GA4 events table is missing

[adaptive_us]

Hi All,

I have 1.5 months of events data got missing and it has been few months for that. I checked the logs for the missing table and I found that intraday table was created and deleted for those events dates. Further, I can also see the log the deletion of the events table but couldn't find the log for insertion of this table in the project. How can this be possible ?

summarise : 

event_intraday_20230216 - insert log is present

event_intraday_20230216 - deletion log is present

event__20230216 - No log for insertion of this table

event_20230216 - deletion log is present ( reason expired) 

What could be the reason here ?

[ms4446]

The reason for the missing events data in Google Analytics 4 could be that the events table was never inserted into the project. This could happen if the events data was not properly configured, or if there was a problem with the data collection process.

The logs you have provided show that the intraday table was created and deleted for the missing events dates. This suggests that the events data was collected, but it was not inserted into the events table. The deletion log for the events table shows that the data was deleted because it had expired.

To troubleshoot this issue, you can check the following:

• Make sure that the events data is properly configured.
• Check the data collection process to make sure that the events data is being collected correctly.
• Review the logs to see if there are any errors or warnings that could explain why the events data was not inserted into the events table.

If you are still unable to resolve the issue, you can contact Google Analytics support for help.

Here are some additional possible reasons why the events data might be missing:

The data was deleted by a user or by a system process.

The data was corrupted.

The data was not collected due to a technical error. If you think that the data was deleted by a user or by a system process, you can try to restore the data from a backup. If the data is corrupted, you may need to contact Google Analytics support for help.

[msvduy]

can you help me

[adaptive_us]

Thanks for your response. I could see the data being flown for months after and before this period and no settings were changed that might have caused this issue. Is it possible to backup the data for this period. How can that be done to get the raw data for this period ?

[ms4446]

The GA4 Data API is a programmatic way to access data from Google Analytics 4. It can be used to backup data from GA4 by retrieving it and saving it to a file or database.

To backup data from GA4 using the GA4 Data API:

1. Install the required Python library:

pip install google-analytics-data

2. Set up authentication:

   1. Enable the GA4 Data API in the Google Cloud Console.
   2. Create a service account with the Data Reader role.
   3. Download the JSON key file for the service account.
   4. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of the JSON key file.

3. Ensure your Google Cloud project has the necessary permissions:

   • Add the service account to your GA4 property with the Data Reader role.

4. Write code that uses the GA4 Data API to retrieve the data you want to backup:

import google.analytics.data_v1beta as ga_data
from google.analytics.data_v1beta.types import DateRange, Dimension, Metric, RunReportRequest

# Initialize the GA4 Data API client
client = ga_data.BetaAnalyticsDataClient()

# Specify the property ID
property_id = "YOUR_GA4_PROPERTY_ID"

# Create a date range for the data you want to retrieve.
date_range = DateRange(start_date="2023-02-16", end_date="2023-03-31")

# Specify dimensions and metrics
dimensions = [Dimension(name="eventName")]
metrics = [Metric(name="eventCount")]

# Create the request
request = RunReportRequest(property=f"properties/{property_id}", date_ranges=[date_range], dimensions=dimensions, metrics=metrics)

# Run the report
response = client.run_report(request)

# Save the data to a file or database
for row in response.rows:
    print(row)

5. Save the data to a file or database:

• You can save the data to a CSV file, Google Cloud Storage bucket, or BigQuery table.

It is important to note that the GA4 Data API is a powerful tool, but it should be used responsibly. Make sure that you understand the risks involved before using it to access data from GA4.