Delta Lake: INSERT OVERWRITE vs INSERT INTO for Efficient Table Insertion

VivekR
3 min readApr 14, 2023

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INSERT OVERWRITE vs INSERT INTO for Efficient Table Insertion

Delta Lake is a powerful technology that allows you to build data lakes on top of existing data warehouses. It provides ACID transactions, version control, and data lineage tracking. In the last article, we discussed Optimizing Delta Tables with the VACUUM Command.

One of the most important operations in a data lake is inserting data into tables. In this article, we will explore two different commands to insert data into Delta Lake tables: INSERT OVERWRITE and INSERT INTO.

INSERT OVERWRITE

INSERT OVERWRITE is a command that replaces existing data in a table with new data. This means that if you use INSERT OVERWRITE to add data to a table that already exists, any data that was previously in the table will be overwritten. This command is useful when you want to replace an entire table or when you want to remove old data and replace it with new data.

INSERT OVERWRITE table_name
VALUES(value1, value2, ...);

When to use INSERT OVERWRITE:

  • When you want to replace the entire table with new data.
  • When you want to remove old data and replace it with new data.

INSERT INTO

INSERT INTO is a command that adds new data to a table without deleting any existing data. This means that if you use INSERT INTO to add data to a table that already exists, the new data will be appended to the existing data. This command is useful when you want to add new data to an existing table without affecting the old data.

INSERT INTO table_name
VALUES(value1, value2, ...);

When to use INSERT INTO:

  • When you want to add new data to an existing table without deleting any old data.
  • When you want to append data to an existing table.

Performance considerations

Both INSERT OVERWRITE and INSERT INTO commands can have performance implications, especially if the table being updated is large. When using these commands, it is important to consider the following:

  • Data partitioning: Partitioning the data in the table can help speed up insert operations by allowing for parallelization of the insert process.
  • Filesize management: Delta Lake creates files of a certain size, and when new data is inserted, it may create additional files. It’s important to manage the size of these files to optimize performance.
  • Data format: Choosing the right data format can also impact performance. Delta Lake supports multiple file formats, including Parquet and ORC, which can provide benefits such as efficient compression and faster read times.

Inserting data into Delta Lake tables is a critical operation in building data lakes. The INSERT OVERWRITE and INSERT INTO commands are powerful tools that allow you to add new data to tables in different ways. Understanding the differences between these commands and when to use them can help you optimize the performance of your Delta Lake data lake.

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VivekR
VivekR

Written by VivekR

Data Engineer, Big Data Enthusiast and Automation using Python

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