从 PySpark 加载数据帧 [英] Load dataframe from PySpark
本文介绍了从 PySpark 加载数据帧的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试使用 spark.read.jdbc
import os
from pyspark.sql import *
from pyspark.sql.functions import *
from pyspark import SparkContext;
from pyspark.sql.session import SparkSession
sc = SparkContext.getOrCreate()
spark = SparkSession(sc)
df = spark.read \
.format('jdbc') \
.option('url', 'jdbc:sqlserver://local:1433') \
.option('user', 'sa') \
.option('password', '12345') \
.option('dbtable', '(select COL1, COL2 from tbl1 WHERE COL1 = 2)')
然后我执行 df.load() 并返回一个错误:
then I do df.load() and returns an error :
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\spark\spark\python\pyspark\sql\readwriter.py", line 172, in load
return self._df(self._jreader.load())
File "C:\spark\spark\python\lib\py4j-0.10.7-src.zip\py4j\java_gateway.py", line 1256, in __call__
File "C:\spark\spark\python\pyspark\sql\utils.py", line 63, in deco
return f(*a, **kw)
File "C:\spark\spark\python\lib\py4j-0.10.7-src.zip\py4j\protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o42.load.
: java.sql.SQLException: No suitable driver
at java.sql.DriverManager.getDriver(Unknown Source)
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)
怎么了?
推荐答案
您需要下载JDBC驱动程序并将其放入您的spark/jars文件夹中.
You need to download the JDBC driver and put it into your spark/jars folder.
对于 SQL SERVER JDBC 驱动程序,您可以从 https://docs.microsoft.com/en-us/sql/connect/jdbc/download-microsoft-jdbc-driver-for-sql-server?view=sql-server-ver15
For SQL SERVER JDBC driver, you can download it from https://docs.microsoft.com/en-us/sql/connect/jdbc/download-microsoft-jdbc-driver-for-sql-server?view=sql-server-ver15
这篇关于从 PySpark 加载数据帧的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文