partitions, each set of partitions being associated with a different account and comprising at least two partitions;
At least one processor; And
A memory device
Lt; / RTI &gt;
Wherein the instructions, when executed by the at least one processor,
Monitor data usage in the storage quota;
Determine if the data usage at at least one of the sets of partitions included in the storage quota exceeds a specified threshold;
Determine that network traffic associated with the storage quota corresponds to a first type;
Modify the size of the at least one partition based on the network traffic corresponding to the first type;
Send the network traffic from a portion of the storage quota associated with the modification to another;
And when the modification is complete, sending the network traffic to the portion of the storage quota associated with the modification. 20. The method of claim 19,
Wherein the network traffic is sent from the portion of the storage quota elsewhere while modifying the size, and to facilitate sending the network traffic to the portion of the storage quota when modifying the size is completed Lt; / RTI &gt; further comprising at least one load balancer configured. 21. The method of claim 20,
Wherein the at least one load balancer is configured to send the network traffic over a number of sets of partitions contained in the storage quota. 20. The method of claim 19,
Further comprising at least one monitor module configured to facilitate monitoring the data usage in the storage quota and determining whether the data usage in the at least one partition exceeds a specified threshold. 29. A non-transitory computer readable storage medium having stored thereon instructions for identifying elements, said instructions, when executed by a processor of a computing system, cause the computing system to:
Monitor data usage in a storage quota in a networked environment, the storage quota having a plurality of sets of partitions, each set of partitions being associated with a different account and comprising at least two partitions;
Determine if the data usage at at least one of the sets of partitions included in the storage quota exceeds a specified threshold;
Determine that network traffic associated with the storage quota corresponds to a first type;
Modify the size of the at least one partition included in the storage quota based on the network traffic corresponding to the first type;
Send the network traffic from a portion of the storage quota associated with the modification to another;
And when the modification is complete, sending the network traffic to the portion of the storage quota associated with the modification. 24. The computer-readable medium of claim 23, wherein the instructions further cause the computing system to detect that the size of the search index for the storage quota exceeds a specified index size threshold, and to modify the size of the at least one partition To update the search index for the storage quota. 25. The computer readable medium of claim 24, wherein updating the search index comprises rebuilding the search index for the storage quota to reflect a modification of the size of the at least one partition. Possible storage medium.

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