WebNov 27, 2024 · 1 Answer Sorted by: 0 You have not used string interpolation in correct place. As suggested by @Lamanus in comment section change your code as shown below. val q1 = s"select * from empDF1 where salary > $ {sal}" scala> val df = spark.sql (q1) Share Improve this answer Follow answered Nov 27, 2024 at 15:26 Mohana B C 4,811 1 8 28 WebJan 24, 2024 · When I tried to use nvarchar () I am getting this error ''\nDataType nvarchar is not supported. (line 1, pos 3)\n\n== SQL ==\nId nvarchar\n---^^^\n' Moreover when I used the code .format ("jdbc") with out .option ("createTableColumnTypes", " ") it throws the error ' com.microsoft.sqlserver.jdbc.SQLServerException: The statement failed.
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WebOct 17, 2024 · Struct datatype is not supported in databricks Error in SQL statement: ParseException: DataType struct is not supported. (line 1, pos 573) – Vidhya Oct 17, 2024 at 10:09 According to the documentation, the function ST_Envelope takes as argument geometry data type. But I don't understand what data type is returned. WebMar 12, 2024 · Data source. OPENROWSET function in Synapse SQL reads the content of the file(s) from a data source. The data source is an Azure storage account and it can be explicitly referenced in the OPENROWSET function or can be dynamically inferred from URL of the files that you want to read. The OPENROWSET function can optionally … rohff 2000
Databricks Error in SQL statement: ParseException: …
WebOct 22, 2024 · A string representation of datetime is human readable, but then it lost the property of datetime and will require further conversion back into datatime for date/time processing, such as min (), max (), and capturing the values into java.util.Date. -- Hive/SparkSQL code select current_date asDate, unix_timestamp () asUnixTimestamp, … WebNov 11, 2015 · The column is of datatype int and is non-nullable, which meets the requirements mentioned in the error message. This code was inherited from an outside vendor, who stopped supporting their product. Since the product was considered important to my company, they arranged to get the source code so we could support it ourselves. WebAug 31, 2024 · Something that does not require writing a case for every type in org.apache.spark.sql.types If I do this for example: df = df.withColumn ("col_name", lit (null).cast (org.apache.spark.sql.types.StringType)) It works as intended, but I have the type stored as a string, var the_type = "StringType" roh fert