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kandi X-RAY | writing Summary
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of writing
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writing Examples and Code Snippets
@Bean
@ServiceActivator(inputChannel = "fileChannel")
public MessageHandler fileWritingMessageHandler() {
FileWritingMessageHandler handler = new FileWritingMessageHandler(new File(OUTPUT_DIR));
handler.setFileExistsMode(FileE
Community Discussions
Trending Discussions on writing
QUESTION
I am writing my project and wondered. When I read literature or watch videos, I see that this is bad practice. Why? Is this bad for the system?
What is the difference between this
...ANSWER
Answered 2021-Jun-16 at 00:17You have to initialize all instance properties somehow. And you have to do it right up front, either in the declaration line or in your init
method.
But what if you don't actually have the initial value until later, like in viewDidLoad
? Then it is silly to supply a real heavyweight value only to replace it later:
QUESTION
I understand that after calling fork() the child process inherits the per-process file descriptor table of its parent (pointing to the same system-wide open file tables). Hence, when opening a file in a parent process and then calling fork(), both the child and parent can write to that file without overwriting one another's output (due to a shared offset in the open-file table entry).
However, suppose that, we call open() on some file after a fork (in both the parent and the child). Will this create a separate entries in the system-wide open file table, with a separate set of offsets and read-write permission flags for the child (despite the fact that it's technically the same file)? I've tried looking this up and I don't seem to be able to find a clear answer.
I'm asking this mainly since I was playing around with writing to files, and it seems like only one the outputs of the parent and child ends up in the file in the aforementioned situation. This seemed to imply that there are separate entries in the open file table for the two separate open calls, and hence separate offsets, so the slower process overwrites the output of the other process.
To illustrate this, consider the following code:
...ANSWER
Answered 2021-May-03 at 20:22There is a difference between a file and a file descriptor (FD).
All processes share the same files. They don't necessarily have access to the same files, and a file is not its name, either; two different processes which open the same name might not actually open the same file, for example if the first file were renamed or unlinked and a new file were associated with the name. But if they do open the same file, it's necessarily shared, and changes will be mutually visible.
But a file descriptor is not a file. It refers to a file (not a filename, see above), but it also contains other information, including a file position used for and updated by calls to read
and write
. (You can use "positioned" read and write, pread
and pwrite
, if you don't want to use the position in the FD.) File descriptors are shared between parent and child processes, and so the file position in the FD is also shared.
Another thing stored in the file descriptor (in the kernel, where user processes can't get at it) is the list of permitted actions (on Unix, read, write, and/or execute, and possibly others). Permissions are stored in the file directory, not in the file itself, and the requested permissions are copied into the file descriptor when the file is opened (if the permissions are available.) It's possible for a child process to have a different user or group than the parent, particularly if the parent is started with augmented permissions but drops them before spawning the child. A file descriptor for a file opened in this manner still has the same permissions uf it is shared with a child, even if the child would itself be able to open the file.
QUESTION
Currently I have 3 tables like below
Master
ID_NUMBER ZIPCODE 1 12341 2 12342 3 12343 4 12344Table1
ID_NUMBER CITYNAME COUNTYNAME 1 NEW YORK QUEENS 3 DETROIT SUFFOLKTable2
ID_NUMBER CITYNAME COUNTYNAME 2 ATLANTA ROCKLAND 4 BOSTON WINCHESTERMy desired output is like below. I want to filter based on the zipcode from master table
ID_NUMBER ZIPCODE CITYNAME COUNTYNAME 2 12342 ATLANTA ROCKLANDHow would i go about writing a query for this? Below is what i have tried but it's giving me null values if the ID_NUMBER is not found on that particular table.
...ANSWER
Answered 2021-Jun-15 at 22:37Use COALESCE()
:
QUESTION
I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).
...ANSWER
Answered 2021-Jun-15 at 19:45To avoid the page from crashing, add the user-agent
header to the headers=
parameter in requests.get()
, otherwise, the page thinks that your a bot and will block you.
QUESTION
I'm writing a Firebase function (Gist) which
Queries a realtime database ref (events) in the following fashion:
await admin.database().ref('/events_geo').once('value').then(snapshots => {
Iterates through all the events
snapshots.forEach(snapshot => {
Events are filtered by a criteria for further processing
Several queries are fired off towards realtime DB to get details related to the event
await database().ref("/ratings").orderByChild('fk_event').equalTo(snapshot.key).once('value').then(snapshots => {
Data is prepared for SendGrid and the processing is finished
All of the data processing works perfectly fine but I can't get the outer await (point 1 in my list) to wait for the inner awaits (queries towards realtime DB) and thus when SendGrid should be called the data is empty. The data arrives a little while later. Example output from Firebase function logs can be seen below:
10:54:12.642 AM Function execution started
10:54:13.945 AM There are no emails to be sent in afterEventHostMailGoodRating
10:54:14.048 AM There are no emails to be sent in afterEventHostMailBadRating
10:54:14.052 AM Function execution took 1412 ms, finished with status: 'ok'
10:54:14.148 AM
Super hyggelig aften :)
super oplevelse, ... long string generated
Gist showing the function in question
I'm probably mixing up my async/awaits because of the awaits inside the await. But I don't see how else the code could be written without splitting it out into many atomic pieces but that would still require stitching a bunch of awaits together and make it harder to read.
So, two questions in total. Can this code work and what would be the ideal way to handle this pattern of making further processing on top of data fetched from Realtime DB?
Best regards, Simon
...ANSWER
Answered 2021-Jun-15 at 11:20Your problem is that you use async
in a foreEach
loop here:
QUESTION
Given MySQL tables something like this1:
...ANSWER
Answered 2021-Jun-15 at 13:49If there is a one-to-one mapping, you can join
back using the type column:
QUESTION
How can one check if an integer is equal to another in a 2D array?
...ANSWER
Answered 2021-Jun-15 at 18:23Just to address your attempt, the correct syntax for that would be
if (a == b || a == c || a == d || a == e || a == f || a == g || a == h || a == i) ...
.
But depending on your use case, it's probably advisable to loop over the array instead.
QUESTION
This is pretty straight forward but after much Googling and experimenting, I cannot find the answer. I will use this as an example and then I can apply it to other scripts I am writing. When I run this command
...ANSWER
Answered 2021-Jun-15 at 18:34The Unicode output of WMIC encoded with UTF-16 LE with BOM (byte order mark) can be filtered with two FOR loops to get just the wanted data written into an ASCII encoded text file.
QUESTION
I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.
First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?
Usage
I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..
We can assume an average of 50k forms per gym
Options
First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.
Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.
Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.
Is there another option? Which one of the three is better?
Edit: I'm assuming another option would be SimpleDB?
...ANSWER
Answered 2021-May-21 at 20:26For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:
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.
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