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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

Srikanth_Gupta_
by Databricks Employee
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sajith_appukutt
Databricks Employee
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coalesce avoids a full shuffle and could be used to decrease the number of partitionsrepartition results in a full shuffle and could be used to increase or decrease the number of partitions

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User16776430979
by Databricks Employee
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Repos branch control – how can we configure a job to run a specific branch?

For example, how can we ensure our jobs always run off the main/master branch?

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User16781336501
Databricks Employee
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We recommend having a top level folder to run jobs against. Best practice detailed here: https://docs.databricks.com/repos.html#best-practices-for-integrating-repos-with-cicd-workflows

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User16830818469
by Databricks Employee
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Repos integration

Does repos work with on-prem/enterprise bit bucket?

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User16781336501
Databricks Employee
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If you have a private git server (e.g. behind VPN, IP whitelist), you will need to be enrolled in the git proxy private preview to use Repos, please contact your account team.

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User16826994223
by Databricks Employee
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Time stamp changes in spark sql

Hi Team Is there a way to change the current timestamp from the current time zone to a different time zone .

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Srikanth_Gupta_
Databricks Employee
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import sqlContext.implicits._import org.apache.spark.sql.functions._inputDF.select(   unix_timestamp($"unix_timestamp").alias("unix_timestamp"),   from_utc_timestamp($"unix_timestamp".cast(DataTypes.TimestampType), "UTC").alias("UTC"),   from_utc_tim...

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User16826994223
by Databricks Employee
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I understand Spark Streaming uses micro-batching. Does this increase latency?

I understand Spark Streaming uses micro-batching. Does this increase latency?

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User16826994223
Databricks Employee
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While Spark does use a micro-batch execution model, this does not have much impact on applications, because the batches can be as short as 0.5 seconds. In most applications of streaming big data, the analytics is done over a larger window (say 10 min...

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User16826994223
by Databricks Employee
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Why Unity Catalouge ?Fine-grained permissions: Unity Catalog can enforce permissions for data at the row, column or view level instead of the file lev...

Why Unity Catalouge ?Fine-grained permissions: Unity Catalog can enforce permissions for data at the row, column or view level instead of the file level, so that you can always share just part of your data with a new user without copying it.An open, ...

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User16826994223
by Databricks Employee
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Resolved! what are the join hints, available in spark 3.0, and how does it help compare to pervious spark version

what are the join hints, available in spark 3.0, and how does it help compare to pervious spark version 

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Latest Reply
Srikanth_Gupta_
Databricks Employee
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4 types of join hints in Spark 3.0BROADCASTMERGESHUFFLE_HASHSHUFFLE_REPLICATE_NLMay be good idea to enable Adaptive Query Execution which speeds up Spark SQL join during run timeIn Spark 3.0, Adaptive Query Execution comes with below featuresDynamica...

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User16826994223
by Databricks Employee
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How is the photon engine different to catalyst optimizer

How is the photon engine different to catalyst optimizer

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User16826994223
Databricks Employee
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I got this question from some customers and I want ti clarify here tooI think we are conflating two things:Catalyst optimizer is about coming up "Steps to take to execute the query". For example, the optimizer will decide how and when to do the join...

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User16826994223
by Databricks Employee
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databricks.com

Can I create a Delta Lake table on Databricks and query it with open-source Spark?Yes, in order to do this, you would install Open Source Spark and Delta Lake, both are open source. Delta Engine, which is only available on Databricks, will make delta...

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User16826994223
by Databricks Employee
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Data scientist Job Profile will be relevant in the future? By seeing current features in Databricks like AUTO ML, I am assuming that should the Data ...

Data scientist Job Profile will be relevant in the future?By seeing current features in Databricks like AUTO ML, I am assuming that should the Data scientist job will be mostly automated and sooner the data scientist in the company will start decl...

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User16826994223
by Databricks Employee
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Spark 3.0 Pandas UDF  Old vs New Pandas UDF interfaceThis slide shows the difference between the old and the new interface. The same here. The new int...

Spark 3.0 Pandas UDF Old vs New Pandas UDF interfaceThis slide shows the difference between the old and the new interface. The same here. The new interface can also be used for the existing Grouped Aggregate Pandas UDFs. In addition, the old Pandas U...

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User16826994223
by Databricks Employee
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Cluster Sizees on DB sql Cluster size Driver size Worker count 2X-Small i3.2xlarge 1 X-Small i3.2xlarge 2 Small i3.4xlarge 4 Med...

Cluster Sizees on DB sql Cluster size Driver size Worker count 2X-Small i3.2xlarge 1 X-Small i3.2xlarge 2 Small i3.4xlarge 4 Medium i3.8xlarge 8 Large i3.8xlarge 16 X-Large i3.16xlarge 32 2X-Large i3.16xlarge...

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User16826994223
by Databricks Employee
  • 2344 Views
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Muti Cluster Load balancing Multi-cluster Load Balancing: the minimum and maximum number of clusters over which queries sent to the endpoint are distr...

Muti Cluster Load balancingMulti-cluster Load Balancing: the minimum and maximum number of clusters over which queries sent to the endpoint are distributed. The default is Off with a maximum of 1 cluster. When set to On, the default is minimum 1 clus...

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