tg US data large batch task batch design guide: splitting, concurrency, notification and failure retry of 100,000-level TG US number data

When an overseas marketing team needs to filter 100,000-level TG US data (such as Telegram activity of US numbers, gender identification), directly submitting a very large list often results in task timeout, contention for system resources, or difficulty in tracing the data results. Reasonable batch design can not only improve screening efficiency, but also reduce risk control risks, ensuring that each batch of tg US data can be efficiently converted into usable marketing leads. This article will provide practical operation guidelines from batch splitting, concurrency control, task notification, failure retry to result merging.

What is tg US data bulk task? Why do you need batch design?

tg US data usually refers to US phone numbers starting with +1 when acquiring overseas customers, and its registration status, activity level, gender and other fields are detected through Telegram screening. This data is commonly used by cross-border e-commerce and independent website promotion teams for targeted delivery or private messaging. However, if you submit 100,000 or even millions of TG US number data at a time, you may face problems such as task timeout, loss of intermediate results, or data format errors, causing the entire batch to fail. Batch design makes the screening process more stable and traceable by splitting large tasks into multiple controllable small tasks.

The core differences between submitting 100,000 items at once vs. submitting in batches

Dimension	Submit 100,000 items at one time	Submit in batches (50,000–100,000 items per batch)
Stability	High risk of single point failure, a bad number format may slow down the entire task	Run independently, failure of one batch will not affect other batches
Concurrency control	Difficult to tune, concentrated system resource consumption	The number of concurrencies can be flexibly adjusted to reduce risk control pressure
Failure handling	Retrying the entire batch is expensive	Only retry the failed batch, saving time and cost
Result traceability	The result file is huge and it is difficult to locate the problem number	Each batch of results is independent, easy to check and merge

Judging from experience, splitting 100,000-level TG US data into batches of 50,000-100,000 records can achieve a better balance between stability and processing speed.

KK-DATA’s single upper limit description for large batch tasks (about 1 million)

The KK-DATA console supports the submission of up to about 1 million numbers in a single task, but for performance reasons, it is a recommended practice to actively split into smaller batches. When a single batch of numbers exceeds 100,000, the system may require longer queuing and processing time, and if an exception occurs (such as a file encoding error), the entire task needs to be resubmitted. Therefore, it is recommended to split millions of data into 10-20 batches, with each batch containing 50,000-100,000 items, to ensure stability and to run tasks in parallel (subject to concurrency restrictions).

How to split 100,000-level TG US data? Recommended batching strategy

There are three specific splitting methods: by number segment, by file size, and by number of tasks. Each method allows each batch of tasks to view the status independently for easy management.

Split by number segment: plan ahead with the global number generation function

Using KK-DATA’s “Global Number Generation” function, you can generate a number list for a specified US number range (for example, +1-213 Los Angeles, +1-646 New York). First generate CSV files of multiple number segments, and upload them separately to submit the screening task. The advantages of this split are:

• Each number segment represents a specific geographical area, and subsequent marketing can adjust the copy accordingly.
• The number density in the number segment is consistent to avoid too many invalid numbers in a certain batch due to random distribution.

Operation steps:

1. Log in to Application Console and enter the “Number Generation” module.
2. Select the country “United States”, enter the target area code (such as 213, 646, 312, etc.), generate a number list for each number segment and export it to CSV.
3. Return to the “Screen ID” page, upload each CSV separately, set the detection type (Telegram activated/active/gender), and submit the task.

Split by file line number/size: control the amount of data in a single task

If there are already millions of tg US data in a large CSV, it is recommended to use Excel or command line tools to split it into multiple small files. For example:

• Split on Linux/Mac using split -l 50000 tg_us_data.csv batch_ command.
• Or open it with Excel, filter the first 50,000 rows and paste them into a new file, and repeat the operation.

It is recommended that a single task should not exceed 100,000. The console supports uploading multiple CSV files at one time. You can drag them all in and submit the tasks one by one, or upload them to “File Management” at once and then create tasks in batches.

How to control concurrency to protect account security?

Submitting too many tasks concurrently may cause Telegram to detect abnormal traffic, thus affecting the accuracy of the screening results (for example, all numbers are marked as invalid). A reasonable concurrency strategy is: run up to 3–5 tasks at the same time.

The KK-DATA console will display the status of each task (queuing, running, completed). You can decide whether to submit a new task based on real-time conditions. For 100,000-level TG US number data, it is divided into 10 batches, each batch contains 50,000 records, and the number of concurrency settings is around 3, which can usually be completed within a few hours.

How to receive notification in time after the task is completed?

Manually refreshing the page to view task status is inefficient and easy to miss. KK-DATA provides Telegram task notification function - after binding the TG account, a message will be automatically pushed when the task is completed, including key information such as task ID, number of valid numbers, and consumption balance.

Steps to bind Telegram notifications

1. Log in to Control Panel and enter “Personal Settings” → “Notification Settings”.
2. Click “Bind Telegram” and the robot will send a verification code.
3. Follow @kkdata_robot and enter the verification code to complete the binding.
4. Every time the task is completed in the future, the robot will automatically send a notification message.

In this way, even if you are dealing with other work, you can know the screening results of a certain batch of TG US data immediately, so that you can immediately move to the next step (such as exporting or resubmitting failed numbers).

How to automatically retry and manually intervene when a task fails?

During the number screening process, some numbers may fail to be detected due to network fluctuations, incorrect number formats, or temporary abnormalities in the Telegram interface. KK-DATA supports viewing failure details on the task details page, and provides the “one-click resubmission of failed numbers” function.

Tip: After each batch ends, export the “failure number” CSV, merge all failure records, and then submit a “failure retry task”. This can avoid repeated operations and only charge the failed numbers (successfully detected numbers will not be billed again).

If a batch fails twice in a row, you can check whether the source of the number is legal (such as whether it contains numbers that do not start with +1, empty number segments, etc.), correct it, and then submit it again.

Merge export and deduplication of multiple batches of results

After multiple batch screenings are completed, how to efficiently integrate them into one final data? KK-DATA has a built-in “data deduplication warehouse”, which can import the results of different batches into the same warehouse, and the system will automatically deduplicate and merge them to avoid repeated exports. You can also merge locally using Excel or Python scripts.

Use deduplication warehouse to avoid duplicate numbers

1. Enter the “Data Deduplication Warehouse” module in the console.
2. Check “Export results” for each batch and select “Import into deduplication warehouse”.
3. After all batches are imported, the warehouse will automatically remove duplicates and generate a deduplicated summary list.

This function is especially suitable for tg US data large batch tasks - there may be number overlaps between multiple batches (for example, different number segments overlap), and the deduplication warehouse can ensure that the final marketing list is not duplicated, saving subsequent contact costs.

Export format selection: CSV/TXT and field filtering

It is recommended to export in CSV format as it contains all available fields: number, Telegram registration status, activity (last online time), gender, age (partial), tgid, etc. You can check fields as needed to reduce file size. After exporting, it can be directly imported into the mass sending tool or CRM system.

tg High-frequency problems and solutions encountered in actual cases of US data

In the practice of a large number of users, filtering tg US data often encounters the following problems:

• High number inefficiency (more than 30%): It may be because the number source is randomly generated or not cleaned. It is recommended to conduct a “global number generation + screening number” test sample on the original number to verify the efficiency before scaling up.
• Task stuck for a long time: It may be that the number in a single batch exceeds 100,000, or the file encoding is wrong (must be UTF-8). This can be solved by splitting small batches and checking the codes.
• The result file is too large for analysis: Select only necessary fields when exporting, or use a data deduplication warehouse to compress duplicates.

Through batch design + notification + retry mechanism, most problems can be solved within hours. The core of the entire process is: Split the 100,000-level TG US number data into manageable small batches, supplemented by concurrency control and failure retry, and finally merge it into clean and usable marketing data.

FAQ

**Q: How many items can be submitted at a time for tg US data bulk tasks? ** Answer: The KK-DATA console supports up to about 1 million numbers in a single task, but it is actually recommended to split data above 100,000 into 50,000-100,000 numbers/batch to balance stability and processing speed.

**Q: How to avoid the TG US number screening task from being restricted by the system? ** Answer: Reasonably split the batches, control the number of tasks running at the same time (it is recommended not to exceed 5), and turn on task completion notifications to avoid accumulation. Also, make sure the number is formatted correctly (starts with +1).

**Q: Can I still try again after a task fails? ** Answer: Yes. You can export the list of failed numbers on the task details page and resubmit it with one click, without repeatedly deducting the fees for successfully detected numbers.

**Q: What is the most convenient way to merge the results of multiple batches? ** Answer: It is recommended to use KK-DATA’s data deduplication warehouse: upload the export results of different batches to the same warehouse, the system will automatically deduplicate and merge them, and then export the final data in a unified manner.

**Q: Are the gender/age fields included in tg US data accurate? ** Answer: Telegram’s gender field is based on user public information and behavioral model inference. It can assist in screening specific groups of people (such as users around 30 years old), but it cannot reach government-level accuracy and is suitable for marketing targeting reference.

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