You could probably use this if you really wanted ['Product' [UnitPriceRank]]] Here is an extract from the MS DAX reference. -- syntax alter table table_name rename column old_name to new_name; -- rename product_category column in products table alter table products rename column products_category to products; Your function definition should be: SELECT DAY ( de1. The nesting of REPLACE function in recent version of the SQL Server product can go to hundreds of levels. You can then use Snowflake's functions for semi-structured data to parse the data. How to escape Characters - Snowflake Inc. That said, if you use single quotes for this, then you will need top escape any single quotes inside the body. Replacing illegal characters via regexp_replace. This is a simple post that helps to create and test some non-UTF-8 characters for us. ordinal_position - number of this column in the table. Where you can manage your account and its data. Using a REPLACE() function. Query below returns a list of all columns in a specific table in Snowflake database. ) ] upload any data with special characters in Snowflake REGEXP Snowflake Documentation How to parse special characters in PARSE_JSON function Now I want to rename the column names in such a way that if there are dot and spaces replace them with underscore and if there are () and {} then remove them from the column names. What I am doing wrong? Also, Snowflake supports specifying an empty string for the collation specification (e.g. This command can be used to list the columns for a specified table/view/schema/database (or the current schema/database for the session), or your entire account. You have the right to make changes in your account and post the latest updates on your wall. You might also need to trim the result to take care of any spaces that remain. Query select ordinal_position as position, column_name, data_type, case when character_maximum_length is not null then character_maximum_length else numeric_precision end as max_length, is_nullable, column_default as default_value from information_schema.columns where table_schema ilike 'schema' -- put your . Snowflake, we use the "ALTER TABLE RENAME COLUMN" command. Put System.out.println () calls in them with your jobName and date (with time) so that later on you always have a log output that shows the start and the end of your job . There are too many special characters in this column and it's impossible to treat them all. Place tJava components at the start and at the end of your jobs. is_identity - identity attribute for the column. Share. When accessing these objects from SQL-API using the default double-quotes, results in an error as follows: Column names in Snowflake: Must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_) Must begin with a letter or underscore; Must be less than the maximum length of 251 characters. Query below finds all tables that have 'N_NAME' column. Syntax: alter table table_name1 rename column old_name1 to new_name1. spaces brackets ( ()) and parenthesis {}. in their names. is_nullable - nullability attribute for the column. With this setting, all alphabetical characters in identifiers are stored and resolved as uppercase characters. March 25, 2022 Issue There are scenarios when the Table names or Column names will have special characters, numbers, or spaces in the name identifier as per the business or customer-specific requirements. data_type - name of the data typ. ]<table_name> [ ( <col_name> [ , <col_name> . ] description - description of column. ) [ ESCAPE <escape_char> ] The LIKE ANY function returns input string matches any of the patterns. First, let's create a few sample records that contain special characters intertwined with "correct" data: For this, we are going to refer to w3 org's list of special characters here. Refer to Snowflake's documentation for more info. numeric_scale - scale of numeric columns. REPLACE ( <string> , <pattern> [ , <replacement> ] ) Where, string - is the input string or an expression. Hi all I have situation that there are special characters in more than 1 column in source file , i already handled for 1 column using tReplace component but in this component we need to take columns manually and need to mention what to be replace with original one. Rename a Column in Snowflake. SELECT SPLIT_PART (column,'-',1)::varchar. COLLATE '' ), which is equivalent to specifying no collation for the column. How to Rename a Column. If you are trying to use this code to create a column in a table then you can't use brackets in the column name. In this topic, the table whose rows are preserved is called the "outer" table, and the other table is called the "inner" table. If no COLLATE clause is specified for a column, Snowflake uses the default, which compares strings based on their UTF-8 character representations. column_name - column name. Seems like that's what you're looking for. When you specify an outer join with (+), the WHERE clause applies (+) to each join column of the table that is "inner" (defined below). When accessing these objects from SQL-API using the default double-quotes, results in an error as follows: See also: DESCRIBE TABLE COLUMNS View (Information Schema) Syntax Informally, when using TABLE (.) alter table products1 rename column products_category1 to products1; You can provide multiple patterns. Note The result of an outer join contains a copy of all rows from one table. SELECT REPLACE(@str, '#', '' ) /* Data load with transformation */ COPY INTO [<namespace>. <string> LIKE ANY (<pattern1> [, <pattern2> . ] Thanks, Nazee Below you can see my query that I used to import data to Snowflake Query create or replace table BUSINESS_ANALYTICS.INSOURCE.MS_CLEAN_NAMES_MS (cust_nbr VARCHAR (40), div_nbr Number (4,0), CUST_NM_CLEAN VARCHAR (150)) But, in Snowflake, you can use string function and regular expression function to remove newline character. Removing newline (\n), carriage return (\r) or any special characters is the common pre-processing step before storing records in any relational databases. in Snowflake. Thanks, Nazee Below you can see my query that I used to import data to Snowflake Query create or replace table BUSINESS_ANALYTICS.INSOURCE.MS_CLEAN_NAMES_MS (cust_nbr VARCHAR (40), div_nbr Number (4,0), CUST_NM_CLEAN VARCHAR (150)) The Snowflake LIKE ANY allows case-sensitive matching of an input string based on comparison with one or more patterns. See also tables that don't have a column with specific name.. Query select t.table_schema, t.table_name from information_schema.tables t inner join information_schema.columns c on c.table_schema = t.table_schema and c.table_name = t.table_name where t.table_type = 'BASE TABLE' and column_name ='N_NAME' order by t.table_schema, t.table_name; Column names. Many databases supports built-in functions to work with special characters. This is what I am trying with no success unfortunately: SELECT MBR_ID, MONTH, REGEXP_REPLACE (COLUMN_NAME, ' [/&- (,) ()]+', '_') as COLUMN_NAME FROM TABLE_NAME SHOW COLUMNS Lists the columns in the tables or views for which you have access privileges. to construct a table literal, you can think of TABLE () as like a table function. To configure Snowflake to treat alphabetic characters in double-quoted identifiers as uppercase for the session, set the parameter to TRUE for the session. T Meltano target-snowflake Merge requests !13 Fix special characters in Snowflake identifiers causing SQL compilation errors Merged Yannis Roussos requested to merge 8-fix-merge-breaking-when-special-characters-in-columns into master 3 years ago Overview 4 Commits 1 Pipelines 0 Changes 3 The problem was explained in detail in #8 (closed) Example. this is very lengthy process if we got multiple columns with multiple special characters snowflake special characters is official emoji page/portal. Following is the syntax of Snowflake LIKE ANY. Syntactically, TABLE () looks like a function. pattern - This is the substring that you want to replace. Improve this answer. Table literals appear in the FROM clause of a SQL statement and consist of either the table name, or a SQL variable or API bind variable in place of the table name. March 25, 2022 Issue There are scenarios when the Table names or Column names will have special characters, numbers, or spaces in the name identifier as per the business or customer-specific requirements. Here each REPLACE is used to change one unwanted character to a blank space or SPACE(0). Here are all of the best tips that I have learnt over the last 2 years : 1. max_length - maximum length of the data. Is there a simple way to remove all these special characters (within the entries of <COLUMN_NAME> in below example) and replace with a underscore character? If you have single special character the use the following. Snowflake - find rows with non-UTF8 characters. Hello, I'm trying to strip out some illegal strings from a varchar column using regexp_replace; however it doesn't seem to be working. There are too many special characters in this column and it's impossible to treat them all. The columns have special characters like dot (.) replacement - This is an optional string as a pattern replacement. I would recommend that you use the special $$ text quote mechanism to eliminate the need to escape any characters here. Somewhere in the ~900,000 rows data there are non-UTF8 characters that snowflake's updated drivers do not support and I can't use Tableau Online to automate extracts from . I have done this This splits your field by the hyphen and then gives you the first piece of it. 2. Hey all, my company uses a combination of aws s3 and snowflake to store and query transaction data from their web store. The snowpipe command embeds the copy statement which can contain a select statement (transformation), and we can use string functions to remove the special character. Snowflake REPLACE Syntax Following is the syntax of replace function. Renaming a column in Snowflake involves using the ALTER TABLE .. RENAME COLUMN command. Special characters It only works when I hardcode the string and not when replacing it with the actual column (attached picture example). To rename the column in .