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π¦ Bin For Facebook Ads 40$ (work in ig nd twitter too)
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> how use bin : https://t.me/UnderCodeTesting/3768
> cc generators 2020 : https://t.me/UnderCodeTesting/34114
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> how use bin : https://t.me/UnderCodeTesting/3768
> cc generators 2020 : https://t.me/UnderCodeTesting/34114
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π¦ Comparison of SQL Server and Oracle to prevent data locking
t.me/UndercodeTesting
1) Database parallel access, that is, two Or two or more users access the same data at the same time, which is also the biggest problem faced by the database engine how to design and implement a moderate response.
2) A well-designed, high-performance database engine can easily serve thousands of users at the same time. The database system with "lack of confidence" will greatly reduce its performance as more users access the system at the same time. In the worst case, the system may even crash.
3) Of course, parallel access is the most important issue for any database solution. Various database systems have proposed various solutions in order to solve the problem of parallel access. SQL Server and Oracle DBMS also use different parallel processing methods. What is the real difference between them?
π¦ Comparison of SQL Server and Oracle to prevent data locking
t.me/UndercodeTesting
1) Database parallel access, that is, two Or two or more users access the same data at the same time, which is also the biggest problem faced by the database engine how to design and implement a moderate response.
2) A well-designed, high-performance database engine can easily serve thousands of users at the same time. The database system with "lack of confidence" will greatly reduce its performance as more users access the system at the same time. In the worst case, the system may even crash.
3) Of course, parallel access is the most important issue for any database solution. Various database systems have proposed various solutions in order to solve the problem of parallel access. SQL Server and Oracle DBMS also use different parallel processing methods. What is the real difference between them?
π¦
1) Parallel access problems
Parallel access problems arise there are several situations. In the simplest case, more than one user may query the same data at the same time. In this case, the operation goal of the database is simple: provide users with fast data access as much as possible. This is not a problem for our common databases: SQL Server and Oracle both use a multi-threaded mechanism, they can of course handle multiple requests at once.
2) SQL Server Methods
Now assume that some people might start modify the data stored on SQL Server, so this piece of data is immediately lock the database. The data lock operation blocks any other connection that accesses the data-even the query operation will not let go. Therefore, this locked data can only accept other access operations after the transaction is submitted or rolled back.
The following uses the pubs sample database that comes with SQL Server as a simple demonstration. Open two windows in Query Analyzer. Execute the following SQL operation statement in the first window to update the price of a book in the pubs database:
use pubs
go
begin tran
update titles
set price = price * 1.05
where
title_id = 'BU2075'
3) Because the commit statement is not executed in the code, Therefore, the data change operation has not actually been completed. Next, execute the following statement in another window to query the titles data table:
select title_id, title, price
from titles
order by title_id.
4) You get nothing. The small globe icon at the bottom of the window will keep turning. Although I only updated one row in the previous operation, the execution object of the select statement happens to contain the row whose data is being modified. Therefore, the above operation will not return any data unless you go back to the first window to submit the transaction or roll back.
5) SQL Server's data locking scheme may reduce the performance and efficiency of the system. The longer the data is locked, or the larger the amount of data locked, the more likely other data access users will have to wait for the execution of their query statements. Therefore, from the programmer's point of view, the transaction code should be designed to be as small and fast as possible when programming SQL Server.
6) The SQL Server solution sounds simple, but in fact, many measures have been taken behind the scenes to provide adequate system performance. For example, if you are modifying multiple rows of data at the same time, SQL Server will increase the data lock range to the page level or even lock the entire data table, so that you do not have to track and maintain individual data locks for each record.
written by undercode
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
1) Parallel access problems
Parallel access problems arise there are several situations. In the simplest case, more than one user may query the same data at the same time. In this case, the operation goal of the database is simple: provide users with fast data access as much as possible. This is not a problem for our common databases: SQL Server and Oracle both use a multi-threaded mechanism, they can of course handle multiple requests at once.
2) SQL Server Methods
Now assume that some people might start modify the data stored on SQL Server, so this piece of data is immediately lock the database. The data lock operation blocks any other connection that accesses the data-even the query operation will not let go. Therefore, this locked data can only accept other access operations after the transaction is submitted or rolled back.
The following uses the pubs sample database that comes with SQL Server as a simple demonstration. Open two windows in Query Analyzer. Execute the following SQL operation statement in the first window to update the price of a book in the pubs database:
use pubs
go
begin tran
update titles
set price = price * 1.05
where
title_id = 'BU2075'
3) Because the commit statement is not executed in the code, Therefore, the data change operation has not actually been completed. Next, execute the following statement in another window to query the titles data table:
select title_id, title, price
from titles
order by title_id.
4) You get nothing. The small globe icon at the bottom of the window will keep turning. Although I only updated one row in the previous operation, the execution object of the select statement happens to contain the row whose data is being modified. Therefore, the above operation will not return any data unless you go back to the first window to submit the transaction or roll back.
5) SQL Server's data locking scheme may reduce the performance and efficiency of the system. The longer the data is locked, or the larger the amount of data locked, the more likely other data access users will have to wait for the execution of their query statements. Therefore, from the programmer's point of view, the transaction code should be designed to be as small and fast as possible when programming SQL Server.
6) The SQL Server solution sounds simple, but in fact, many measures have been taken behind the scenes to provide adequate system performance. For example, if you are modifying multiple rows of data at the same time, SQL Server will increase the data lock range to the page level or even lock the entire data table, so that you do not have to track and maintain individual data locks for each record.
written by undercode
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦ Oracle Method
1) Here we look at how Oracle database is to implement similar operations. First, I open an instance of SQLPlus and execute the following query statement (this example can be found in the example in Oracle 9i). This instance is called the query instance:
select first_name, last_name, salary
from hr.employees
where
department_id = 20; The
code returns two rows of data, as shown below:
2) Then, open another instance of SQLPlus-update the instance to execute the following command:
1 SQL> update hr.employees
2 set salary = salary * 1.05
3 where
4 department_id = 20
5 / After the
code is executed, the reply message says that the two lines of data have been updated.
>Note that in the above code, there is code that type "begin tran" as in the SQL Server example. Oracle's SQLPlus implicitly enables transactions (you can also mimic the behavior of SQL Server and set "autocommit to on" to automatically submit transactions). Next, we execute the same select statement as the query instance in the SQLPlus update instance.
3) The results clearly show that the salary of bboth Michael and Pat has increased, but at this time I have not submitted a data change transaction.
Now go to the first SQLPlus query instance and re-run the query
π¦Oracle does not require the user to wait for the operation to be submitted in the data update instance. It directly returns the query information of Michael and Pat, but actually returns the data before the data update begins. Data view!
5) At this time, people who are familiar with SQL Server may say that setting (NOLOCK) in the query can not achieve the same effect? However, for SQL Server, data cannot be obtained before the data image. Specifying (NOLOCK) actually just got the data that was not submitted. Oracle's approach provides a consistent view of the data. All information is transaction-oriented and based on stored data snapshots.
6) If you submit an update transaction in the update instance of SQLPlus, you can see the salary data change in the query instance. If you rerun the previous query statement in the query instance, Oracle will return the new salary value.
π¦ Storing data snapshot
That for a long, displayed to the user in a previous version of the data at the same time, Oracle is how to allow other users to modify data in it? In fact, as soon as a user initiates a transaction to modify data, the previous data image will be written to a special storage area. This "front image" is used to provide a consistent view of the database to any user who queries the data. In this way, when other users are modifying the data, we can see the salary data that has not changed in the above test.
written by undercode
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦ Oracle Method
1) Here we look at how Oracle database is to implement similar operations. First, I open an instance of SQLPlus and execute the following query statement (this example can be found in the example in Oracle 9i). This instance is called the query instance:
select first_name, last_name, salary
from hr.employees
where
department_id = 20; The
code returns two rows of data, as shown below:
2) Then, open another instance of SQLPlus-update the instance to execute the following command:
1 SQL> update hr.employees
2 set salary = salary * 1.05
3 where
4 department_id = 20
5 / After the
code is executed, the reply message says that the two lines of data have been updated.
>Note that in the above code, there is code that type "begin tran" as in the SQL Server example. Oracle's SQLPlus implicitly enables transactions (you can also mimic the behavior of SQL Server and set "autocommit to on" to automatically submit transactions). Next, we execute the same select statement as the query instance in the SQLPlus update instance.
3) The results clearly show that the salary of bboth Michael and Pat has increased, but at this time I have not submitted a data change transaction.
Now go to the first SQLPlus query instance and re-run the query
π¦Oracle does not require the user to wait for the operation to be submitted in the data update instance. It directly returns the query information of Michael and Pat, but actually returns the data before the data update begins. Data view!
5) At this time, people who are familiar with SQL Server may say that setting (NOLOCK) in the query can not achieve the same effect? However, for SQL Server, data cannot be obtained before the data image. Specifying (NOLOCK) actually just got the data that was not submitted. Oracle's approach provides a consistent view of the data. All information is transaction-oriented and based on stored data snapshots.
6) If you submit an update transaction in the update instance of SQLPlus, you can see the salary data change in the query instance. If you rerun the previous query statement in the query instance, Oracle will return the new salary value.
π¦ Storing data snapshot
That for a long, displayed to the user in a previous version of the data at the same time, Oracle is how to allow other users to modify data in it? In fact, as soon as a user initiates a transaction to modify data, the previous data image will be written to a special storage area. This "front image" is used to provide a consistent view of the database to any user who queries the data. In this way, when other users are modifying the data, we can see the salary data that has not changed in the above test.
written by undercode
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦WIFI HACKING
A Router WiFi key recovery/cracking tool with a twist.
t.me/UndercodeTesting
π¦πβπππΈπππππΈπππβ & βπβ :
1) git clone https://github.com/k0r0pt/Project-Tauro.git
2) git submodule update --init --recursive - This will update the build scripts in the repo.
3) gradle build - This will build and install the module in your local Maven repository.
π¦ Installing Tauro
When all the dependencies (as well as Tauro itself) have been built, the distribution package will be under build/distributions in the directory where you cloned Project-Tauro (this repository). There will be a zip file and a tar file. Extract either one of those to a location of your choice. For ease, let's say you extracted the distribution package to ~/.h4X0r/tools. Then follow these steps:
1) cd ~/.h4X0r/tools - Navigate to the extract location.
2) cd Project-Tauro-<version-number> - The version number will vary based on when you have cloned the repo.
3) cd bin - This is where the binaries are.
4) ./Project-Tauro - There's a bat file for Windows and a shell file for *nixes and *nuxes.
pwd (for Linux/Unix/Mac) or echo %cd% (for Windows) - Note the output and copy it.
5) export PATH=$PATH:<paste> (for Linux/Unix/Mac) or set PATH=%PATH%;<paste> (for Windows) - <paste> is where you paste what you copied in the last step.
π¦Database setup :
1) Make this directory structure in your home folder: .h4X0r/k0r0pt/db. In *nix, *nux, your home folder will be at /home/<your-username>. In MacOS, your home folder will be at /Users/<your-username>. In Windows, your home folder will be at C:\Users\<your-username>.
2) For Windows prior to Windows 7, your home folder will be at C:\Documents and Settings\<your-username>.
3) Copy WirelessStations.sqlite over to the directory you made in the step earlier .h4X0r/k0r0pt/db.
4) Rejoice, for you're all set to go.
THAT ALL !
β TESTED BY UNDERCODE
> kali
> parrot
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦WIFI HACKING
A Router WiFi key recovery/cracking tool with a twist.
t.me/UndercodeTesting
π¦πβπππΈπππππΈπππβ & βπβ :
1) git clone https://github.com/k0r0pt/Project-Tauro.git
2) git submodule update --init --recursive - This will update the build scripts in the repo.
3) gradle build - This will build and install the module in your local Maven repository.
π¦ Installing Tauro
When all the dependencies (as well as Tauro itself) have been built, the distribution package will be under build/distributions in the directory where you cloned Project-Tauro (this repository). There will be a zip file and a tar file. Extract either one of those to a location of your choice. For ease, let's say you extracted the distribution package to ~/.h4X0r/tools. Then follow these steps:
1) cd ~/.h4X0r/tools - Navigate to the extract location.
2) cd Project-Tauro-<version-number> - The version number will vary based on when you have cloned the repo.
3) cd bin - This is where the binaries are.
4) ./Project-Tauro - There's a bat file for Windows and a shell file for *nixes and *nuxes.
pwd (for Linux/Unix/Mac) or echo %cd% (for Windows) - Note the output and copy it.
5) export PATH=$PATH:<paste> (for Linux/Unix/Mac) or set PATH=%PATH%;<paste> (for Windows) - <paste> is where you paste what you copied in the last step.
π¦Database setup :
1) Make this directory structure in your home folder: .h4X0r/k0r0pt/db. In *nix, *nux, your home folder will be at /home/<your-username>. In MacOS, your home folder will be at /Users/<your-username>. In Windows, your home folder will be at C:\Users\<your-username>.
2) For Windows prior to Windows 7, your home folder will be at C:\Documents and Settings\<your-username>.
3) Copy WirelessStations.sqlite over to the directory you made in the step earlier .h4X0r/k0r0pt/db.
4) Rejoice, for you're all set to go.
THAT ALL !
β TESTED BY UNDERCODE
> kali
> parrot
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦FRESH ELITE PROXIES 1 H
fbc.om/undercodeTesting
144.76.214.154 1080 1 hour ago
3125 ms 63% (53) de Germany Elite -
163.172.60.116 8118 1 hour ago
669 ms 8% (66) fr France Elite -
161.117.56.255 8000 1 hour ago
1329 ms 8% (82) sg Singapore Elite -
90.189.209.127 80 1 hour ago
3381 ms 20% (50) ru Russia Elite -
103.209.64.19 6666 1 hour ago
4641 ms 9% (74) in India - Valsad Elite -
122.226.57.70 8888 1 hour ago
1234 ms 57% (51) cn China Elite -
123.163.96.183 9999 1 hour ago
0 ms 0% (68) cn China - Beijing Elite -
139.255.42.156 8888 1 hour ago
3784 ms 32% (58) id Indonesia - Jakarta Elite -
34.87.96.183 80 1 hour ago
2562 ms 27% (26) us United States Elite -
39.105.28.28 8118 1 hour ago
1296 ms 3% (82) cn China - Hangzhou Elite -
218.203.132.117 808 1 hour ago
3134 ms 12% (84) cn China Elite -
39.137.107.98 8080 1 hour ago
2173 ms 10% (94) cn China Elite -
45.236.91.20 8880 1 hour ago
1005 ms 91% (41) eg Egypt Elite -
85.172.104.162 8000 1 hour ago
876 ms 68% (49) ru Russia - Gelendzhik Elite -
180.252.181.2 80 1 hour ago
1023 ms 100% (37) id Indonesia - Samarinda Elite -
183.223.241.242 80 1 hour ago
3319 ms 31% (53) cn China Elite -
188.40.183.187 1080 1 hour ago
2350 ms 45% (58) de Germany Elite -
192.117.146.110 80 1 hour ago
2986 ms 27% (64) il Israel - Haifa Elite -
188.40.183.185 1080 1 hour ago
2522 ms 28% (69) de Germany Elite -
114.99.54.65 8118 1 hour ago
1151 ms 16% (70) cn China - Anqing Elite -
153.121.36.194 8118 1 hour ago
1353 ms 9% (80) jp Japan - Tokyo Elite -
157.245.62.184 3000 1 hour ago
1485 ms 31% (68) sg Singapore Elite -
91.205.174.26 80 1 hour ago
736 ms 99% (51) de Germany - Munich Elite -
85.90.215.111 3128 1 hour ago
3692 ms 22% (83) ua Ukraine - Kharkiv Elite -
103.11.23.0 8085 1 hour ago
2803 ms 18% (70) id Indonesia Elite -
35.220.131.188 80 1 hour ago
925 ms 63% (53) us United States Elite -
218.58.193.98 8060 1 hour ago
1710 ms 19% (77) cn China - Linyi Elite -
34.92.94.5 8123 1 hour ago
2377 ms 19% (66) us United States Elite -
39.137.69.10 8080 1 hour ago
2964 ms 12% (52) cn China Elite -
46.235.53.26 3128 1 hour ago
1587 ms 59% (56) ru Russia - Moscow Elite -
52.161.188.149 80 1 hour ago
188 ms 100% (52) us United States Elite -
52.161.188.148 80 1 hour ago
176 ms 100% (44) us United States Elite -
47.75.71.222 3000 1 hour ago
2036 ms 49% (43) us United States Elite -
18.163.28.22 1080 1 hour ago
1276 ms 51% (57) hk Hong Kong Elite -
125.59.223.27 8380 1 hour ago
890 ms 33% (71) hk Hong Kong Elite -
@undercodeTesting
β β β ο½ππ»βΊπ«Δπ¬πβ β β β
π¦FRESH ELITE PROXIES 1 H
fbc.om/undercodeTesting
144.76.214.154 1080 1 hour ago
3125 ms 63% (53) de Germany Elite -
163.172.60.116 8118 1 hour ago
669 ms 8% (66) fr France Elite -
161.117.56.255 8000 1 hour ago
1329 ms 8% (82) sg Singapore Elite -
90.189.209.127 80 1 hour ago
3381 ms 20% (50) ru Russia Elite -
103.209.64.19 6666 1 hour ago
4641 ms 9% (74) in India - Valsad Elite -
122.226.57.70 8888 1 hour ago
1234 ms 57% (51) cn China Elite -
123.163.96.183 9999 1 hour ago
0 ms 0% (68) cn China - Beijing Elite -
139.255.42.156 8888 1 hour ago
3784 ms 32% (58) id Indonesia - Jakarta Elite -
34.87.96.183 80 1 hour ago
2562 ms 27% (26) us United States Elite -
39.105.28.28 8118 1 hour ago
1296 ms 3% (82) cn China - Hangzhou Elite -
218.203.132.117 808 1 hour ago
3134 ms 12% (84) cn China Elite -
39.137.107.98 8080 1 hour ago
2173 ms 10% (94) cn China Elite -
45.236.91.20 8880 1 hour ago
1005 ms 91% (41) eg Egypt Elite -
85.172.104.162 8000 1 hour ago
876 ms 68% (49) ru Russia - Gelendzhik Elite -
180.252.181.2 80 1 hour ago
1023 ms 100% (37) id Indonesia - Samarinda Elite -
183.223.241.242 80 1 hour ago
3319 ms 31% (53) cn China Elite -
188.40.183.187 1080 1 hour ago
2350 ms 45% (58) de Germany Elite -
192.117.146.110 80 1 hour ago
2986 ms 27% (64) il Israel - Haifa Elite -
188.40.183.185 1080 1 hour ago
2522 ms 28% (69) de Germany Elite -
114.99.54.65 8118 1 hour ago
1151 ms 16% (70) cn China - Anqing Elite -
153.121.36.194 8118 1 hour ago
1353 ms 9% (80) jp Japan - Tokyo Elite -
157.245.62.184 3000 1 hour ago
1485 ms 31% (68) sg Singapore Elite -
91.205.174.26 80 1 hour ago
736 ms 99% (51) de Germany - Munich Elite -
85.90.215.111 3128 1 hour ago
3692 ms 22% (83) ua Ukraine - Kharkiv Elite -
103.11.23.0 8085 1 hour ago
2803 ms 18% (70) id Indonesia Elite -
35.220.131.188 80 1 hour ago
925 ms 63% (53) us United States Elite -
218.58.193.98 8060 1 hour ago
1710 ms 19% (77) cn China - Linyi Elite -
34.92.94.5 8123 1 hour ago
2377 ms 19% (66) us United States Elite -
39.137.69.10 8080 1 hour ago
2964 ms 12% (52) cn China Elite -
46.235.53.26 3128 1 hour ago
1587 ms 59% (56) ru Russia - Moscow Elite -
52.161.188.149 80 1 hour ago
188 ms 100% (52) us United States Elite -
52.161.188.148 80 1 hour ago
176 ms 100% (44) us United States Elite -
47.75.71.222 3000 1 hour ago
2036 ms 49% (43) us United States Elite -
18.163.28.22 1080 1 hour ago
1276 ms 51% (57) hk Hong Kong Elite -
125.59.223.27 8380 1 hour ago
890 ms 33% (71) hk Hong Kong Elite -
@undercodeTesting
β β β ο½ππ»βΊπ«Δπ¬πβ β β β