This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
"Error: Input Data (1): Error opening connect string: Microsoft OLE DB Provider for SQL Server: [DBNETLIB][ConnectionOpen (SECDoClientHandshake()).]SSL Security error.\08001 = 18" after upgrading SQL Server to 2019 and disabling TLS 1.0 and 1.1
Error while connecting to MySQL, from the Input Data Tool - Error: Input Data (13): Error SQLDriverConnect: [Microsoft][ODBC Driver Manager] The specified DSN contains an architecture mismatch between the Driver and Application.
Dynamically adding data into your workflows is one of the really great things about Alteryx. Having the ability to be able to adjust what you are bringing into the tool can create tremendous efficiencies. So how do we go about doing this? One example is to use the Dynamic Input Tool. This tool allows you to make adjustments to your SQL queries, Stored Procedures or bring in files with the same schema.
Configuration of the Dynamic Input Tool-
Input Data Source Template - Connect to your data and choose the tables and fields or files you would like to bring into the workflow. This is a “Template”, so you are able to change this template with the configuration of the tool, but this “Template” is necessary to bring in the data.
Note: if your data has different schemas then you want to either fix the schema or create a batch macro that will ignore schema and either load data in by name or position
Read a List of Data Sources - This section is used for bringing in a list of files, changing table names, or adding Suffix and Prefixes to your Table Names. If you are bringing in Excel files, the sheet name will need to be added to the Full Path using a Formula Tool.
Change File/Table Name: Takes the specified database table name and changes it based on the values in the specified field.
Change Entire File Path: Takes the entire specified database input path and changes it based on the values in the specified field.
Append Suffix to File/Table Name: Takes the specified database table name and appends a suffix to it. The suffix is the value in the specified field.
Prepend Prefix to File/Table Name: Takes the specified database table name and prepends a prefix to it. The prefix is the value in the specified field.
Modify SQL Query:
Pass field to the Output: This will allow you to pass fields that you may want to use downstream that will append to your data.
Replace a Specific String: This modification is great if you want to pull different data from your tables or fields. You can also use this to update the sheet name from an Excel spreadsheet if you are querying a specific range of cells. To use this modification you will want an input connection that has a field that you want to replace the specific String with. In the replacement window you will remove any text that you do not want to be replaced, then choose which field will replace the string.
SQL: Update Where Clause: This works similar to the replace string, the difference is that the Where clause will be the only portion that you will be able to update. The Where clause will appear in the Update window. You will be able to specify which portion you would like to update and from what incoming field. Please note that the Where portion of the statement will only show. If you have a statement that has Where (the clause) AND (another clause), the Where (the clause) will only appear in the window.
SQL: Spatial Filter: Does you database have latitude and longitude coordinates for stores, business, or customers? Have you built polygons for trade areas or customer profiling and you want to see who in your database fits into these polygons? This is the filter you will want to use. The filter will determine whether or not your data falls within the bounding rectangle of the polygon. Allowing you to look at the data contained within the polygon only.
SQL: Updated Store Procedure: Stored Procedures in SQL are great, but sometimes you need to make small adjustments to them. This Update will allow you to choose the Parameter to update and use a field from your data to replace a specific part of the Stored Procedure.
Characters that are not on a standard English keyboard may need translation into Unicode or a language-specific code page for Designer and database drivers to read them correctly.
Characters with incorrect encoding will often appear as boxes or question marks in the Designer Results screen and error messages.
Unicode characters take more bytes than English ASCII characters. Changing the column type and increasing the column size may be needed. In Designer, the column size is the number of characters, not the number of bytes.
Let's talk about how to replicate the WHERE EXISTS functionality of SQL within Alteryx.
Example 1: UNION - Add rows from table#1 to table#2 if the key value of table#1 does not exist in table#2. If desired, the combined data set could be joined with a third data set, but only if the key value in table#3 does not exist with only one key column.
Example 2: SELECT/UPDATE records from table #1 based on the contents of table #2. The statement below generates the names of customers who had orders during 2016.
from customers c1
where 1 = 1
and exists (select *
from customer_orders c2
where 1 = 1
and c1.customer_number = c2.customer_number
and c2.order_year = 2016
The SQL EXISTS condition is used in combination with a subquery and is considered to be met if the subquery returns at least one row. It can be used in a SELECT, INSERT, UPDATE, or DELETE statement.
The syntax for the EXISTS condition in SQL is: WHERE EXISTS (subquery)
The subquery is a SELECT statement. If the subquery returns at least one record in its result set, the EXISTS clause will evaluate to true and the EXISTS condition will be met. If the subquery does not return any records, the EXISTS clause will evaluate to false and the EXISTS condition will not be met.
Example 1: Take the unmatched records from the source you are appending data from out of a join between the two data sets and union it back to the data set you are appending to.
Example 2: Create your "look up list" out of a filter for whatever you set as the condition. In this example, a year that is in the data. Join the filtered data back with the other data source. Deselect the data that comes from the filtered source.
Please see the attached workflow: Where Exists Question.yxmd.