CLONE在作業完成之後,會將下列計量報告為單一數據列 DataFrame: source_table_size:以位元組為單位複製之源數據表的大小。 source_num_of_files:源數據表中的檔案數目。 num_removed_files:如果要取代數據表,則會從目前的數據表中移除多少個檔案。 num_copied_files:從來源複製的檔案數量(如為淺層複製則顯示 0)...
import dlt @dlt.table def kafka_raw(): return ( spark.readStream .format("kafka") .option("kafka.bootstrap.servers", "kafka_server:9092") .option("subscribe", "topic1") .load() ) SQL SQL 複製 CREATE OR REFRESH STREAMING TABLE kafka_raw AS SELECT * FROM STREAM read_kafka( boot...
DATA_SOURCE_TABLE_SCHEMA_MISMATCH SQLSTATE:42K03 數據源數據表的架構不符合預期的架構。 如果您使用 DataFrameReader.schema API 或建立數據表,請避免指定架構。 資料來源架構: <dsSchema> 預期的架構: <expectedSchema> DATA_SOURCE_URL_NOT_ALLOWED SQLSTATE:42KDB 數據源選項中不允許 JDBC URL,請改為指定 ...
_COPY_INTO_TARGET_FORMAT、DELTA_IDENTITY_COLUMNS_ALTER_NON_DELTA_FORMAT、DELTA_IDENTITY_COLUMNS_NON_DELTA_FORMAT、DELTA_NOT_A_DELTA_TABLE、DELTA_ONLY_OPERATION、DELTA_TABLE_ONLY_OPERATION、DELTA_UNSUPPORTED_SOURCE、DELTA_UNSUPPORTED_STATIC_PARTITIONS、SYNC_METADATA_DELTA_ONLY、UNSUPPORTED_MANAGED_TABLE_...
Load data into a DataFrame from CSV file View and interact with a DataFrame Save the DataFrame Run SQL queries in PySpark See alsoApache Spark PySpark API reference. Define variables and copy public data into a Unity Catalog volume Create a DataFrame with Scala ...
("updates") // Use the view name to apply MERGE // NOTE: You have to use the SparkSession that has been used to define the `updates` dataframe microBatchOutputDF.sparkSession.sql(s""" MERGE INTO delta_{table_name} t USING updates s ON s.uuid = t.uuid WHEN MATCHED THEN UPDATE ...
Finally, you can use this file name to load the new file into a DataFrame. Note that if you want to append the new file to an existing table, you can simply use the mode("append") option when loading the file: df_new.write.format("delta").mode("append").saveA...
user=username&password=pass") .option("dbtable","my_table") .option("tempdir","s3n://path/for/temp/data") .load()//Can also load data from a Redshift queryvaldf:DataFrame=sqlContext.read .format("com.databricks.spark.redshift") .option("url","jdbc:redshift://redshifthost:5439/...
This script first loads the data from the CSV file into a pandas DataFrame. It then plots the 'Close' column against the 'Date' column using matplotlib's `plot()` function. The `figure()` function is used to specify the size of the plot, and `show()` is used to display the plot...
DatasetPerformancecompares the performance of the old RDD API with the new Dataframe and Dataset APIs. These benchmarks can be launched with the commandbin/run --benchmark DatasetPerformance JoinPerformancecompares the performance of joining different table sizes and shapes with different join types. ...