使用pyspark連接mysql數(shù)據(jù)庫代碼如下

spark_conf = SparkConf().setAppName("MyApp").setMaster("local")
 
spark = SparkSession.builder.config(conf=spark_conf).getOrCreate()
 
url = "jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF-8&useSSL=false"
table_name = "tab_tf"
properties = {
    "user": "root",
    "password": "root"
}
 
# 讀取 MySQL 數(shù)據(jù)庫中的數(shù)據(jù)
df = spark.read.jdbc(url=url, table=table_name, properties=properties)
# 展示數(shù)據(jù)
df.show()

執(zhí)行時報錯了，錯誤信息如下：

py4j.protocol.Py4JJavaError: An error occurred while calling o32.jdbc.
: java.sql.SQLException: No suitable driver
    at java.sql.DriverManager.getDriver(DriverManager.java:315)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:105)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:105)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:104)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:35)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:32)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:332)
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:242)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:230)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:186)
    at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:257)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)

經(jīng)查詢，是因為spark中缺少連接MySQL的驅動程序，于是乎下載了與自己mysql數(shù)據(jù)庫版本一致的jar包，下載地址：https://downloads.mysql.com/archives/c-j/ 

查詢mysql版本命令：mysql -V

下載完成后，解壓，將mysql-connector-java-8.0.30.jar拷貝到spark安裝目錄的libs中

重新執(zhí)行程序，問題解決，執(zhí)行結果如下：

參考：py4j.protocol.Py4JJavaError: An error occurred while calling o32.jdbc.

到此這篇關于pyspark連接mysql數(shù)據(jù)庫報錯的解決的文章就介紹到這了,更多相關pyspark連接mysql內容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家！

最新評論