Real-Time Project Scenario To Read MySQL Table using PySpark Program | Hands-On | DM | DataMaking

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Option 1:

Option 2:

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[sthirumalai]

Hi I downloaded the mysql jar and tried to run the program in Eclipse and got a class not found exception.
: com.mysql.jdbc.driver

I added the jar in the class path but still not working ..Any idea?

[himalayanpeace]

Is it necessary to download in virtual machine?

[karthikramalingam]

Can you please tell me, Where we need to download the mysql connector?

[anvithakommineni]

facing error :(
trans_detail_tb1_data_df = spark.read.format("jdbc") \
TypeError: options() takes 1 positional argument but 3 were given

[sushilpandey]

Would you mind sharing the code with us?

[sreelakshmibalasubramanya]

Hi, I need to Create Connection class which will have different connection objects(for every DB, that includes driver, hostname/ip address, username, password, database name and etc). So that we can maintain all connection properties in single class which can help us to create DB session easily. could you please help

[suramvinay]

I want to connect to aws rds(postgresql) can you pls tell me is there any difference in script except jar and db details

[avamsi]

I need to connect to db2 database through pyspark for reading the table.facing error :-No suitable driver found.any help on this?
I have jdbc drivers and where to add this drivers in project settings?

[prakashbishwas]

Pyspark Training materials for beginners

[SheetalPandrekar]

i am getting communication link failure

[deepakbehera]

Sir will the same properties apply for SQL server connection

[vetrij]

To read large tables using this below properites
query = "(select * from table) data"
j = self.spark.read.format("jdbc").option("url", "jdbc:mysql://" + host_name + ":3306") \
.option("driver", "com.mysql.cj.jdbc.Driver").option("dbtable", query) \
.option("lowerbound", 0) \
.option("upperbound", 79657132) \
.option("numpartitions", 10) \
.option("partitionColumn", "key_column") \
.option("user", 'username').option("password", 'password').load()