---
title: "Extraction Logs"
slug: "extraction-logs"
description: "Solve data integration issues quickly with our data extraction logs. Learn what each Dataddo extraction log message means and how to solve the problem."
updated: 2025-10-31T16:03:23Z
published: 2025-10-31T16:03:23Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Extraction Logs

For ***data flow* extraction logs**, [see below](/docs/extraction-logs#flow-extraction-logs).

          

## Source Extraction Logs

### No Action Required

| Error Message | Meaning |
| --- | --- |
| Extraction enqueued | Your extraction has been enqueued and it will be processed shortly. No action needed. |
| Extraction successfully finished | Your extraction was successful, no errors were found. |

### Reauthorize Your Account

| Error Message | Solution |
| --- | --- |
| Client error: 'POST https://accounts.google.com/o/oauth2/token' resulted in a '400 Bad Request' response: { "error": "invalid_grant", "error_description": "Token has been expired or revoked." } | Your account needs to be reauthorized. Navigate to **[Authorizers](https://app.dataddo.com/authorizers)** and [reauthorize your source](/docs/authorized-services#how-to-reauthorize-your-account). |
| Error unauthorized_client - refresh_token is invalid | Your account is unauthorized. Navigate to **[Authorizers](https://app.dataddo.com/authorizers)** and [add your service](https://app.dataddo.com/service/new). |

### No Data Retrieved

| Error Message | Solution |
| --- | --- |
| All requests to target systems failed | When trying to extract your data, all requests failed. For more information on what went wrong, you can test your extraction. Click on the three dots on your source and select **Test Extraction**. |
| No data retrieved. Enable extraction's 'allow empty' rule if you accept empty datasets | No data was found when extracting data. In case this is expected behavior (e.g. you don’t have orders everyday or don’t run ads daily), you can enable the “**allow empty**” function during the ***data source*** creation. For an existing ***data source***, click on it and scroll down on the **Basic Info** tab to enable the function. ![Allow Empty](https://cdn.document360.io/084ed225-3f99-4644-a2da-39ca0cd5ef45/Images/Documentation/Source%20Action%20-%20Allow%20Empty.png) |

### Reschedule Synchronization Time

| Error Message | Solution |
| --- | --- |
| Another extraction with exactly same parameter was executed in parallel with this one. Please reschedule your conflicting extractions. | When configuring multiple ***data sources*** with identical configurations, ensure there is at least a 15-minute difference between each sync to avoid potential conflicts or performance issues. |

### Change Source Schema

| Error Message | Solution |
| --- | --- |
| Failed to save data to storage: Failed to update source data: Server error: 'PUT https://storage.prod.dataddo.com/v1.0/append' resulted in a '500 Internal Server Error' response:\n{"status":"Internal Server Error","error":"replace: Failed to cast values of column 'column_A' (type:integer, id:XXXXXX): failed to cast string value '--' to integer"}\n\n | You will need to change the data type of column named `column_A`. In this case we will need to change the type from `integer` to `string` since we are received string values. For more information, refer to [the article on data types](/docs/schema#changing-data-types). |

## Flow Extraction Logs

### No Action Required

| Error Message | Meaning |
| --- | --- |
| Job enqueued | Your extraction has been enqueued and it will be processed shortly. No action needed. |
| [Number] rows written | [Number] of rows was successfully loaded into the ***data destination***. |

### Reauthorize Your Account

| Error Message | Solution |
| --- | --- |
| Erroneous communication with Google Big Query API. | Navigate to **[Authorizers](https://app.dataddo.com/authorizers)** and [reauthorize Google BigQuery](/docs/authorized-services#how-to-reauthorize-your-account). |
| Failed to enqueue write job. | Writing your data to the ***data destination*** failed. Navigate to **[Authorizers](https://app.dataddo.com/authorizers)** and [reauthorize your destination](/docs/authorized-services#how-to-reauthorize-your-account). |
| Client error: 'POST https://accounts.google.com/o/oauth2/token' resulted in a '400 Bad Request' response: { "error": "invalid_grant", "error_description": "Bad Request" } | Your authentication expired or is invalid. Navigate to **[Authorizers](https://app.dataddo.com/authorizers)** and [reauthorize](/docs/authorized-services#how-to-reauthorize-your-account) your ***data destination***. |
| Stream transfer: write data from stream: ZOHO write: upload file to Zoho: destination response URL: https://www.zohoapis.eu/crm/v3/org: status_code: 403 response: {"code":"CRMPLUS_TRIAL_EXPIRED","details":{},"message":"CRM plus trial expired","status":"error"} | Your CRM plus trial has expired, please upgrade your ZOHO CRM account. |

### Change Table Schema

| Error Message | Solution |
| --- | --- |
| Json unmarshal: Failed to convert value GBQ data type: Column 'gadate' schema is set to 'TIMESTAMP' and thus the 'integer' type values cannot be inserted to it | Affected column data type is incompatible with the data type in your ***data destination***. Do one of the following: |
| Stream transfer: write data from stream: [Unknown][][] Erroneous communication with Google Big Query API: failed to prepare table: Failed to create new table '407589665707:data_writer_test.blended_sources_test': googleapi: Error 400: Field column_A already exists in schema, invalid | Field `column_A` already exists in schema. Click on your ***data source*** and rename your field in the **Schema** tab. |
| "error": "reading current structure: verifying table name: there is more than one table matching "facebook_ads": [company_production.facebook_ads company_staging.facebook_ads]" | There are two tables with the same name (`facebook_ads`) in your storage. You can do one of the following: |
| Table does not contain 'app_clicks' column | The issue arises due to a schema mismatch between the ***data source*** and ***data destination*** tables. Specifically, the `app_clicks` column is missing in the ***data destination*** table. Additionally, double-check that the ***data flow*** directs information to the correct destination table. Each flow should be set up to send data to a different table. |

### Connector Specific Logs

| Error Message | Solution |
| --- | --- |
| Stream transfer: write data from stream: writing to sheet: Failed to write data to sheet by columns: Failed to write "USER_ENTERED" data batch to sheet: googleapi: Error 400: Invalid data[0]: This action would increase the number of cells in the workbook above the limit of 10000000 cells., badRequest | Your Google Sheets limit has been reached. Please select another Sheet as a ***data destination***. |

Data flows allow you to orchestrate the integration of your data from various sources to your desired destinations. You may add multiple data sources with the same schema to one flow to merge data for a consolidated output.

A source is a collection of data from an authorized service that's been connected via a Dataddo connector. Data within the source is automatically refreshed based on the source's configuration.

A data type, specified within a data source’s schema, determines the kind of value that can be stored in a column for organized data management. The available data types include integer, float, date, and string.

A destination is the endpoint where the data from your sources will be loaded. Destinations include dashboarding tools, data warehouses, and other online services.