Laden Sie den Datenrahmen aus pyspark

Question

Ich versuche, mit spark.read.jdbc von PySpark aus eine Verbindung zu MS SQL DB herzustellen

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)')

dann mache ich df.load () und gebe einen Fehler zurück:

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)

Was ist los?

Answer 1

Sie müssen den JDBC-Treiber herunterladen und in Ihrem Spark / Jars-Ordner ablegen.

Für den SQL Server JDBC-Treiber können Sie ihn von herunterladen https://docs.microsoft.com/en-us/sql/connect/jdbc/download-microsoft-jdbc-driver-for-sql-server?view=sql-server-ver15