spark on mysql
时间: 2023-08-14 10:12:42 浏览: 53
Spark可以通过使用SparkSession对象连接到MySQL数据库。首先,需要使用以下代码初始化SparkSession对象:
```
val spark: SparkSession = SparkSession.builder()
.appName("test")
.master("local\[*\]")
.getOrCreate()
```
然后,可以使用初始化好的SparkSession对象来读取MySQL数据库中的数据。需要设置连接MySQL数据库的相关属性,例如用户名、密码和URL等。以下是一个读取MySQL数据并选择特定列和条件的示例代码:
```
val properties = new Properties()
properties.setProperty("user", "mysqldb")
properties.setProperty("password", "pwd")
val url = "jdbc:mysql://ip:3306/test?characterEncoding=utf8&useSSL=true"
var df = spark.read.jdbc(url, "table1", properties)
.select("name", "age", "sex")
.where("age > 20")
```
另外,如果需要将数据整体写入MySQL数据库,可以使用以下代码:
```
val properties = new Properties()
properties.setProperty("user", "mysqldb")
properties.setProperty("password", "pwd")
val url = "jdbc:mysql://ip:3306/test?characterEncoding=utf8&useSSL=true"
df.write.jdbc(url, "table2", properties)
```
请注意,上述代码中的"ip"应替换为实际的MySQL服务器IP地址,"table1"和"table2"应替换为实际的表名。\[1\]
如果想要使用Java编写连接MySQL数据库的代码,可以使用以下示例代码:
```
public class MysqlReader {
public Dataset<Row> reader(SparkSession sparkSession) {
Dataset<Row> rowDataset = sparkSession.read()
.format("jdbc")
.option("url", url)
.option("dbtable", tableName)
.option("user", userName)
.option("password", passwd)
.option("driver", "com.mysql.cj.jdbc.Driver")
.load();
return rowDataset;
}
}
```
在上述代码中,需要将"url"、"tableName"、"userName"和"passwd"替换为实际的MySQL连接信息。\[2\]
另外,如果想要连接Hive获取数据,可以使用以下代码:
```
def conHive(appName: String): SparkSession = {
SparkSession.builder()
//.master("local\[2\]")
.appName(appName)
.config("spark.sql.broadcastTimeout", "36000")
//.config("spark.default.parallelism", 1000)
.config("hive.exec.dynamici.partition", true)
.config("hive.exec.dynamic.partition.mode", "nonstrict")
.enableHiveSupport()
.getOrCreate()
}
val spark: SparkSession = DBConUtil.conHive("test")
```
上述代码中的"test"应替换为实际的应用程序名称。\[3\]
#### 引用[.reference_title]
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- *2* [Spark读取MySQL数据](https://blog.csdn.net/Aaron_ch/article/details/112056275)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
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