Thanks for the comments I received. So in summary, Apache Spark itself doesn't directly manage materialized views,(MV) but it can work with them through integration with the underlying data storage systems like Hive or through iceberg. I believe databricks through unity catalog support MVs as well.
Moreover, there is a case for supporting MVs. However, Spark can utilize materialized views even though it doesn't directly manage them.. This came about because someone in the Spark user forum enquired about "Spark streaming issue to Elastic data*". One option I thought of was that uUsing materialized views with Spark Structured Streaming and Change Data Capture (CDC) is a potential solution for efficiently streaming view data updates in this scenario. . Mich Talebzadeh, Technologist | Architect | Data Engineer | Generative AI | FinCrime London United Kingdom view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> https://en.everybodywiki.com/Mich_Talebzadeh *Disclaimer:* The information provided is correct to the best of my knowledge but of course cannot be guaranteed . It is essential to note that, as with any advice, quote "one test result is worth one-thousand expert opinions (Werner <https://en.wikipedia.org/wiki/Wernher_von_Braun>Von Braun <https://en.wikipedia.org/wiki/Wernher_von_Braun>)". On Fri, 3 May 2024 at 00:54, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > An issue I encountered while working with Materialized Views in Spark SQL. > It appears that there is an inconsistency between the behavior of > Materialized Views in Spark SQL and Hive. > > When attempting to execute a statement like DROP MATERIALIZED VIEW IF > EXISTS test.mv in Spark SQL, I encountered a syntax error indicating that > the keyword MATERIALIZED is not recognized. However, the same statement > executes successfully in Hive without any errors. > > pyspark.errors.exceptions.captured.ParseException: > [PARSE_SYNTAX_ERROR] Syntax error at or near 'MATERIALIZED'.(line 1, pos 5) > > == SQL == > DROP MATERIALIZED VIEW IF EXISTS test.mv > -----^^^ > > Here are the versions I am using: > > > > *Hive: 3.1.1Spark: 3.4* > my Spark session: > > spark = SparkSession.builder \ > .appName("test") \ > .enableHiveSupport() \ > .getOrCreate() > > Has anyone seen this behaviour or encountered a similar issue or if there > are any insights into why this discrepancy exists between Spark SQL and > Hive. > > Thanks > > Mich Talebzadeh, > > Technologist | Architect | Data Engineer | Generative AI | FinCrime > > London > United Kingdom > > > view my Linkedin profile > > > https://en.everybodywiki.com/Mich_Talebzadeh > > > > Disclaimer: The information provided is correct to the best of my > knowledge but of course cannot be guaranteed . It is essential to note > that, as with any advice, quote "one test result is worth one-thousand > expert opinions (Werner Von Braun)". >
