Selecting provides all the properties typically seen in the Manage Stages dialog for your input. The special value,, will create a stage "on the fly" for use solely within this component. Warning: This table will be recreated and will drop any existing table of the same name. For more information on using multiple schemas, see this article. The special value,, will use the schema defined in the environment. Select one or more columns to be designated as the table's primary key.Ĭhoose a Snowflake warehouse that will run the load.Ĭhoose a database to create the new table in. Standard: The data will be staged on an S3 bucket before being loaded into a table. Set a numeric value to limit the number of rows that are loaded.Ĭhoose between using a standard table or an external table.Įxternal: The data will be put into an S3 bucket and referenced by an external table. Use the defined filters in combination with one another according to either And or Or. Note: Not all data sources support all comparators, meaning that it is likely that only a subset of the above comparators will be available to choose from. The Null operator matches only null values, ignoring whatever the value is set to. The "Like" operator allows the wildcard character to be used at the start and end of a string value to match a column. "Equal to" can match exact strings and numeric values, while other comparators, such as "Greater than" and "Less than", will work only with numerics. Possible comparators include: "Equal to", "Greater than", "Less than", "Greater than or equal to", "Less than or equal to", "Like", "Null". Not: Reverses the effect of the comparison, so "Equals" becomes "Not equals", "Less than" becomes "Greater than or equal to", etc.Ĭhoose a method of comparing the column to the value. Is: Compares the column to the value using the comparator. The available input columns vary depending upon the data source. The columns available are dependent upon the data source selected. (This Property is only available in Advanced Mode)Ĭhoose one or more columns to return from the query. Treat collections as table names, and fields as columns. Manual setup is not usually required, since sensible defaults are assumed. The available parameters are explained in the Data Model. The URL of the Splunk server from which data will be called.Ī JDBC parameter supported by the Database Driver. Users have the option to store their password inside the component however, we highly recommend using the Password Manager feature instead. Insert the corresponding Splunk login password. The available fields and their descriptions are documented in the Splunk Data Model. In most cases, this will be sufficient.Īdvanced: This mode will require you to write an SQL-like query to call data from Splunk. SELECT FROM WHERE < 'DD/MM/YYYY 00:00:00'Īn SQL query in Advanced Mode such as this one enables users to access any data and columns outside the default time range that the user specified when they created the report in Splunk.Īlternatively, users can create a report over all time periods, thus returning all data as a default setting.īasic: This mode will build a query for you using settings from the Data Source, Data Selection, and Data Source Filter parameters. In Advanced Mode, however, users can specify the actual columns by name in an SQL SELECT query. As such, Basic Mode will not return columns for the data if no data exists in the report from the default time range. However, only columns that are present in the default time range are returned. Using a WHERE filter (available in both Basic and Advanced Mode within Matillion ETL), users can specify a time range that will override the default time range, enabling the user to view data from outside the default time range. If, however, the report has no data from the last 30 days, then no data will be returned. This selected time range is used by default when querying the report.įor example, if the chosen time range is 30 days, selecting all data from the report will only actually return the data from within the last 30 days. Note: When a user creates a report in the Splunk portal, the user must select a time range. Do not modify the target table structure manually. Setting the Load Option "Recreate Target Table" to "Off" will prevent both recreation and truncation. Otherwise, the target table is truncated. If the target table undergoes a change in structure, it will be recreated. Warning: This component is potentially destructive. The Splunk Query component integrates with the Splunk API to retrieve data from a Splunk server and load that data into a table.
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