azure-synapse

insert on synapse DW in ssms

淺唱寂寞╮ 提交于 2021-02-10 15:12:17
问题 simple insert code but i keep getting syntax errors the values lines have a value for each column in the table, it only has 3 columns, i've tried removing the comma, tried using semi colon tried nothing after closing parent, tried explicitly stating column name before values nothing works on this simple bit of code 回答1: Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) does not support the INSERT ... VALUES clause for more than a single row. Simply convert these into a

insert on synapse DW in ssms

非 Y 不嫁゛ 提交于 2021-02-10 15:11:04
问题 simple insert code but i keep getting syntax errors the values lines have a value for each column in the table, it only has 3 columns, i've tried removing the comma, tried using semi colon tried nothing after closing parent, tried explicitly stating column name before values nothing works on this simple bit of code 回答1: Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) does not support the INSERT ... VALUES clause for more than a single row. Simply convert these into a

Azure Databricks to Azure SQL DW: Long text columns

﹥>﹥吖頭↗ 提交于 2021-01-27 08:21:53
问题 I would like to populate an Azure SQL DW from an Azure Databricks notebook environment. I am using the built-in connector with pyspark: sdf.write \ .format("com.databricks.spark.sqldw") \ .option("forwardSparkAzureStorageCredentials", "true") \ .option("dbTable", "test_table") \ .option("url", url) \ .option("tempDir", temp_dir) \ .save() This works fine, but I get an error when I include a string column with a sufficiently long content. I get the following error: Py4JJavaError: An error

Partitioning Data in SQL On-Demand with Blob Storage as Data Source

独自空忆成欢 提交于 2020-12-15 07:16:07
问题 In Amazon Redshift there is a way to create a partition key when using your S3 bucket as a data source. Link. I am attempting to do something similar in Azure Synapse using the SQL On-Demand service. Currently I have a storage account that is partitioned such that it follows this scheme: -Sales (folder) - 2020-10-01 (folder) - File 1 - File 2 - 2020-10-02 (folder) - File 3 - File 4 To create a view and pull in all 4 files I ran the command: CREATE VIEW testview3 AS SELECT * FROM OPENROWSET (