importorg.apache.spark.sql.SparkSessionvalspark=SparkSession.builder().appName("ReadDataFromMySQL").getOrCreate()valjdbcDF=spark.read.format("jdbc").option("url","jdbc:mysql://hostname:port/database").option("u
/bin/bashMYSQL_CMD="mysql -hxxx -Pxxx -uxxx -pxxx"DATABASE_REG="^xdb_test_([0-9]|[1-9][0-9])$"# db_test_0-db_test_99分库TABLE_REG="^xtb_test_[0-9]{10}$"# 按租户分表file="data.txt"$MYSQL_CMD-NB-e"SHOW DATABASES"|whilereadDATABASEdoif[["x$DATABASE"=~$DATABASE...
Using PySpark, you can read data from MySQL tables and write data back to them. This means you can pull data from a MySQL database into your PySpark application, process it, and then save the results back to MySQL. This ability to read and write data between PySpark and MySQL helps in ...
frompyspark.sqlimportSparkSession# 创建Spark会话spark=SparkSession.builder \.appName("MySQL to Spark")\.config("spark.jars","path/to/mysql-connector-java.jar")\.getOrCreate()# MySQL JDBC连接属性jdbc_url="jdbc:mysql://localhost:3306/your_database"properties={"user":"your_username","password...
CREATEDATABASE spark_create_adb_db_test; 执行以下语句,创建C-Store表。Spark SQL建表语法详情请参见Spark SQL创建内表。 CREATETABLEspark_create_adb_db_test.test_adb_tbl ( idint, name string COMMENT'test_name', ageint)usingadb TBLPROPERTIES('primaryKey'='id,age','distributeType'='HASH...
from pyspark.sql import SparkSession # 创建 SparkSession spark = SparkSession.builder.appName("ReadMySQL").getOrCreate() # 读取 MySQL 数据 df = spark.read.format("jdbc") \ .option("url", "jdbc:mysql://localhost:3306/mydatabase") \ .option("dbtable", "mytable") \ .option("user"...
df = spark.createDataFrame(data, schema="id LONG, name STRING") df.show() df2.write.format("hologres").option("username","your_username").option("password","your_password").option("endpoint","hologres_endpoint").option("database","test_database").option("table","tb008").save() ...
importorg.apache.spark.sql.SparkSessionvalspark=SparkSession.builder.appName("Create DataFrame").getOrCreate()valdf=spark.read.json("path/to/json/file") df.show() 通过编程方式创建。例如,使用createDataFrame方法: importorg.apache.spark.sql.{Row, SparkSession}importorg.apache.spark.sql.types.{Int...
Once we initialize spark correctly, we can communicate with MySQL server and read table data. Reading Table From MySQL using Spark Let us see how to read entire table from MySQL and create its data frame in Spark. I have employees database and in that employees table on MySQL server. 1...
importorg.apache.spark.sql.SparkSessionimportjava.util.PropertiesobjectReadJdbc{defmain(args:Array[String]):Unit= {valspark =SparkSession.builder.appName("read jdbc").master("local[2]").getOrCreate()valsc = spark.sparkContextvalurl ="jdbc:mysql://hadoop201:3306/databaseName"valuser ="root...