設定SQL Server 的連線 在Databricks Runtime 11.3 LTS 和更新版本中,您可以使用 關鍵詞來使用sqlserver內含的驅動程式來連線到 SQL Server。 使用 DataFrame 時,請使用下列語法: Python Python remote_table = (spark.read .format("sqlserver") .option("host","hostName") .option("port","port")# optional...
使用半結構化資料做為 VARIANT 類型的內建 Apache Spark 支援現在可在 Spark DataFrame 和 SQL 中使用。 請參閱<查詢變化資料>。公開預覽中 Delta Lake 的變化類型支援您現在可以使用 VARIANT,將半結構化資料儲存在 Delta Lake 支援的資料表中。 請參閱<Delta Lake 中的變化支援>。
3,从SQL查询中创建DataFrame 从一个给定的SQL查询或Table中获取DataFrame,举个例子: df.createOrReplaceTempView("table1") #use SQL query to fetch data df2 = spark.sql("SELECT field1 AS f1, field2 as f2 from table1") #use table to fetch data df2 = spark.table("table1") 1. 2. 3. 4....
Specify a column as a SQL query Learn how to use the Apache SparkselectExpr()method. This is a variant of theselect()method that accepts SQL expressions and return an updated DataFrame. This method allows you to use a SQL expression, such asupper. ...
还可使用Lakehouse Federation在查询中使用联机表。 使用 Lakehouse Federation 时,必须使用无服务器 SQL 仓库来访问联机表。 仅支持读取操作 (SELECT)。 此功能仅用于交互式或调试目的,不应用于生产或任务关键型工作负载。 使用Databricks UI 创建联机表是一个单步过程。 只需从目录资源管理器中选择增量表,然后选择“...
load() // Load data from an Azure Synapse query. val df: DataFrame = spark.read .format("com.databricks.spark.sqldw") .option("url", "jdbc:sqlserver://<the-rest-of-the-connection-string>") .option("tempDir", "abfss://<your-container-name>@<your-storage-account-name>.dfs.core....
20] Table old.things is migrated to brand.new.stuff in Unity Catalog # ucx[cannot-autofix-table-reference:+3:4:+3:20] Can't migrate table_name argument in 'spark.sql(query)' because its value cannot be computed table_name = f"table_{index}" for query in ["SELECT * FROM old....
createDataFrame(data, schema=None, samplingRatio=None, verifySchema=True) 3,从SQL查询中创建DataFrame 从一个给定的SQL查询或Table中获取DataFrame,举个例子: df.createOrReplaceTempView("table1")#use SQL query to fetch datadf2 = spark.sql("SELECT field1 AS f1, field2 as f2 from table1")#use ...
()//Can also load data from a Redshift queryvaldf:DataFrame=sqlContext.read .format("com.databricks.spark.redshift") .option("url","jdbc:redshift://redshifthost:5439/database?user=username&password=pass") .option("query","select x, count(*) my_table group by x") .option("tempdir"...
specifying the %sql command in the beginning of the script. With the following scripts, you will be able to create temporary SQL view of the json format data. You could then write SQL statements to query the view just as you would a regular SQL table to retrieve the results in tabul...