LAVERNE  CROOKS

LAVERNE CROOKS

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️ The origin of the article: https://www.youtube.com/watch?v=u29amcKxcEU

🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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LAVERNE  CROOKS

LAVERNE CROOKS

1624558380

Join Maha Dao Community and earn enough coin

Join Maha Dao Community and earn enough coin

📺 The video in this post was made by LEARN EVERYTHING FOR FREE EFF DONVIP
️ The origin of the article: https://www.youtube.com/watch?v=u29amcKxcEU

🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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Brad  Hintz

Brad Hintz

1599302760

Apache Spark’s Join Algorithms

One of the most frequently used transformations in Apache Spark is Join operation. Joins in Apache Spark allow the developer to combine two or more data frames based on certain (sortable) keys. The syntax for writing a join operation is simple but some times what goes on behind the curtain is lost. Internally, for Joins Apache Spark proposes a couple of Algorithms and then chooses one of them. Not knowing what these internal algorithms are, and which one does spark choose might make a simple Join operation expensive.

While opting for a Join Algorithm, Spark looks at the size of the data frames involved. It considers the Join type and condition specified, and hint (if any) to finally decide upon the algorithm to use. In most of the cases, Sort Merge join and Shuffle Hash join are the two major power horses that drive the Spark SQL joins. But if spark finds the size of one of the data frames less than a certain threshold, Spark puts up Broadcast Join as it’s top contender.

Broadcast Hash Join

Looking at the Physical plan of a Join operation, a Broadcast Hash Join in Spark looks like this

Joins in Apache Spark: Broadcast Join

The above plan shows that the data frame from one of the branches broadcasts to every node containing the other data frame. In each node, Spark then performs the final Join operation. This is Spark’s per-node communication strategy.

Spark uses the Broadcast Hash Join when one of the data frame’s size is less than the threshold set in spark.sql.autoBroadcastJoinThreshold. It’s default value is 10 Mb, but can be changed using the following code

spark.conf.set("spark.sql.autoBroadcastJoinThreshold", 100 * 1024 * 1024)

This algorithm has the advantage that the other side of the join doesn’t require any shuffle. If this other side is very large, not doing the shuffle will bring notable speed-up as compared to other algorithms that would have to do the shuffle.

Broadcasting large datasets can also lead to timeout errors. A configuration spark.sql.broadcastTimeout sets the maximum time that a broadcast operation should take, past which the operation fails. The default timeout value is 5 minutes, but it can be set as follows:

spark.conf.set("spark.sql.broadcastTimeout", time_in_sec)

Sort Merge Join

If neither of the data frames can be broadcasted, then Spark resorts to Sort Merge Join. This algorithm uses the node-node communication strategy, where Spark shuffles the data across the cluster.

Sort Merge Join requires both sides of the join to have correct partitioning and order. Generally, this is ensured by** shuffle and sort** in both branches of the join as depicted below

#apache spark #scala #tech blogs #broadcast join #join opertaions #join optimization #joins in spark #shuffled hash join #sort merge join

Apache Spark’s Join Algorithms
Karlee  Will

Karlee Will

1621561800

Your Ultimate Guide to SQL Join: CROSS JOIN

CROSS JOIN is in the spotlight. This article finishes our small series of SQL JOIN-related publications.

SQL Server CROSS JOIN is the simplest of all joins. It implements a combination of 2 tables without a join condition. If you have 5 rows in one table and 3 rows in another, you get 15 combinations. Another definition is a Cartesian Product.

Now, why would you want to combine tables without a join condition? Hang on a bit because we are getting there. First, let’s refer to the syntax.

#sql server #cross join #inner join #outer join #sql join #sql

Your Ultimate Guide to SQL Join: CROSS JOIN
Paris  Turcotte

Paris Turcotte

1617974220

Connecting with the Docker Community– Recap of Our First Community All Hands

Last week, we held our first Community All Hands and the response was phenomenal. A huge thank you to all 1,100+ people who joined. If you missed it, you can watch the recording here. You can also find answers to those questions that came in towards the end that we didn’t have time to answer here.

This all-hands was an effort to further deepen our engagement with the community and bring users, contributors and staff together on a quarterly basis to share updates on what we’re working on and what our priorities are for 2021 and beyond. The event was also an opportunity to give the community direct access to Docker’s leadership and provide a platform to submit questions and upvote those that are most relevant and important to people.

The overwhelming piece of feedback we got from attendees was that the event was too short and people would have loved to see more demos. We certainly had a packed agenda and we did our best to squeeze in as much into an hour. For our next one (in February 2021!), we’ll aim to extend the event by 30 minutes and include more live demos. We’ll also try to make it more interactive and give additional time to answer more questions. If you have any other ideas on how we can improve the all-hands and make it more engaging, don’t hesitate to send me a note on our community slack (@William).

Community events are a key pillar of our community-building strategy and we look forward to experimenting with new types of events like this one to continue pushing for more participation, openness and engagement. Onwards!

#community #community #developers #docker #docker community

Connecting with the Docker Community– Recap of Our First Community All Hands
Mery tris

Mery tris

1623272400

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