hector | a high level client for cassandra | Search Engine library
kandi X-RAY | hector Summary
kandi X-RAY | hector Summary
Hector is a high level Java client for Apache Cassandra. Apache Cassandra is a highly available column oriented database: Hector is the greatest warrior in the greek mythology, Troy's builder and brother of Cassandra Hector is currently in use on a number of production systems some of which have node counts into the hundreds. Issues generally are fixed as quickly as possible and releases done frequently.
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Top functions reviewed by kandi - BETA
- Open a SASL thrift connection
- Open a Kerberos Transport
- Closes this client
- Returns true if the transport is open
- Split the given column family
- Copy a segment from the specified segment buffer
- Execute the READRows
- Removes the key column
- Opens a thrift connection
- Authenticate client to use Kerberos service
- Create a new HttpClient for the given host
- Prepare row keys for parallelism
- Executes the query
- Get multiple values
- Scan package
- Compares this lock with another object
- Returns a string representation of the HKeyRange
- Serializes an object to a byte buffer
- Copy the source row
- Converts a UUID into a ByteBuffer
- Converts a UUID to a ByteBuffer
- Deserialize an object
- Sets the component at the given index
- Opens a new thrift connection
- Selects the pool from the pool
- Returns a string representation of the configuration
hector Key Features
hector Examples and Code Snippets
Community Discussions
Trending Discussions on hector
QUESTION
I have a problem showing a list in kivy. I don't know how why don't show this two entries. I think is something about how i pass my data, do I have to specify the columns or how to display the information. Am I passing wrong the data needed in recycleView?
My code.
My interchange.kv
...ANSWER
Answered 2021-Jun-01 at 19:35Several problems with your code:
- You define an
RV
class, but you never use it - The
data
that you define in the__init__()
method of theRV
class is a dictionary, but the data is expected to be a list of dictionaries. See documentation. - The keys of the data dictionaries must be properties of the
viewclass
, but your keys are peoples names. - You have not specified a
viewclass
for theRV
.
To fix this change the BoxLayout
in your kv
to RV
, and add a viewclass
:
QUESTION
I have the following dataframe df1
ANSWER
Answered 2021-May-30 at 11:38merge
with pd.concat
QUESTION
I have a question regarding the creation of multiple dataframes. Below is the initial dataframe.
...ANSWER
Answered 2021-May-19 at 11:50library slider
is helpful in these cases
QUESTION
I would like to display a data from .txt report file using JavaFX. In my code, I'm trying to use Labels and Vbox to display the info in multiple formats in a GUI to scene. However, I'm having terrible outputting my results as GUI instead of the console. I tried to research my issue but I couldn't find the piece of info that I need to solve the problem.
This is the report I need to display as a GUI Application using JavaFX:
This is what my code displays as a GUI:
Here is my source code:
...ANSWER
Answered 2021-May-12 at 00:50I think you could use a combination of TableView
and Pagination
like it is described in this posting: JavaFX TableView Paginator
Here is an example:
App.java:
QUESTION
I'm pretty new working on python and this is my first "big" project. This is what I have worked on for the day. I am trying to work on this project that randomly generates a name when you click on a category and press the generate button. It randomly generates one name but when I press the generate button again it doesn't display another name. That's what I'm trying to figure out. Also if anyone doesn't mind, how can I check a box and generate a name on that category.
Thank you very much
...ANSWER
Answered 2021-May-11 at 12:44Your name choices are more naturally organized as Radiobutton
widgets.
QUESTION
I have a question that sorts data from a car report of txt file.
The question is: How do I listed cars sorted by their MAKE (Ford, Chevy ..etc). They only need the MAKE to be sorted so they can be all FORD cars under each other, then Chevy, DODGE .. so on and so forth like this:
And this is what I have so far:
Here's my source code:
...ANSWER
Answered 2021-Apr-30 at 13:13it's pretty straightforward :
read all element and put them in a list:
QUESTION
I have a Java question that deals with reading the txt file and pulling data from it.
It's a bunch of used cars stored in a txt report file. They have several different lots that they sell from. The lots are identified by the 5 digit zip code followed by a zip code extension at the beginning of each record. They would like a report that lists all cars sold from all lots. This is what I come up with:
They would like the report to list 30 cars per page, on the report. Each page is to have headings and a page number. Like this:
My question is how do I list 30 cars per page instead of all together (Each page 30 cars with headings and page #)?
Here's my source code:
...ANSWER
Answered 2021-Apr-29 at 12:44As I already stated in my comment you'd need to count the cars you've already processed and print new page headers when you've hit a multiple of 30 cars.
First I'd suggest moving your header print statements to a separate method, e.g. printPageHeader(int pageNumber)
. Then change your loop like this:
QUESTION
I have a dataframe that contains a foul made by a player which eventually leads to a shot on target. What I want to do is create a new column that puts either TRUE/FALSE, where TRUE is set, if the foul of a player leads to a successful shot on target by the opponent (thus the opposite team of the player that made a foul). This should happen within 120 seconds (from the time_seconds column). Rows 15 and 16 provide an example:
In row 15 the away-team (i.e. home_team == FALSE) commits a foul,
where in row 16, the home-team (i.e. home_team == TRUE) successfully shoots on target.
The timedifference is time_seconds[16] - time_seconds[15]
, which is approximately 99 seconds.
If this occurs, the new column should put TRUE in row 15.
...ANSWER
Answered 2021-Apr-28 at 13:24Here is a data.table
approach. Probably not the fastest, but it will get the job done.
QUESTION
following are my files for html, .ts and json . As json data was very extensive therefore i have just added a few states and their cities. my 1st dropdown is showing all states. Now I want to match my 1st dropdown's selected value of state with a key "state" in "cities" object in my json file so i can populate 2nd dropdown with cities relevant to that state. and I want to do this in function "getCitiesForSelectedState". please help me find solution for this.
//.ts file
...ANSWER
Answered 2021-Apr-27 at 16:44You can do it with the $event
parameter.
Make sure to compare your values safely.
If your value is not in the right type or has spaces or unwanted chars, this c.state == val
might not work.
You can use the trim
function to compare your value safely:
c.state.trim() == val.trim()
HTML
QUESTION
I am using the MySQL Python connector to manipulate a database, but running into issues when my queries involve the INT database type. When MySQL retrieves an INT column from the database, it seems to convert to a Python int64. This is fine, except it doesn't convert it back into a usable MySql type.
Here's a reduced example:
This is my MySql schema for table 'test', with Id as datatype INT:
My Python code is below. The 2nd execute (an UPDATE query) fails with this exception:
...ANSWER
Answered 2021-Apr-05 at 13:23First off, hat-tip to @NonoLondon for their comments and investigative work.
A pandas Dataframe stores numbers using NumPy types. In this case, the DataFrame constructor was taking a Python 'int' from the MySql return and converting it into a Numpy.int64 object. When this variable was used again by MySql, the connector could not convert the Numpy.int64 back to a straight Python 'int'.
From other SO articles, I discovered the item() method for all Numpy data types, which converts into base Python types. Since all Numpy data types are derived from the base class Numpy.generic, I'm now using the following utility function whenever I extract variables from DataFrames:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hector
You can use hector 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 hector 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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