pyspark-mysql.sh

?

jdbcDF = spark.read \
  .format("jdbc") \
  .option("url", "jdbc:mysql://relational.fit.cvut.cz/ccs?serverTimezone=UTC") \
  .option("driver", "com.mysql.jdbc.Driver") \
  .option("dbtable", "transactions_1k") \
  .option("user", "guest") \
  .option("password", "relational") \
  .load()

jdbcDF.createOrReplaceTempView("transactions")
trans = spark.sql("select * from transactions limit where Amount > 20")
trans.count()

tdf = trans.select("*").toPandas()
tdf.head()

https://github.com/welly87/spark-load/blob/master/load_finance_data.scala

SELECT * FROM welly.transactions_1k;

CREATE EXTERNAL TABLE 001_andi.transactions_1k
STORED AS KUDU
TBLPROPERTIES (
  'kudu.table_name' = 'transactions_1k'
);

CREATE EXTERNAL TABLE welly.transactions_1k
STORED AS KUDU
TBLPROPERTIES (
  'kudu.table_name' = 'transactions_1k'
);

CREATE EXTERNAL TABLE welly.customers
STORED AS KUDU
TBLPROPERTIES (
  'kudu.table_name' = 'customers'
);

CREATE EXTERNAL TABLE welly.gasstations
STORED AS KUDU
TBLPROPERTIES (
  'kudu.table_name' = 'gasstations'
);

CREATE EXTERNAL TABLE welly.products
STORED AS KUDU
TBLPROPERTIES (
  'kudu.table_name' = 'products'
);

https://github.com/hackathonBI/CCS

https://github.com/hackathonBI/CCS/blob/master/Tasks.md

!pip install impyla

from impala.dbapi import connect
from impala.util import as_pandas

conn = connect(host='178.128.112.105', port=21050) 
cursor = conn.cursor()
cursor.execute('SELECT * FROM welly.transactions_1k LIMIT 100')
df = as_pandas(cursor)

df.head()