bds | Blockchain data parsing and persisting results | Blockchain library
kandi X-RAY | bds Summary
kandi X-RAY | bds Summary
JD Cloud Blockchain Data Service (BDS) is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bds
bds Key Features
bds Examples and Code Snippets
public static void main(String[] args) {
int n = Integer.parseInt(args[0]); // number of possible bds
int trials = Integer.parseInt(args[1]); // number of trials to do
int[] number_Trials = new int[2 + (n * n)]; // array for n
Community Discussions
Trending Discussions on bds
QUESTION
The content in the column appears as follows $1,521+ 2 bds. I want to extract 1521 and put it in a new column. I know this can be done in alteryx using regex can I do it R?
...ANSWER
Answered 2021-Jun-12 at 17:31For example:
QUESTION
I have a general question regarding the height of a GridTile Bar.
I currently have the GridTile display like this:
My Objective is to have it like this:
When I add the SizedBox to leave a space between price and Address, the address gets cut off the second line.
Any Ideas on how to move it up.
Here is my code of the Grid Tile:
...ANSWER
Answered 2021-May-05 at 18:50Put GridTileBar widget in a Container widget and give it the height that you want. Here's an example code:
QUESTION
Consider the function:
...ANSWER
Answered 2021-Apr-09 at 19:30The optimization result represented as a OptimizeResult object. Important attributes are: x the solution array, success a Boolean flag indicating if the optimizer exited successfully and message which describes the cause of the termination.
QUESTION
I'm trying to use some modules from pyModeS
in columns of a pandas data frame.
The data frame in question is this one:
...ANSWER
Answered 2021-Mar-17 at 12:24Use custom function, unfortunately performance depends of pms
module processing:
QUESTION
I am trying to extract data from Bloomberg PRTU, at a specific point in time.
The following works for the current portfolio:
...ANSWER
Answered 2021-Mar-15 at 17:48Figured out an answer using the following syntax:
QUESTION
translateY doesn't work when added from jQuery .css() function,
Scale and Opacity work fine, but translateY doesn't!
...ANSWER
Answered 2021-Jan-18 at 14:20It seems that you should only change bds = $("body").scrollTop();
as this:
QUESTION
I am assigning colors manually like below. But ggplot only assigns colors to A and B and not other values. Also I want NA in the data to be colored black.
I am manually defining color for each value and then passing it to scale_fill_manual to reflect on the plot
Here is my data
ANSWER
Answered 2021-Jan-08 at 14:59You can pass a named vector to scale_fill_manual
:
QUESTION
I am facing some hard times, Need quick help. It would be great if someone could assist me. Thanks a lot in advance:)
I have 2 tables. 1st table: daily_customer_snapshot: the daily snapshot of the customer which looks something as shown below.
c_id date state location b1 2020-12-01 Active OOW b1 2020-12-02 Active OOW b1 2020-12-03 Active OOW b1 2020-12-04 Active OOW b1 2020-12-05 Active OOW b3 2020-12-06 Active OOW b3 2020-12-07 Active OOW b3 2020-12-08 Active OOW b1 2020-12-09 Decay IW b2 2020-12-15 Active OOW2nd table: customer_date_series: contains the date series from the day user became our customer. Ex: refer image 2: user b1 became our customer on '2020-12-01' and user b3 became our customer on '2020-12-06' and b2 became our customer on '2020-12-15'. I have generated the date series with customer_id to count at any given date how many customers we had.
c_id date b1 2020-12-01 b1 2020-12-02 b1 2020-12-03 b1 2020-12-04 b1 2020-12-05 b1 2020-12-06 b1 2020-12-07 b1 2020-12-08 b1 2020-12-09 b1 2020-12-10 b1 2020-12-11 b1 2020-12-12 b1 2020-12-13 b1 2020-12-14 b1 2020-12-15 b1 2020-12-16 b3 2020-12-06 b3 2020-12-07 b3 2020-12-08 b3 2020-12-09 b3 2020-12-10 b3 2020-12-11 b3 2020-12-12 b3 2020-12-13 b3 2020-12-14 b3 2020-12-15 b3 2020-12-16 b2 2020-12-15 b2 2020-12-16I left joined table1 (customer_date_series) with table2 (daily_customer_snapshot) to get the overview of the customer behavior at any given date. I got the results as displayed in image 3.
Query to Join:
...ANSWER
Answered 2020-Dec-17 at 14:49If you want to use both tables, then a lateral join does what you want:
QUESTION
I'm trying to run this query, but it tells me this error:
...42P18: could not determine data type of parameter $12
ANSWER
Answered 2020-Dec-07 at 16:18Try to separate filtering. Such parameters is bad for LINQ Translation and performance. I hope it will solve your problem.
QUESTION
This might looks stupid, but i'm lost. I want to Map through countries and regions array. I have a Countries Array
that also includes Region's Array
. I can access the Countries Array, but when i try to access the Regions Array
i returned from the Countries Array
, it returns undefined. Here is a minimal example.
Full code on CodeSandBox
...ANSWER
Answered 2020-Nov-19 at 15:26you are returing an array in the map method. so the result is an array of arrays.
you need to flatten
your result. an easy alternative would be using reduce
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bds
Set the path of project : $GOPATH/src/github.com/jdcloud-bds/bds/
Inputgo build -v github.com/jdcloud-bds/bds/cmd/bds-splitter,compile to get executable file bds-splitter
Build new configuration file splitter.conf, see /config/splitter_example.conf configuration file template
Run program ./bds-splitter -c splitter.conf
Unzip the confluent package and run Confluent REST Proxy.
message.max.bytes=1048576000
max.request.size = 1048576000
buffer.memory = 1048576000
send.buffer.bytes = 1048576000
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