![python - Databricks Exception: Total size of serialized results is bigger than spark.driver.maxResultsSize - Stack Overflow python - Databricks Exception: Total size of serialized results is bigger than spark.driver.maxResultsSize - Stack Overflow](https://i.stack.imgur.com/XZJNA.png)
python - Databricks Exception: Total size of serialized results is bigger than spark.driver.maxResultsSize - Stack Overflow
![pyspark - Total size of serialized results of tasks is bigger than spark. driver.maxResultSize - Stack Overflow pyspark - Total size of serialized results of tasks is bigger than spark. driver.maxResultSize - Stack Overflow](https://i.stack.imgur.com/SuitW.png)
pyspark - Total size of serialized results of tasks is bigger than spark. driver.maxResultSize - Stack Overflow
How do I work around this error when using RDD.collect(): "Total size of serialized results of 11 tasks (1051.5 MB) is bigger than spark.driver. maxResultSize"
![Utiliser les variables d'environnement pour faciliter le déploiement continu des notebooks Databricks – Methodidacte Utiliser les variables d'environnement pour faciliter le déploiement continu des notebooks Databricks – Methodidacte](http://methodidacte.org/wp-content/uploads/2020/03/image-4.png)
Utiliser les variables d'environnement pour faciliter le déploiement continu des notebooks Databricks – Methodidacte
![Spark OOM Error — Closeup. Does the following look familiar when… | by Amit Singh Rathore | The Startup | Medium Spark OOM Error — Closeup. Does the following look familiar when… | by Amit Singh Rathore | The Startup | Medium](https://miro.medium.com/v2/resize:fit:1400/1*5VR7QSyoz1kFuFCuYKqB7w.png)