How to Integrate MySQL with Apache Spark in PostgreSQL

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How do I connect MySQL to Apache Spark and move data both ways?

Use Spark’s JDBC data source to read from and write to MySQL tables at scale.

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Description

Example H2

Example H3

Why integrate MySQL with Apache Spark?

Pulling data from MySQL into Spark lets you run distributed analytics, join with other data sources, and write the results back to MySQL for downstream apps, dashboards, or micro-services.

What JDBC URL and options are required?

Use the jdbc:mysql:// URL, a user with SELECT/INSERT privileges, and specify driver com.mysql.cj.jdbc.Driver. Always add rewriteBatchedStatements=true to speed up writes.

How do I read the Customers table?

spark.read.format("jdbc") .option("url", "jdbc:mysql://db.prod:3306/shop") .option("dbtable", "Customers") .option("user", "analytics") .option("password", env["MYSQL_PWD"]) .load()

How do I join Orders and OrderItems in Spark?

Load each table as a DataFrame, register temp views, then run Spark SQL: SELECT o.id, SUM(oi.quantity) qty FROM Orders o JOIN OrderItems oi ON o.id = oi.order_id GROUP BY o.id.

How do I write aggregated results back to MySQL?

Call df.write with mode("append") or mode("overwrite"), set batchsize (500–5 000), and enable isolationLevel="NONE" when eventual consistency is acceptable.

How can I load data incrementally?

Filter on created_at > '{{last_run}}' or use the partitionColumn, lowerBound, and upperBound options to parallel-scan numeric primary keys.

What performance tips matter most?

Push projections/filters to MySQL with predicatePushdown=true.
Use partitioning to parallelize reads.
Persist look-up tables to memory when reused.
Close Spark sessions to release MySQL connections.

What are common mistakes?

1️⃣ Forgetting the MySQL JDBC driver

Without adding mysql-connector-j.jar to Spark’s classpath, the job fails. Ship it with --jars or place it in $SPARK_HOME/jars.

2️⃣ Writing with default batch size

Leaving batchsize at 1 causes thousands of round-trips. Set .option("batchsize", 1000) to cut runtime dramatically.

FAQ

Does Spark push SQL predicates to MySQL?

Yes—simple =, <, > filters on non-computed columns are translated into the JDBC query, reducing data transfer.

Can I use SSL?

Append ?useSSL=true&requireSSL=true to the JDBC URL and provide the keystore/truststore paths with spark.driver.extraJavaOptions.

Why How to Integrate MySQL with Apache Spark in PostgreSQL is important

How to Integrate MySQL with Apache Spark in PostgreSQL Example Usage


-- Read Customers and Orders, calculate customer lifetime value, write back
val customers = spark.read.format("jdbc")
  .option("url", "jdbc:mysql://db.prod:3306/shop")
  .option("dbtable", "Customers")
  .option("user", "analytics")
  .option("password", env["MYSQL_PWD"]) 
  .load()

val orders = spark.read.format("jdbc")
  .option("url", "jdbc:mysql://db.prod:3306/shop")
  .option("dbtable", "Orders")
  .option("user", "analytics")
  .option("password", env["MYSQL_PWD"]) 
  .load()

val clv = orders.groupBy("customer_id")
               .sum("total_amount")
               .withColumnRenamed("sum(total_amount)", "lifetime_value")

clv.write.format("jdbc")
   .option("url", "jdbc:mysql://db.prod:3306/shop?rewriteBatchedStatements=true")
   .option("dbtable", "customer_clv")
   .option("user", "analytics")
   .option("password", env["MYSQL_PWD"]) 
   .mode("overwrite")
   .option("batchsize", "5000")
   .save()

How to Integrate MySQL with Apache Spark in PostgreSQL Syntax


spark.read.format("jdbc") \
     .option("url", "jdbc:mysql://<host>:<port>/<database>") \
     .option("dbtable", "<schema_or_table>") \
     .option("user", "<username>") \
     .option("password", "<password>") \
     [ .option("driver", "com.mysql.cj.jdbc.Driver") ] \
     [ .option("partitionColumn", "id") ] \
     [ .option("lowerBound", "1") ] \
     [ .option("upperBound", "100000") ] \
     [ .option("numPartitions", "4") ] \
     .load()

# Writing back

df.write.format("jdbc") \
  .option("url", "jdbc:mysql://<host>:<port>/<database>?rewriteBatchedStatements=true") \
  .option("dbtable", "<target_table>") \
  .option("user", "<username>") \
  .option("password", "<password>") \
  .option("batchsize", "2000") \
  .mode("append") \
  .save()

Common Mistakes

Omitting the MySQL connector JAR causes ClassNotFound errors. Fix by adding it with --jars or placing it in $SPARK_HOME/jars.
Using default batchsize=1 slows inserts dramatically. Set option("batchsize", 500–5000) for efficient bulk writes.