Answer / Chanderpal Yadav

The `foreach()` operation in Apache Spark is a transformation action that applies a function to each element of a DataFrame or RDD (Resilient Distributed Dataset) and returns a new RDD as a result. The function passed to `foreach()` can perform arbitrary computations, including side effects like logging or writing to external storage. It's important to note that unlike transformations such as `map()`, the `foreach()` operation does not preserve the lineage of the DataFrame or RDD, which means it cannot be recomputed or cached.

Is spark sql faster than hive?

1 Answers  

---

What is accumulator in spark?

1 Answers  

---

Name three features of using Apache Spark

1 Answers  

---

What is difference between dataset and dataframe in spark?

1 Answers  

---

What is spark dynamic allocation?

1 Answers  

---

State the difference between persist() and cache() functions.

1 Answers  

---

How do I start a spark cluster?

1 Answers  

---

How can apache spark be used alongside hadoop?

1 Answers  

---

Who is the founder of spark?

1 Answers  

---

Do you need to install spark on all nodes of yarn cluster?

1 Answers  

---

What is tungsten engine in spark?

1 Answers  

---

What is difference between map and flatmap in spark?

1 Answers  

---