In this article, we will explore different approaches to load data into a Spark Metastore table. We will cover how to append data into an existing table and how to overwrite data in a table.
Explanation for the video
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Key Concepts Explanation
Append Data into Table
To append data into an existing table, we use the INTO TABLE clause in Spark SQL. This will add the new data to the existing data in the table.
LOAD DATA LOCAL INPATH '/data/retail_db/orders'
INTO TABLE orders
Overwrite Data in Table
To overwrite data in a table, we specify OVERWRITE INTO TABLE in Spark SQL. This will replace the existing data in the table with the new data.
LOAD DATA LOCAL INPATH '/data/retail_db/orders'
OVERWRITE INTO TABLE orders
Hands-On Tasks
- Append data into the ‘orders’ table using the provided data file.
- Overwrite data in the ‘orders’ table using the same data file.
Conclusion
In this article, we discussed how to load data into Spark Metastore tables by either appending data to an existing table or overwriting data in a table. It is essential to understand these concepts to manage and update data effectively in Spark. Practice these tasks and engage with the community for further learning.