spark-excel
A Spark plugin for reading and writing Excel files (by crealytics)
Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing (by apache)
| spark-excel | Apache Spark | |
|---|---|---|
| 8 | 101 | |
| 439 | 38,378 | |
| 1.6% | 0.6% | |
| 8.6 | 10.0 | |
| 7 days ago | 5 days ago | |
| Scala | Scala | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spark-excel
Posts with mentions or reviews of spark-excel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-17.
- Pandas was faster and less memory intensive then crealytics pyspark. How is it possible?
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Automating Excel to Databricks Table
Not natively. But the com.crealytics.spark.excel library has had great results for us. There are still some cases where pandas manipulation is needed with Excel files that have weird header setups.
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Can AWS Glue convert a JSON payload to Excel tab? (not csv)
Spark 3.2 has a to_excel() method, but not Spark 3.1, so you'll need to use an external library such as https://github.com/crealytics/spark-excel
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Reading a xlsx file with PySpark
Have you checked spark-excel's documentation? The dataAddress option seems to be what you're looking for.
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read percentage values in spark ( no casting )
Are you using this library to load xlsx files? https://github.com/crealytics/spark-excel
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Exception in thread "main" org.apache.spark.sql.AnalysisException: Cannot modify the value of a Spark config: spark.executor.memory;
I found similiar issues on their github: https://github.com/crealytics/spark-excel/issues/227
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How do I learn to read a plug-in?
Plug-in in question is GitHub - crealytics/spark-excel: A Spark plugin for reading Excel files via Apache POI , but I guess it could be any. Assuming that I can read the plain code in an individual .scala file how do I learn to understand how it all pieces together and what the underlying code being run is?
Apache Spark
Posts with mentions or reviews of Apache Spark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-11.
- "xAI will open source Grok"
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
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🦿🛴Smarcity garbage reporting automation w/ ollama
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
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Five Apache projects you probably didn't know about
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features.
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Apache Spark VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Integrate Pyspark Structured Streaming with confluent-kafka
Apache Spark - https://spark.apache.org/
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Spark – A micro framework for creating web applications in Kotlin and Java
A JVM based framework named "Spark", when https://spark.apache.org exists?
- Rest in Peas: The Unrecognized Death of Speech Recognition (2010)
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PySpark SparkSession Builder with Kubernetes Master
I recently saw a pull request that was merged to the Apache/Spark repository that apparently adds initial Python bindings for PySpark on K8s. I posted a comment to the PR asking a question about how to use spark-on-k8s in a Python Jupyter notebook, and was told to ask my question here.