-
DarkLight
Cloud Storage Load
-
DarkLight

Cloud Storage Load
The Cloud Storage Load Component lets users load data stored on the Google Cloud Storage service into an existing Snowflake table. Many of the configuration settings on this component have sensible defaults, mirroring the defaults provided by Snowflake when that option is not specified
The Cloud Storage Load Component lets users load data stored on the Google Cloud Storage service into an existing BigQuery table. Many of the configuration settings on this component have sensible defaults, mirroring the defaults provided by BigQuery when that option is not specified
Note: This component requires working Google Cloud Storage credentials with "read" access to the source data file(s).
Important Information: External Stages and Metadata
If using an external stage, please be aware of the following information:
- All columns to be included in the load must be included in the Load Columns property, in the correct order and associated with the correct data type. The Create Table component can be used to specify the metadata of the columns.
- The Metadata Fields property will insert metadata columns at the end of the existing table and overwrite the same number of columns unless additional columns are added via the Create Table component..
- The table's data and structure are only accessed at runtime, meaning that additional columns must be added (and data types set) before the job is run.
Snowflake Properties | ||
---|---|---|
Property | Setting | Description |
Name | Text | A human-readable name for the component. |
Stage | Select | Select your stage. To learn more about stages in Matillion ETL, read our Manage Stages guide. |
Storage Integration | Select | Select the storage integration. Storage integrations are required to permit Snowflake to read data from and write to a cloud storage location. Integrations must be set up in advance of selecting them in Matillion ETL. To learn more about setting up a storage integration, read Storage Integration Setup Guide. Note: Storage integrations can be configured to support Amazon S3, Google Cloud Storage, or Microsoft Azure cloud storage regardless of the cloud provider that hosts your Snowflake account. |
Google Storage URL Location | String/Select | Input, or select via the file path tree, the URL of the Google Storage bucket from which to retrieve files. This follows a format such as gs://<bucket-name>/<path>. When a user enters a forward slash character / after a folder name, a validation of the file path is triggered. This works in the same manner as the Go button. |
Pattern | Regex Pattern | A regular expression pattern string that specifies the file names and/or paths to match. Files should be preceded by .*. E.g. .*.file_name.file_type For more information, please refer to the Snowflake documentation. |
Warehouse | Select | Choose a Snowflake warehouse to perform the data load. For more information about warehouses, please refer to the Snowflake documentation. |
Database | Select | Choose a Snowflake database to create the new table in. For more information about databases, please refer to the Snowflake documentation. |
Schema | Select | Choose a Snowflake schema. A Snowflake schema is a logical grouping of database objects such as tables or views. |
Target Table | Select | Choose a target table to load. Warning: This table will be recreated and drop any existing table of the same name upon each run. |
Load Columns | Multiple Select | Choose which columns from your selected target table to load. |
Format | Select | Select the format. |
File Type | Select | Choose the file type for the files you wish to load. Available file types are: AVRO, CSV, JSON, ORC, PARQUET, and XML. Note: Component properties beneath this property will change depending on the chosen file type. Matillion ETL provides settings based on the specific file type. For additional information on file type options, please refer to the Snowflake documentation. |
Compression | Select | Select the compression method if you wish to compress your data. If you do not wish to compress at all, select NONE. The default setting is AUTO. |
Record Delimiter | String | (CSV only) Input a delimiter for records. This can be one or more single-byte or multibyte characters that separate records in an input file. Notes:
|
Field Delimiter | String | (CSV only) Input a delimiter for fields. This can be one or more single-byte or multibyte characters that separate fields in an input file. Notes:
|
Skip Header | Integer | (CSV only) Specify the number of rows to skip. The default is 0. If Skip Header is used, the value of the record delimiter will not be used to determine where the header line is. Instead, the specified number of CRLF will be skipped. For example, if the value of Skip Header = 1, then Matillion ETL will skip to the first CRLF that it finds. If you have set the Field Delimiter property to be a single character without a CRLF, then Matillion ETL skips to the end of the file (treating the entire file as a header). |
Date Format | String | (CSV only) Specify the date format. Snowflake accepts dates in the most common forms, including YYYY-MM-DD and DD-MON-YYYY among others. Additionally, all accepted timestamps are valid inputs for dates. Please refer to the Snowflake documentation for more information about date and time formats. |
Time Format | String | (CSV only) Specify the time format. Snowflake supports a single TIME data type, for storing times in the form of HH:MI:SS. TIME supports an optional precision parameter for fractional seconds, e.g. TIME(3). Time precision ranges between 0 (seconds) to 9 (nanoseconds). The default precision is 9. Please refer to the Snowflake documentation for more information about time and date formats. |
Timestamp Format | String | (CSV only) Specify the timestamp format. Snowflake supports three variations of timestamp: TIMESTAMP_LTZ, TIMESTAMP_NTZ, and TIMESTAMP_TZ. To learn more, please consult the Snowflake documentation. |
Escape | String | (CSV only) Specify a single character to be used as the escape character for field values that are enclosed. Default is NONE. |
Escape Unenclosed Field | String | (CSV only) Specify a single character to be used as the escape character for unenclosed field values only. Default is \\\\. If you have set a value in the property Field Optionally Enclosed, all fields will become enclosed, rendering the Escape Unenclosed Field property redundant, in which case it will be ignored. |
Trim Space | True | False | (CSV only) Specify whether to remove white space from fields (True) or not (False). Default setting is False. |
Field Optionally Enclosed | String | (CSV only) Specify a character used to enclose strings. The value can be NONE, single quote character ('), or double quote character ("). To use the single quote character, use the octal or hex representation (0x27) or the double single-quoted escape (''). Default is NONE. Note: When a field contains one of these characters, escape the field using the same character. For example, to escape a string like this: 1 "2" 3, use double quotation to escape, like this: 1 ""2"" 3. |
Null If | String | Specify one or more strings (one string per row of the table) to convert to NULL values. When one of these strings is encountered in the file, it is replaced with an SQL NULL value for that field in the loaded table. Click + to add a string. |
Error On Column Count Mismatch | True | False | (CSV only) Specify whether to generate an error (True) if the number of delimited columns in an input file does not match the number of columns in the corresponding table. If set to False an error is not generated and the load continues. If the file is successfully loaded in this case:
|
Empty Field As Null | True | False | (CSV only) Specify whether to insert NULL values for empty fields in an input file. Default is True. |
Encoding Type | Select | (CSV only) Select the string that specifies the character set of the source data when loading data into a table. Please refer to the Snowflake documentation for more information. |
Enable Octal | True | False | (JSON only) Select True to enable the parsing of octal values. Default setting is False. |
Allow Duplicates | True | False | (JSON only) Select True to allow duplicate object field names. Default setting is False. |
Strip Outer Array | True | False | (JSON only) Select True to instruct the JSON parser to remove outer brackets. Default setting is False. |
Strip Null Values | True | False | (JSON only) Select True to instruct the JSON parser to remove any object fields or array elements containing null values. Default setting is False. |
Ignore UTF8 Errors | True | False | (JSON, XML only) Select True to replace any invalid UTF-8 sequences with Unicode characters. If set to False, UTF-8 errors will not produce an error in the job run. Default setting is False. |
Preserve Space | True | False | Select True for the XML parser to preserve leading and trailing spaces in element content. Default setting is False. |
Strip Outer Element | True | False | Select True for the XML parser to strip out any outer XML elements, exposing 2nd level elements as separate documents. Default setting is False. |
Disable Snowflake Data | True | False | Select True if you wish the XML parser to not recognise Snowflake semi-structured data tags. Default setting is False. |
Disable Auto Convert | True | False | Select True to specify that the XML parser will disable automatic conversion of numeric and Boolean values from text to native representations. Default setting is False. |
On Error | Select | Decide how to proceed upon an error.
Default setting is Abort Statement. |
n | Integer | Specify the number of errors or the percentage of errors required for Matillion ETL to skip the file. Note: This parameter only accepts integer characters. % is not accepted. Specify percentages as a number only. |
Size Limit (B) | Integer | Specify the maximum size, in bytes, of data to be loaded for a given COPY statement. If the maximum is exceeded, the COPY operation discontinues loading files. For more information, please refer to the Snowflake documentation. |
Purge Files | True | False | Select True to purge data files after the data is successfully loaded. Default setting is False. |
Truncate Columns | True | False | When True, Matillion ETL will automatically truncate strings to the target column length. When False, the COPY statement produces an error if a loaded string exceeds the target column length. Default setting is False. |
Force Load | True | False | Select True to load all files, regardless of whether they have been loaded previously and haven't changed since they were loaded. Default setting is False. Note: When set to True, this option reloads files and can lead to duplicated data in a table. |
Metadata Fields | Column Selector | Snowflake metadata columns available to include in the load. Snowflake automatically generates metadata for files in internal stages (i.e. Snowflake) and external stages (Google Cloud Storage, Microsoft Azure, or Amazon S3). This metadata is "stored" in virtual columns. These metadata columns are added to the staged data, but are only added to the table when included in a query of the table. For more information, read Querying Metadata for Staged Files. This property is only available when an external stage is selected. To manage stages, click the Environments panel in the bottom-left, then right-click a Matillion ETL environment, and click Manage Stages. To learn more, read Manage Stages. |
BigQuery Properties | ||
---|---|---|
Property | Setting | Description |
Name | Text | A human-readable name for the component. |
Project | Select | Select the BigQuery project in which to find or create the target table. |
Dataset | Select | Select the table dataset. The special value, [Environment Default], will use the dataset defined in the environment. For more information on Google Cloud Datasets, visit the official documentation. |
Target Table | Select | Choose a target table to load. Warning: This table will be recreated and drop any existing table of the same name upon each run. |
Load Columns | Multiple Select | Choose which columns from your selected target table to load. |
Google Storage URL Location | String/Select | Input, or select via the file path tree, the URL of the Google Storage bucket from which to retrieve files. This follows a format such as gs://<bucket-name>/<path>. When a user enters a forward slash character / after a folder name, a validation of the file path is triggered. This works in the same manner as the Go button. |
File Format | Select | Select the type of expected data to load. Some file formats may require additional formatting, which is explained in the GCP Documentation. Available options are: AVRO, Cloud Datastore Backup, CSV, JSON (New line delimited), ORC, PARQUET (see here for details). Component properties will change to reflect the choice made here, and Matillion ETL will provide options based on the specific file type. |
Write Preference | Select | Select your write preference:
|
Number of Errors Allows | Integer | The maximum number of individual parsing errors that cause the whole load to fail. Values up to this will be substituted as null values.This value defaults to 0. |
Ignore Unknown Values | Select | Yes: Accept rows that contain values that do not match the schema. Unknown values are ignored. Note: Will ignore extra values at the end of a line for CSV files. No: Omit any rows with invalid values. |
Delimiter | String | Specify the delimiter that separates columns. The default is a comma (,). A [TAB] character can be specified as "\ ". |
CSV Quoter | String | Quote character to use to enclose records. Default (field left blank) is double-quote ("). To indicate no quote character at all, use an empty string. |
Encoding | Select | The encoding type to use on the output data. This defaults to UTF-8. |
Header rows to skip | Integer | The number of rows at the top of the file to ignore - defaults to 0. |
Allow Quoted Newlines | Select | Yes: Allow a CSV value to contain a newline character when the value is encased in quotation marks. No: A new line character, regardless of quotations, is always considered a new row. |
Allow jagged rows | Select | Yes: Missing values are treated as "null" but accepted. No: Rows with missing data are treated as bad records. Note: A bad record will count toward the "Maximum Errors" count. |
Null Marker | String | The String value which represents the NULL value in the text file. |