drowsy | Java library that helps with JDBC-based development | DB Client library
kandi X-RAY | drowsy Summary
kandi X-RAY | drowsy Summary
Easy to use, lightweight java framework, built on top of JDBC that allows you to build high performance DB access for your Java applications, without the typical productivity and reliability penalties of not using an ORM.
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Top functions reviewed by kandi - BETA
- Emits a read operation with the given query
- Convert a row to a bean
- Gets the object type
- Executes a transaction on the specified connection
- Converts a resultSet into a list of bean objects
- Atomically performs a read operation on a given query
- Convert a row to a bean
- Gets the object type
- Executes a transaction on the specified connection
- Converts a resultSet into a list of bean objects
- Convert an array to another
- Return the in clause of the given collection
- Invokes the DrowSyntax Proxy
- Wrap statement
- Add values to the insert using the supplied mapping function
- Builder method for parameters
- Check that two objects are not equal
- Creates a prepared statement
- On connection property change
- Stop this instance
- Invokes a DrowSyntax proxy
- Add a set column
- Adds a set column
drowsy Key Features
drowsy Examples and Code Snippets
jdbc.jdbcUrl=jdbc:postgresql://localhost:5432/MyDB
jdbc.username=me
jdbc.password=hunter2
...
# Whether or not to use Flyway, defaults to false
jdbc.flyway.bypass=false
# From Flyway's Javadoc:
# "Whether to automatically call baseline when migrat
Drowsy drowsy = new Drowsy();
drowsy.start();
... your app doing stuff ...
drowsy.stop();
Query query = SelectBuilder.create("select * from people").build();
List got = drowsy.read(query, LegitPerson.class);
Community Discussions
Trending Discussions on drowsy
QUESTION
I'll confess that I'm not a coder, I've gotten by from what I could glean from your answers to others' questions. Here's my problem. I'm trying to create dropdowns that are grids. I've got it working for the most part, but I really need it to dropdown on click rather than hover. From what I've ready I need to add jquery (?), but I don't know how to do that. My non-profit can't afford to hire someone to fix this right now and I'm hoping one of you might be able to help. Thank you in advance. Here's what I have:
...ANSWER
Answered 2020-Jul-29 at 20:10A little bit of JavaScript (without jQuery) will help here :)
Note that I've also replaced the :hover
CSS bit with .dropdown-content.visible { display: block; }
(and for the sake of a shorter example, elided the actual lists of drugs).
QUESTION
Can someone point me in the right direction to write a test in Postman in order to validate that a certain key or value from the following response is present. The response has a lot of nested objects. Specifically I want to validate the following:
- I want to validate that in the output.treatments there's a key "type" with the value "Diet" present
- and I also want to validate that in the output.treatments.details there's a key "name" with the value "SULFAMETHOXAZOLE/TRIMETHOPRIM"
Thanks!
The API response looks like this:
...ANSWER
Answered 2020-Jul-10 at 15:09Found the solution:
QUESTION
I have a list of dictionaries which looks like below
...ANSWER
Answered 2019-May-11 at 08:57i['meds']
is not a key of description_collapses
. The rules are the value of description_collapsed.get(i["category"])
, so you need to extend that value.
You also had your parentheses wrong.
Note that your final result will be a dictionary, not a list.
QUESTION
I am trying to study the effects of Alcohol and Drugs in car accidents using an Open BigQuery dataset. I have my dataset ready to go and am just refining it further. I want to categorize the string entries in the pandas columns.
The data frame is over 11,000 entries and there are about 44 unique values in each column. However, I just want to categorize only the entries which say 'Alcohol Involvement' and 'Drugs (Illegal)' to 1 and respectively. I want to map any other entry to 0.
I have created a list of all the entries which I don't care about and want to get rid of and they are in a list as follows:
...ANSWER
Answered 2019-Apr-07 at 23:22Say your source column is named Crime
:
QUESTION
I was given a stupid csv with like 20,000 rows of data pertaining to only ~300 cases, so I wanted to try and group things in a way that made more sense, so I now have a text file with 300 cases, a sample of two of them are below:
[{"Treatment": [""], "Year": "2004", "Reason": "Intentional/Suspected Suicide", "CaseNumber": "9999", "OutCome": "Minor effect", "Symptoms": ["Drowsy/lethargy / Related"], "case_drugs": [{"Substance": "RIVOTRIL", "Poisindex_Desc": "BENZODIAZEPINE", "SubstanceFormula_20c": "LIQUID", "SubstanceProductCode": "999", "RouteExp": "INGEST", "SubstanceGeneric_AAPCC_Code": "999"}, {"Substance": "HYDROMORPHONE X 15 SYRINGES 6 MG EA", "Poisindex_Desc": "HYDROMORPHONE", "SubstanceFormula_20c": "LIQUID", "SubstanceProductCode": "9999", "RouteExp": "INGEST", "SubstanceGeneric_AAPCC_Code": "9999"}], "Acuity": "Acute", "AgeGroup": "90-99 yrs", "SEX": "zoidberg"},
{"Treatment": ["Single Dose Activated Charcoal", "IV Fluids"], "Year": "2006", "Reason": "Unintentional/General", "CaseNumber": "8888", "OutCome": "Minimal clinical effects possible", "Symptoms": [""], "case_drugs": [{"Substance": "LOPERAMIDE 2MG X 1/2", "Poisindex_Desc": "LOPERAMIDE", "SubstanceFormula_20c": "SOLID (TABLETS/CAPSULES/CAPLETS)", "SubstanceProductCode": "88", "RouteExp": "INGEST", "SubstanceGeneric_AAPCC_Code": "88"}], "Acuity": "Acute", "AgeGroup": "L5 yrs", "SEX": "F"}]
Something like "Year" only has 1 value for each case. "Symptoms" has a list of values, and "case_drugs" has a list of dicts. This format makes a lot of sense to me since 1 person can have multiple drugs, and each drug has multiple attributes associated with it. I don't really want to flatten the data because something like the drug variable doesn't really have a maximum number of entries, so it's possible that if I have like "drug1, drug2, drug3" then next time I get data I'll have to add a "drug4".
Currently, I can load the file in pandas and analyze most of it. For the list values, I've come across another stack exchange post that suggested I could use this:
df['Symptoms'].apply(lambda x: pd.Series(x).value_counts()).sum()
That works perfectly. I'm sure I can figure out how to do other analysis with a similar method. I still am unsure how I will go about analyzing the case_drugs variable. I can make my own functions to loop through and read the data, but I was wondering if there is existing functionality in pandas that will be able to do this. For example, what if I wanted to count the number of times 'RIVOTRIL' showed up in the "substance" value of "case_drugs" variable?
Or if you think I'd be better off storing the data in a different way, that would be an acceptable answer too!
Thanks
...ANSWER
Answered 2018-Apr-27 at 19:47For the case_drugs
variable, one way to do it is to create another dataframe for it.
QUESTION
I'm currently working on a solution that will allow users to search for a medicine and populate a datatable with the results. The data comes from the Openfda API. This works but unfortunately returns many duplicate rows. While in the process of trying to suppress the duplicate rows I found that the process may be failing due to the fact that it's trying to compare arrays instead of strings. Unfortunately, Openfda sends almost all strings as arrays even if it's not an array. Is there any way to convert the single value arrays to a single value in either the Model or Controller class (preferably but not mandatory) before returning the JSON to the datatable?
Code snippet of raw JSON:
...ANSWER
Answered 2018-Jan-19 at 04:31How about converting the arrays to values when they're being serialized to json:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install drowsy
You can use drowsy like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the drowsy component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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