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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

aladda
by Databricks Employee
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aladda
Databricks Employee
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Delta Live Table supports the data quality checks via expectations. On encountering invalid records you can choose to either retain them, drop them or fail/stop the pipeline. See the link below for additional detailshttps://docs.databricks.com/data-e...

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aladda
by Databricks Employee
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aladda
Databricks Employee
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Here's the difference a View and Table in the context of a Delta Live Table PIpelineViews are similar to a temporary view in SQL and are an alias for some computation. A view allows you to break a complicated query into smaller or easier-to-understan...

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aladda
by Databricks Employee
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aladda
Databricks Employee
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Yes. You can specify a "target" database as part of your DLT pipeline configuration to publish results to a target database in the metastore. See - https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-quickstart.html#publi...

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aladda
by Databricks Employee
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aladda
Databricks Employee
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DLT Pipeline results are published to the "Storage Location" defined as part of configuring the Pipeline. Ex:- https://docs.databricks.com/_images/dlt-create-notebook-pipeline.pngIf an explicit Storage Location is not specified, the pipeline results ...

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aladda
by Databricks Employee
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aladda
Databricks Employee
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Notebooks with Delta Live Table/View definition just contain the pipeline definition. In order to execute Delta Live Tables Notebooks you need to define a Pipeline via the Jobs UI. Pipeline carries with it the logic to build the dependency graph betw...

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User16137833804
by Databricks Employee
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sajith_appukutt
Honored Contributor II
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You could have the single node cluster where proxy is installed monitored by one of the tools like cloudwatch, azure monitor, datadog etc and have it configured to send alerts on node failure

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User16826994223
by Honored Contributor III
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DBFS root resides in the Customer account or Databricks Account

IF I installed the root Bucket I see a root bucket is created with workspace, Does this bucket resided in Customer account or Databricks Account. How can I Access the bucket and can i see this bucket directly in s3 or ADLS

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sajith_appukutt
Honored Contributor II
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Didin't get the reference about installing bucket ? did you mean configured a workspace with root bucket. If so, you'd have probably gathered that root storage for a workspace resides in customer's account

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Ryan_Chynoweth
by Esteemed Contributor
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User16783853906
Contributor III
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Delta cache accelerates data reads by creating copies of remote files in nodes’ local storage using a fast intermediate data format. The data is cached automatically whenever a file has to be fetched from a remote location. Successive reads of the sa...

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User16783853501
by Databricks Employee
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Converting data that is in Delta format to plain parquet format

Many a times there is a need to convert Delta tables from Delta format to plain parquet format for a number of reasons, what is the best way to do that?

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User16826994223
Honored Contributor III
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You can easily convert a Delta table back to a Parquet table using the following steps:If you have performed Delta Lake operations that can change the data files (for example, delete or merge, run vacuum with retention of 0 hours to delete all data f...

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User16783853906
by Contributor III
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Metaexception [Version information not found in metastore] during cluster [re]start

Trying to configure new external metastore and running into the following exception during cluster initialization - Caused by: MetaException(message:Version information not found in metastore. )   at org.apache.hadoop.hive.metastore.RetryingHMSHandl...

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User16783853906
Contributor III
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The above exception happens when the hive schema is not available in the metastore instance. Please check in your init scripts to make sure the following flag is enabled to create hive Schema and tables if not already present. datanucleus.autoCreateA...

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brickster_2018
by Databricks Employee
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brickster_2018
Databricks Employee
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The below code snippet can be used to get the DBR details on a HC clusterprint("hadoopVersion:" + sc._gateway.jvm.org.apache.hadoop.util.VersionInfo.getVersion()) print("baseVersion:" + sc._gateway.jvm.org.apache.spark.BuildInfo.sparkBranch()) print(...

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aladda
by Databricks Employee
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brickster_2018
Databricks Employee
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Databricks notebooks can be exported and stored in S3 or any other object storage. The internal storage of the databricks notebook cannot be changed or configured. The implementation is internal to Databicks control plane and not user configurable.

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brickster_2018
by Databricks Employee
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brickster_2018
Databricks Employee
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The below code snippet is useful to get the modification time of files. %scala import scala.util.Try import org.apache.hadoop.conf.Configuration import org.apache.hadoop.fs.{FileSystem, Path} import org.apache.hadoop.io.IOUtils import java.io.IOExcep...

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brickster_2018
by Databricks Employee
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Resolved! How and when to capture the thread dump of the Spark driver?

What is the best way to capture the thread dump of the Spark driver process. Also, when should I capture the thread dump?

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brickster_2018
Databricks Employee
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For Spark driver the process is the same. Choose the driver from the Executor page and view the thread dump. A thread dump is the footprints of the JVM they are very useful in debugging issues where the JVM process is stuck or making extremely slow p...

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brickster_2018
by Databricks Employee
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Resolved! Autoloader: How to identify the backlog in RocksDB

With S3-SQS it was easier to identify the backlog ( the messages that are fetched from SQS and not consumed by the streaming job) How to find the same with Auto-loader

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brickster_2018
Databricks Employee
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For DBR 8.2 or later, the backlog details are captured in the Streaming metricsEg:

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