Examples of using Structured query in English and their translations into Korean
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Structured Query Language.
IndexedDB does not use Structured Query Language(SQL).
Structured Query Language(SQL).
In a particular embodiment, the identified structured query may be displayed in the drop-down menu 300.
SQL(Structured Query language) is currently the most popular database in the world.
Generating one or more search results corresponding to the selected structured query.
Structured Query Language(A specialized programming language for sending queries to databases.).
In addition, the updated scripts 228 and the report data 306 may be stored in an SQL(Structured Query Language) database 324.
SQL(Structured Query Language) is a database management language often used in practice, and is one of the basic skills of a developer.
If you use aTask Server to collect reports, the reporting data is stored in the Task Server's SQL(Structured Query Language) database.
For example, a structured query for the“send a message” domain may indicate that the intended recipient is“Bob,” and the user may have multiple contacts named“Bob.”.
Each type has their own query languages,Object Query Language(OQL, v.2) and Structured Query Language(SQL).
For example, a structured query for the“send a message” domain may indicate that the intended recipient is“Bob,” and the user may have multiple contacts named“Bob.”.
Social-networking system 160 may then generate aset of structured queries, where each structured query corresponds to one of the possible matching social-graph elements.
Transact-SQL is an extension of the Structured Query Language(SQL) defined by the International Organization for Standardization(ISO) and the American National Standards Institute(ANSI).
For example, if the user requested a sushi restaurant“near me,” thenatural language processor 332 may populate a{location} parameter in the structured query with GPS coordinates from the user device 104.
Once the workflow processor 336 completes the structured query for the actionable intent, the workflow processor 336 proceeds to perform the ultimate task associated with the actionable intent.
For example, in some implementations, if the user requested a sushi restaurant“near me,”the natural language processor 332 populates a{location} parameter in the structured query with GPS coordinates from the user device 104.
Many databases are designed to obey commands written in the Structured Query Language(SQL), and many websites that take information from users send that data to SQL databases.
For example, in some examples, if the user requested a sushi restaurant“near me,” the naturallanguage processing module 332 can populate a{location} parameter in the structured query with GPS coordinates from the user device 104.
Upon selecting a particular identified structured query, the user's mobile client device 130 may call or instruct the social networking system 160 to execute the selected structured query. .
In a particular embodiment, as the user provides additional characters to thesearch query field 350, the client-side typed head process evaluates the additional text to update the structured query displayed to the user in the drop-down menu 300.
Once task flow processing module 736 has completed the structured query for an actionable intent, task flow processing module 736 can proceed to perform the ultimate task associated with the actionable intent.
In some examples, once natural language processing module 732 identifies an actionable intent(or domain)based on the user request, natural language processing module 732 can generate a structured query to represent the identified actionable intent.
As described above, in order to complete a structured query, the task flow processor 336 may need to initiate additional dialogue with the user in order to obtain additional information, and/or disambiguate potentially ambiguous utterances.
Based on this user input, the web application sends commands to the databases, most often using Structured Query Language(SQL), the command language of the majority of modern relational databases.
As described above, in order to complete a structured query, the task flow processor 336 may need to initiate additional dialogue with the user in order to obtain additional information, and/or disambiguate potentially ambiguous utterances.
As an example and not by way of limitation, social-networking system 160 may generate a firstcard 450 corresponding to the results of the typeahead process and second card 450 corresponding to the query“Friends Nearby,” and a third card 450 corresponding to the results of the structured query“Friends Nearby who went to Stanford.”.
The task flow processor 336 is configured to receive the structured query from the natural language processor 332, complete the structured query, if necessary, and perform the actions required to“complete” the user's ultimate request.
For example, using a structured query such as:{restaurant reservation, restaurant=ABC Café, date=Mar. 12, 2012, time=7 pm, party size=5}, the task flow processor 336 may perform the steps of:(1) logging onto a server of the ABC Café or a restaurant reservation system such as OPENTABLE®,(2) entering the date, time, and party size information in a form on the website,(3) submitting the form, and(4) making a calendar entry for the reservation in the user's calendar.