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Like IDE for SparkSQL: Support Pycharm! SparkSQLHelper v2025.1.1 released

Published at
1/14/2025
Categories
sql
tooling
sparksql
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Author
dogeking
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Like IDE for SparkSQL: Support Pycharm! SparkSQLHelper v2025.1.1 released

Recently, I have received feedback from users again, Expecting me to support Pycharm.

So, The version v2025.1.1 released.Plugin Address: https://plugins.jetbrains.com/plugin/26079-spark-sql-helper

spark Article's
30 articles in total
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Like IDE for SparkSQL: Support Pycharm! SparkSQLHelper v2025.1.1 released
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Enhancing Data Security with Spark: A Guide to Column-Level Encryption - Part 2
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Time-saver: This IDEA plugin can help you write SparkSQL faster
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How to Migrate Massive Data in Record Time—Without a Single Minute of Downtime 🕑
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Why Is Spark Slow??
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Like IDE for SparkSQL: SparkSQLHelper v2024.1.4 released
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Mastering Dynamic Allocation in Apache Spark: A Practical Guide with Real-World Insights
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Auditoria massiva com Lineage Tables do UC no Databricks
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Platform to practice PySpark Questions
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Exploring Apache Spark:
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Big Data
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Dynamic Allocation Issues On Spark 2.4.8 (Possible Issue with External Shuffle Service?)
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Entendendo e aplicando estratégias de tunning Apache Spark
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[API Databricks como serviço interno] dbutils — notebook.run, widgets.getArgument, widgets.text e notebook_params
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Análise de dados de tráfego aéreo em tempo real com Spark Structured Streaming e Apache Kafka
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My journey learning Apache Spark
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Integrating Elasticsearch with Spark
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Advanced Deduplication Using Apache Spark: A Guide for Machine Learning Pipelines
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Journey Through Spark SQL
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Choosing the Right Real-Time Stream Processing Framework
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Top 5 Things You Should Know About Spark
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PySpark optimization techniques
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End-to-End Realtime Streaming Data Engineering Project
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Machine Learning with Spark and Groovy
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Hadoop/Spark is too heavy, esProc SPL is light
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Leveraging PySpark.Pandas for Efficient Data Pipelines
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Databricks - Variant Type Analysis
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Comprehensive Guide to Schema Inference with MongoDB Spark Connector in PySpark
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Troubleshooting Kafka Connectivity with spark streaming
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Apache Spark 101

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