I am stuck as in how to identify the different connections(flows) in trace file.
The following is the format in which the trace file is being created
event
time
Source node
Destination node
Packet type
Packet size
flags
fid
Source address
Dest. address
Seq. number
Packet id
If you take a look at the frame format of a trace file, the 8th column is the flow id which you can extract using an awkfile.
Read more on awk file and how you can isolate or count sent and received packets along with flow id. Once you have that just divide the two.
Related
I have a disk image. I'm able to see partition start and end values with gparted or another tools. However, I want to calculate them manually. I inserted an image , which showing my disk image partition start and end values. Also, I inserted $MFT file with link. As you see in the picture, my starter point for partition table 2 is : 7968240. How can I determine this number with real calculation ? I tried to dived this value with sector size which is 512. However, results are not fit. I'll appriciate for a formula for it. Start and End Points of Partitions.
$MFT File : https://file.io/r7sy2A7itdur
How can I determine this number with real calculation ?
The information about how a hard disk has been partitioned is stored in its first sector (that is, the first sector of the first track on the first disk surface). The first sector is the master boot record (MBR) of the disk; this is the sector that the BIOS reads in and starts when the machine is first booted.
For the current partition system (gpt) you can get more information here. The MFT is only a part on the NTFS in question, which is calculated via GPT or MBR.
I'll get a list of coupons by mail. That needs to be stored somewhere somehow (bigquery?) where I can request and send it to the user. The user should only be able to get 1 unique code, that was not used beforehand.
I need the ability to get a code and write, that it was used, so the next request gets the next code...
I know it is a completely vague question but I'm not sure how to implement that, anyone has any ideas?
thanks in advance
Thr can be multiples solution for same requirement, one of them is given below :-
Step 1. Try to get coupons over a file (CSV, JSON, and etc) as per your preference/requirement.
Step 2. Load Source file to GCS (storage).
Step 3. Write a Dataflow code which read data from GCS (file) an load data to a different Bigquery table (tentative name: New_data). Sample code.
Step 4. Create a Dataflow code to read data from Bigquery table New_data and compare it with History_data and identify new coupons and write data to a file on GCS or Bigquery table. Sample code.
Step 5. Schedule entire process over an orchestrator/Cloud scheduler/Cron tab job.
Step 6. Once you have data you can send it to consumers through any communication channel.
when i ingest 100 KB data file in event hub, when i read data from event hub using streaming analytic output file size is three times bigger than input file.
Please confirm
I had a same issue and as was investigating that, the input count (by byte and size) was multiplied by partition factors.
the partitions were created and mapped as inputs (we have only 2 inputs), but when you will see your job diagram - click ... and select expand partitions.
Per attached picture our IoT hub input is expanded to 20 partitions.
I have a big file (say 100K records) with header and trailer. Trailer contains information regarding number of records in this file. is there any way for WSO2 ESB to load this entire file for processing (say reading each row and perform some validation and than sending validated data to external end point) and validate number of records is matching against data present in trailer ?
I have created a webtest which is a series of web service requests. My data source contains a list of mobile numbers and these mobile numbers can be of two types - A and B. The problem is that data source contains the mix of A and B. When the test runs, it loads one mobile number from the data source (XML file). I want to determine when the test is running as to what is the type of the mobile number (A or B)! Because depending on that I will be sending appropriate message to the web server.
It is however possible for me to create a text file which contains key value pairs (mobile number, type) before running the tests. However adding a plugin which reads the whole file and then finds the mobile number type will be too slow. Is it possible to have these mappings stored in memory during the entire duration of the test? So that I can just query them?
Thanks
Amare
Instead of using the XML file as the data source, use your new text file as the data source.
For example, if your data source is DataSource1 and your file is numbers.csv, and you have columns mobile number and type then in your test you can refer to the following context parameters:
DataSource1.numbers#csv.mobile#number
DataSource1.numbers#csv.type
Use a pair of String Comparison Conditional Rules to decide which request to execute depending on the value of DataSource1.numbers#csv.type.