My experience says that OpenNLP doesn’t have any inbuilt functionality for converting English sentences to SQL queries. But you can go for developing a dedicated module by efficiently utilizing the existing OpenNLP modules. For example, named entity extraction, chunking, and parsing, etc. using these can help you in succeeding without any hassle. There are many approaches like “Natural Language Interfaces to databases” you can follow to get the answer to your question. But, if you are open to Python, this can be done through it. You can also try to write a new DSL for this.
Generally, a common question answering system like NLIDB has two key components, i.e. the question analysis and the answer retrieval.
When you give input through putting any question or query, few key terms are produced by the question analysis component, question category or class as well as the input question’s structure. While taking out the output of the question during the question analysis of the component as input, the answer retrieval component will first generate a concrete query expression. This will be done in the database query language, just like the SQL query.
Later, the solid SQL query is used for finding an appropriate answer in a particular target database. During this process using the semantic lexicons, like "WordNet" can be beneficial for mapping the extracted key terms like relations, or concepts to the database concepts like columns or even table names.
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To convert English rulings to SQL queries using OpenNLP, you would first need to train a model using a dataset of labeled rulings and SQL queries. Once your model is trained, you can input an English judgment and the model will affair the corresponding SQL query.
Source: SQL Classes in Pune
Dates in SQL can be confusing for beginners since the format of the date in the database must match the date format entered when inserting data. Datetime is often used in place of the date in various situations.
In MySQL RDBMS, the default date functions are:
Sr.No.
Function & Description
1
ADDDATE()
Adds dates
2
ADDTIME()
Adds time
3
CONVERT_TZ()
Converts from one timezone to another
4
CURDATE()
Returns the current date
5
CURRENT_DATE(), CURRENT_DATE
Works the same as CURDATE()
6
CURRENT_TIME(), CURRENT_TIME
Works the same as CURTIME()
7
CURRENT_TIMESTAMP(), CURRENT_TIMESTAMP
Works the same as NOW()
8
CURTIME()
Returns the current time
9
DATE_ADD()
Adds two dates
10
DATE_FORMAT()
Formats date as specified
11
DATE_SUB()
Subtracts two dates
12
DATE()
Extracts the date part of a date or datetime expression
13
DATEDIFF()
Subtracts two dates
14
DAY()
Synonym for DAYOFMONTH()
15
DAYNAME()
Returns the name of the weekday
16
DAYOFMONTH()
Returns the day of the month (1-31)
17
DAYOFWEEK()
Returns the weekday index of the argument
18
DAYOFYEAR()
Returns the day of the year (1-366)
19
EXTRACT
Extracts part of a date
20
FROM_DAYS()
Converts a day number to a date
21
FROM_UNIXTIME()
Formats date as a UNIX timestamp
22
HOUR()
Extracts the hour
23
LAST_DAY
Returns the last day of the month for the argument
24
LOCALTIME(), LOCALTIME
Synonym for NOW()
25
LOCALTIMESTAMP, LOCALTIMESTAMP()
Synonym for NOW()
26
MAKEDATE()
Creates a date from the year and day of year
27
MAKETIME
Returns a time value calculated from the hour, minute and second arguments.
28
MICROSECOND()
Returns the microseconds from argument
29
MINUTE()
Returns the minute from the argument
30
MONTH()
Return the month from the date passed
31
MONTHNAME()
Returns the name of the month
32
NOW()
Returns the current date and time
33
PERIOD_ADD()
Adds a period to a year-month
34
PERIOD_DIFF()
Returns the number of months between periods
35
QUARTER()
Returns the quarter from a date argument