How to automatically scale mysql for writes?

It is possible to automatically evolve mysql for write request depending on the number of db connections, memory and processor load.

Can anyone offer me third party tools / solution?

Thanks in advance,
Nagaraj

file – sudoedit_enhanced writes POSIX-ly (reading link problem possible?)


During the creation sudoedit_enhanced POSIX (outside of readlink I was pointed out) extract from shell script, I face two challenges:

  1. check if all files exist, it doesn't make sense to create a new file this way

  2. sudoedit does not work with symbolic links, so translate symbolic links into normal file paths

The central part (cut) checking the existence of files and translating symbolic links into normal files follows:


for file in "$@"; do
    if ! ( -f "$file" ); then
        printf '%sn' >&2 "sudoedit_enhanced_run(): This file ('$file') does not exist or it is not a regular file."
        return 1
    fi
    ( -L "$file" ) && file=$(readlink -f "$file")
    set -- "$@" "$file"
    shift
done

It should work, although little testing has been done so far, I'm quite sure there is room for improvement.

Who writes user stories?

In agile design / development, who writes user stories and what is the process? Should UX researchers do their research first to help define better user stories?

In my current project, we have user stories, but UX was not involved in finding users to help define these stories. This took us on ineffective paths with the project. I'm not experienced with the UX strategy, but it seems like a wise approach would be to base the user stories on initial UX research. Yes? No?

formal languages ​​- Prove {| TM M on input 3 at a given time writes the symbol "3" on the third cell of its band} is recursively enumerable but not recursive

We first assume for the $ S_3 $ is decidable and leaves TM $ R $ to be the decision maker of $ S_3 $. With $ R $, we can test whether $ M $ write the symbol $ “ 3 "$ on the third cell in its band at some point. Yes $ R $ indicates that $ M $ do not write $ “ 3 "$ on the third cell, reject because $ big langle M, 3 big rangle notin A_ {TM} $. Yes $ R $ indicated $ M $ write the symbol $ “ 3 "$ on the third cell, we can do the simulation without a loop. So if TM $ R $ exists, we can decide $ A_ {TM} $, but we know that $ A_ {TM} $ is undecidable, by contradiction, we can conclude that $ R $ does not exist. Therefore, $ S_3 $ is undecidable.

assume $ S_3 $ is decidable so that we can get the contradiction by having TM $ R $ decided $ S_3 $and build TM $ M & # 39; $ decide $ A_ {TM} $ as following.

$ M & # 39; $ = $ “ $Entrance $ big langle M, 3 big rangle $:

  1. Run TM $ R $ entrance $ big langle M, 3 big rangle $.
  2. Yes $ R $ rejects $ reject $.
  3. Yes $ R $ accept, simulate $ M $ write the symbol $ “ 3 "$ on the third cell of its strip.
  4. Yes $ M $ has accepted, $ accept $; if $ M $ rejected, $ reject $. "

Clearly, if $ R $ decided $ S_3 $, then $ M & # 39; $ decided $ A_ {TM} $. However, since $ A_ {TM} $ is undecidable, so we know $ R $ does not exist and therefore $ S_3 $ must be undecidable.

nfs – Amazon EFS performance mounted for a k8 cluster of ec2 instances with frequent small writes

What is the performance of a shared mounted EFS if there are multiple ec2 instances with multiple containers all writing to separate files in separate directories? Write performance on a container can be affected by another container write (on the same node or on a different node).

The writes are normally extremely small (~ kbs) and can burst at the ms frequency.

SQL Server – Prevent writes from the primary farm to the DR database after failover?

I have two SharePoint farms, an active farm and a DR farm, using SQL availability groups to synchronize content and some service databases. In case of manual failover, how to prevent the main battery from trying to write anything to the now active databases that are now used by the DR battery?

More details: I have an AOAG with three nodes, nodes A and B are on the main site and are in synchronization mode, node C is on the DR site and is an asynchronous node. The main farm has been configured with the name of the listener, so synchronization failovers work perfectly between synchronization nodes A and B. The DR farm is configured with a local SQL alias on the asynchronous read-only node, so the DR farm will never try to write anything directly to the main site's SQL databases. After a failover, node C becomes read-write and the DR battery is then in read-write mode, which is great. But how do you prevent the main farm from trying to write anything to the now active node C?

cache – Firebird starts backup and forced writes, timestamp update is delayed

We have a Firebird database of almost 200 Gbyte in size, and for performance, we have forced writes. Please do not argue about the risks of forced writes, we are aware of this. This is Firebird 3.0.4 on Windows Server 2016.

For backup, we use alter database begin backup and alter database end backupand copy the main database file using FastCopy. We can see that the delta file is created immediately at runtime alter database begin backup. But the main database file usually gets an updated timestamp some time later, often within a few minutes, but sometimes it takes longer.

I guess this is due to forced writes and the fact that Windows can delay certain writes for an arbitrary amount of time. In other words, I guess the Firebird engine is actually not writing to the main database file after alter database begin backup, but writes made before that may be delayed by Windows for a while, which means that it is actually not safe to start copying the main database file until that Windows has emptied all the entries.

Now my question is, how do you properly manage this to get safe and reliable backups?

Up to now, I have scheduled file copying for up to 3 hours after alter database begin backupand I also included a fictitious transaction right after the alter database begin backup.

But are there better approaches?

I had the idea to use gfix to activate forced writes before executing alter database begin backup (and turn it off later). I assume this will immediately cause the locked state to be emptied to disk, but I also assume that writes made before activating forced writes will always suffer arbitrary delay from Windows write cache . Correct? Where is gfix or is the Firebird engine really capable of forcing the flush of all previous writes that are already in Windows' write cache?

Another idea is to use Sysinternals Sync to clear the Windows write cache for the entire disk. For overall system performance, this would not be an issue, since the backup is scheduled for an hour of light traffic throughout the day.

We could use nbackup instead of FastCopy. Would it help? In other words: would nbackup reads from the main database file see the new cached versions of the copied database pages, or would they see the obsolete versions on disk?

In fact, I don't know whether or not FastCopy sees the new versions still cached, but it fails when it notices that the source file timestamp has been changed since it started copying , so it fails anyway. There is no apparent way to avoid this.

php – A custom array from a query only writes the last line of the query

Indeed, you do not add any elements to the table. You overwrite them:

$modified_result = array();

foreach($queryresult as $result){
    $modified_result('name') = $result->name;
    $modified_result('address') = $result->address;
}

Your loop defines the name and address property of $modified_result array directly, then replacing them for each element in the loop.

You want $modified_result to be a table paintings, which means that for each $result you must add a new array to $modified_result. You can do it with $modified_result():

$modified_result = array();

foreach ( $queryresult as $result ) {
    $modified_result() = array(
        'name'    => $result->name,
        'address' => $result->address,
    );
}

That being said, I don't see any reason why you can't just query the fields you want to start. Then you don't need the loop at all:

$queryresult = $wpdb->get_results( "SELECT name, address FROM ..." );

$datadump = json_encode( $queryresult );
echo file_put_contents( 'my_output.json', $datadump );

database theory – Thomas writes the serialization of rula andview

Our teacher told the class yesterday that the Thomas Write rule guarantees the serialization of sight, but while surfing on this topic today on the Internet, I am unable to find any information on this claim. It is always so $ TRUE? $

What he said was this ->

Timestamp command guarantees serialization of conflicts

Thomas writing rule guarantees serialization of the view

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