bb | A tool to simulate many of the typical scenarios of cloud-native microservices | Microservice library
kandi X-RAY | bb Summary
kandi X-RAY | bb Summary
Building Blocks or bb is a tool that can simulate many of the typical scenarios of a cloud-native Service-Oriented Architecture based on microservices.
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Top functions reviewed by kandi - BETA
- newService creates a new service .
- NewHTTPEgress creates a new egress strategy .
- NewGrpcClientsIfConfigured returns the gRPC clients for the given service
- buildClients builds a slice of clients based on the configuration .
- NewGrpcServerIfConfigured returns a gRPC server based on the given config .
- buildServers builds the list of servers
- Handle implements the Handler interface .
- NewHTTPServerIfConfigured returns a http server based on config .
- NewBroadcastChannel creates a new broadcast channel strategy .
- _TheService_TheFunction_Handler is the callback for the OnService method
bb Key Features
bb Examples and Code Snippets
Community Discussions
Trending Discussions on bb
QUESTION
I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.
Let's say I have these instructions:
...ANSWER
Answered 2021-Jun-15 at 16:34It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.
QUESTION
I know there are some other questions (with answers) to this topic. But no of these was helpful for me.
I have a postfix server (postfix 3.4.14 on debian 10) with following configuration (only the interesting section):
...ANSWER
Answered 2021-Jun-15 at 08:30Here I'm wondering about the line [in s_client]
New, TLSv1/SSLv3, Cipher is ECDHE-RSA-AES256-GCM-SHA384
You're apparently using OpenSSL 1.0.2, where that's a basically useless relic. Back in the days when OpenSSL supported SSLv2 (mostly until 2010, although almost no one used it much after 2000), the ciphersuite values used for SSLv3 and up (including all TLS, but before 2014 OpenSSL didn't implement higher than TLS1.0) were structured differently than those used for SSLv2, so it was important to qualify the ciphersuite by the 'universe' it existed in. It has almost nothing to do with the protocol version actually used, which appears later in the session-param decode:
QUESTION
I have two arrays like
...ANSWER
Answered 2021-Jun-15 at 07:07You can use find()
to get the username from arr2
QUESTION
I'm currently sorting the map by value, but I couldn't think on how I would have it sorted by key for the cases that I have the same value.
Currently it works like this:
...ANSWER
Answered 2021-Jun-14 at 21:54You could check in your Comparator if the values are the same and if so compare the keys. Here is your adapted method:
QUESTION
I would like to replace a part of a string, however, I want the match to be exact. In the case bellow I want ABC to be replaced with mytag and not A to be replaced with mytag etc.
...ANSWER
Answered 2021-Feb-04 at 08:56Here the pattern is having length greater than the vector. So, it will replicate the length of the pattern. Instead, we could create a single string pattern by concatenating with |
in str_c
and use that to replace so that it replace wherever any of those patterns are found
QUESTION
I have the following data frame:
...ANSWER
Answered 2021-Jun-13 at 15:50library(tidyverse)
df %>%
mutate(flag = pmap_lgl(., ~"aa" %in% str_to_lower(c(...))))
QUESTION
I have this data. I need help here because If you see the timestamp there is discontinuity and I want to fill it with previous row.
The whole dataset is at 30 min interval, So If you look at the row 3 and 4 there is discontinuity, as you see there is an increase in one hour and then in next row 2 hours. So I want to fill here the missing rows with previous row values by just changing the current timestamp to timestamp+30.
Input Data:
Timestamp eqmt_id brand_brew_code level volume 28-03-2021 09:00 1 AB 12.99 1 28-03-2021 09:30 2 BB 123.43 2 28-03-2021 10:00 1 AB 13.34 3 28-03-2021 11:00 1 AB 213.34 1 28-03-2021 14:00 1 AB 12. 322 1Expected Outcome:
Timestamp eqmt_id brand_brew_code level volume 28-03-2021 09:00 1 AB 12.99 1 28-03-2021 09:30 2 BB 123.43 2 28-03-2021 10:00 1 AB 13.34 3 28-03-2021 10:30 1 AB 13.34 3 28-03-2021 11:00 1 AB 213.34 1 28-03-2021 11:30 1 AB 213.34 1 28-03-2021 12:00 1 AB 213.34 1 28-03-2021 12:30 1 AB 213.34 1 28-03-2021 13:00 1 AB 213.34 1 28-03-2021 13:30 1 AB 213.34 1 28-03-2021 14:00 1 AB 12. 322 1I have tried this code but outcome is also matching, but getting stopped in between. Don't know the issue.
...ANSWER
Answered 2021-Jun-14 at 06:38IIUC, you can try:
- Convert
Timestamp
todatetime
. - Set
Timestamp
asindex
. - Use
asfreq('30T')
to fill themissing time
.ffill
the missing value withdowncast = 'infer'
to retain thedtype
. - Use
reset_index()
to get the same structure.
QUESTION
i'm new to R and shiny and also new to this forum.
I need to build a shiny app but struggle to connect the inputs with my imported data.
This is what i have so far:
...ANSWER
Answered 2021-Jun-13 at 21:19Tidyverse solution: You use your inputs to filter the dataset, right before plotting it. Therefore you need to get the data in long format with tidyr::pivot_longer()
before.
Afterwards you can filter here:
QUESTION
I have a JSON that contains two arrays that I need to convert to key / value pairs. These keys on the array are dynamic and can change.
For that I'm trying to create a Jolt spec to convert my input data into the format below.
JSON Input:
...ANSWER
Answered 2021-Jun-13 at 16:29[
{
"operation": "shift",
"spec": {
"data": {
"*": {
"property1": "[&1].property1",
"property2": "[&1].property2",
"values": {
"*": {
"@": "[&3].@(3,keys[&1])"
}
}
}
}
}
}
]
QUESTION
I'm trying to insert a new column on a pandas data frame with custom values based on a condition. I have written the code as below but it does not work. Am i missing anything here? I dont want to define a list and then insert it because i may not be processing all the data from the dataset. Any easy way to acheive this?
My Original dataset :
...ANSWER
Answered 2021-Jun-13 at 13:27IIUC, you can try map
:
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