Hudi Alternatives

Reviews and mentions

• Apache Hudi and Glue Catalog
  1 project | reddit.com/r/aws | 1 Nov 2021

  Found this very similar discussion, differing only in that it's EMR which is what Glue is in the background anyway. Logs attached in the discussion are showing an error thrown by Glue when Hudi tries to perform an ALTER TABLE CASCADE because Glue metastore doesn't support cascade. The linked Jira in the discussion claims that more recent EMR versions resolve this issue but there are comments as of May this year claiming it's still unresolved. It's unclear to me which EMR version Glue 2.0 uses. I'll dig into this tomorrow and also try with Glue 3.0 as that may use a more recent version of EMR that's resolved the issue.

• SCD type 2 in spark
  2 projects | reddit.com/r/dataengineering | 15 Oct 2021

  Use Hudi Or Delta Lake

• Updating Partition Values With Apache Hudi
  1 project | dev.to | 23 Sep 2021

  If you're not familiar with Apache Hudi, it's a pretty awesome piece of software that brings transactions and record-level updates/deletes to data lakes.

• Would ParquetWriter from pyarrow automatically flush?
  4 projects | reddit.com/r/learnpython | 11 Sep 2021
• Reliable ingestion from AWS S3 using Hudi
  1 project | dev.to | 2 Sep 2021

  In this post we will talk about a new deltastreamer source which reliably and efficiently processes new data files as they arrive in AWS S3. As of today, to ingest data from S3 into Hudi, users leverage DFS source whose path selector would identify the source files modified since the last checkpoint based on max modification time.

• Apache Hudi - The Streaming Data Lake Platform
  8 projects | dev.to | 27 Jul 2021

  But first, we needed to tackle the basics - transactions and mutability - on the data lake. In many ways, Apache Hudi pioneered the transactional data lake movement as we know it today. Specifically, during a time when more special-purpose systems were being born, Hudi introduced a server-less, transaction layer, which worked over the general-purpose Hadoop FileSystem abstraction on Cloud Stores/HDFS. This model helped Hudi to scale writers/readers to 1000s of cores on day one, compared to warehouses which offer a richer set of transactional guarantees but are often bottlenecked by the 10s of servers that need to handle them. We also experience a lot of joy to see similar systems (Delta Lake for e.g) later adopt the same server-less transaction layer model that we originally shared way back in early '17. We consciously introduced two table types Copy On Write (with simpler operability) and Merge On Read (for greater flexibility) and now these terms are used in projects outside Hudi, to refer to similar ideas being borrowed from Hudi. Through open sourcing and graduating from the Apache Incubator, we have made some great progress elevating these ideas across the industry, as well as bringing them to life with a cohesive software stack. Given the exciting developments in the past year or so that have propelled data lakes further mainstream, we thought some perspective can help users see Hudi with the right lens, appreciate what it stands for, and be a part of where it’s headed. At this time, we also wanted to shine some light on all the great work done by 180+ contributors on the project, working with more than 2000 unique users over slack/github/jira, contributing all the different capabilities Hudi has gained over the past years, from its humble beginnings.

• CRUD operations on a large partitioned parquet dataset using Spark
  1 project | reddit.com/r/dataengineering | 17 Jul 2021

  Yes, or Apache Hudi: https://hudi.apache.org/

• Optimize Data Lake layout using Clustering in Apache Hudi
  1 project | dev.to | 27 Jan 2021

  Finally, the clustering plan is saved to the timeline in an avro metadata format.