How to generate a manifest file for a Delta table in Databricks

This recipe helps you generate a manifest file for a Delta table in Databricks

Recipe Objective - How to generate a manifest file for a Delta table?

The Delta Lake table, defined as the Delta table, is both a batch table and the streaming source and sink. The Streaming data ingest, batch historic backfill, and interactive queries all work out of the box. Delta Lake provides the ability to specify the schema and also enforce it, which further helps ensure that data types are correct and the required columns are present, which also helps in building the delta tables and also preventing the bad data from causing data corruption in both delta lake and delta table. The Delta can write the batch and the streaming data into the same table, allowing a simpler architecture and quicker data ingestion to the query result. Also, the Delta provides the ability to infer the schema for data input which further reduces the effort required in managing the schema changes. The manifest file for the Delta table can be generated, which can be used by other processing engines other than Apache Spark to read the Delta table.

System Requirements

This recipe explains what Delta lake is and how to generate a manifest file in Spark.

Generating manifest file in Databricks

// Importing packages import org.apache.spark.sql.{SaveMode, SparkSession} import io.delta.tables._

Databricks-1

The spark SQL Savemode and Sparksession package, and Delta table package are imported in the environment to generate a manifest file for a Delta table.

// Implementing Manifest file in Delta table object ManifestDeltaTable extends App { val spark: SparkSession = SparkSession.builder() .master("local[1]") .appName("Spark Manifest Delta table") .getOrCreate() spark.sparkContext.setLogLevel("ERROR") val SampledeltaTable = DeltaTable.forPath("/tmp/delta-table") // Generating manifest file SampledeltaTable.generate("symlink_format_manifest") }

Databricks-2

Databricks-3

ManifestDeltaTable object is created in which spark session is initiated. The "Sampledeltatable" value is created in which the delta table is loaded from the "/tmp/delta-table" path. Further, the manifest file is generated using generate() function for the Delta table loaded from the specified path.

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