Spark-sqlserver连接 [英] Spark-sqlserver connection

问题描述

我们可以将spark与sql-server连接吗？如果是这样，怎么办？
我是spark的新手，我想将服务器连接到spark并直接从sql-server工作，而不是上传.txt或.csv文件。请帮忙，谢谢。

Can we connect spark with sql-server? If so, how? I am new to spark, I want to connect the server to spark and work directly from sql-server instead of uploading .txt or .csv file. Please help, Thank you.

推荐答案

下面是一些代码段。 DataFrame用于创建表t2和插入数据。 SqlContext用于将t2表中的数据加载到DataFrame中。我在我的spark-default.conf文件中添加了spark.driver.extraClassPath和spark.executor.extraClassPath。

Here are some code snippets. A DataFrame is used to create the table t2 and insert data. The SqlContext is used to load the data from the t2 table into a DataFrame. I added the spark.driver.extraClassPath and spark.executor.extraClassPath to my spark-default.conf file.

//Spark 1.4.1

//Insert data from DataFrame

case class Conf(mykey: String, myvalue: String)

val data = sc.parallelize( Seq(Conf("1", "Delaware"), Conf("2", "Virginia"), Conf("3", "Maryland"), Conf("4", "South Carolina") ))

val df = data.toDF()

val url = "jdbc:sqlserver://wcarroll3:1433;database=mydb;user=ReportUser;password=ReportUser"

val table = "t2"

df.insertIntoJDBC(url, table, true)

//Load from database using SqlContext

val url = "jdbc:sqlserver://wcarroll3:1433;database=mydb;user=ReportUser;password=ReportUser"

val driver = "com.microsoft.sqlserver.jdbc.SQLServerDriver";

val tbl = { sqlContext.load("jdbc", Map( "url" -> url, "driver" -> driver, "dbtable" -> "t2", "partitionColumn" -> "mykey", "lowerBound" -> "0", "upperBound" -> "100", "numPartitions" -> "1" ))}

tbl.show()

要考虑的一些问题是：

确保为端口1433打开了防火墙端口。
如果使用Microsoft Azure SQL Server DB，则表需要主键。某些方法创建了表，但是Spark的代码没有创建主键，因此表创建失败。

Make sure firewall ports are open for port 1433. If using Microsoft Azure SQL Server DB, tables require a primary key. Some of the methods create the table, but Spark's code is not creating the primary key so the table creation fails.

要注意的其他详细信息： https://docs.databricks.com/spark/latest/data-sources/sql- database.html

Other details to take care: https://docs.databricks.com/spark/latest/data-sources/sql-databases.html

源：> https://blogs.msdn.microsoft.com/bigdatasupport/2015/10/22/how-to-allow -spark-to-access-microsoft-sql-server /

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