# from the subset of columns number 1,2,5,7 and 16 # there are 15 columns and 32561 rows in the "adult" table This function returns the number of rows and columns. The result of each selection can be partially checked by using the dim() function because at this stage, only metadata has been transferred to R. Instead, you must specify value-based conditions, such as , $ and dimĪ subset of columns, or rows, or both can be specified by using the operator. A limitation is that rows cannot be referenced by their numbers because there is no continuous row numbering on the Netezza system. Column names that are not defined as case-sensitive are transformed to default-case. The following is an example for accessing table “Adult” (case-sensitive) in schema A (not case-sensitive)Ĭolumns in database tables are always treated as case-sensitive in R. In this case, they need to be put into to double quotes. There is currently no support for cross-database access. Both schemas and tables can be case-sensitive. Tables with schemas can be referenced in the same way, using the schema name in addition to the table name.
The nz.ame class implements a number of methods for extracting a subset of its data, gathering meta-info similar to ame, and working with parallel data-processing algorithms. From Version 7.0.3, NPS can be configured to work with schemas. It is the standard output of the majority of data manipulation functions in the Netezza R Library.
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It does not store any data in local memory but rather provides metadata that can be used to determine the correct table subset (columns, or rows, or both) where the user code should run. This pointer can later be used to run data transformations with nzApply, or nzRun, or data mining algorithms. The function nz.ame() creates a pointer to a table on the Netezza system. The most important and frequent construct is the object of the class nz.ame.
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