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Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
Group functions (g_functions)
Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
Miscellaneous
g_md5sum(G;S;O;X)
Returns the MD5 hash of data for each group within a given column.

Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
- All 1010data Functions
  1010data provides a whole range of functions that can provide information and act on your data.
- Time/Date functions
  The time/date functions are vector functions that operate on columns containing time-related data and return specific information about the date/time for each row.
- Group functions (g_functions)
  Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
  - Using g_functions
    Provides an overview of basic functionality of g_functions in 1010data.
  - Creating a selection column
    All g_functions contain an optional S parameter, or a selection column, to tell the g_function whether to include or exclude a row in its calculations.
  - Summarizations
  - Statistics
  - Time and order
  - Conditional
  - Modeling
  - Matrix functions
  - Signal processing
  - Miscellaneous
    - g_chase(G;S;X;Y;K;D)
      Returns a value indicating whether, in a hierarchy of linked nodes, a particular node is reachable from an initial selection of nodes; or, optionally, the smallest number of hops it would take to reach that node from the initial selection.
    - g_linrecur(G;S;O;T;N;X;M;K)
      Multivariate linear recurrence relations of arbitrary order
    - g_markov(G;S;O;T;H;D;M)
      Returns the results of running a Monte Carlo Markov-chain simulation within a given group.
    - g_md5sum(G;S;O;X)
      Returns the MD5 hash of data for each group within a given column.
    - g_pack(G;S;O;X;N;A)
      Returns the bin assignment resulting from applying the specified bin packing algorithm for each value in the given column.
- Math functions
  Math functions are vector functions that perform mathematical operations on one or more columns and return a column of results based on the operation.
- Matrix functions
- Categorization functions
  Categorization functions are vector functions that organize data and determine logical groupings. These functions can be used for conditionalizing results and/or bucketing value ranges.
- String functions
  String functions are vector functions that manipulate vectors of strings to provide information about a string or substring, concatenate and split strings, or transform strings based on specified criteria.
- List functions
  List functions are scalar functions that return lists, subsets of lists, and combinations of lists, among other functionality. Lists, along with packages, are compound scalar data types that facilitate programmatic interaction with scalar data values and variables.
- Data-handling functions
  Data-handling functions are vector functions that return a hash value based on an input column or columns.
- Row functions
  Row functions are vector functions that return computational outputs for row inputs, as opposed to column outputs. Row inputs are defined as a space- or comma-separated list of column names.
- SQL compatibility functions
  SQL compatibility functions are functions that treat null values as SQL nulls.
- Financial functions
- System functions
  System functions are special functions in 1010data that return information about users, tables, and other system objects.
- Object functions
  The object functions can be used to check the existence, type, and accessibility of objects such as folders, tables, and queries on the 1010data Insights Platform.
- Miscellaneous functions
  This category of functions contains special functions that don't neatly fit into other categories of functions.

`g_md5sum(G;S;O;X)`

Returns the MD5 hash of data for each group within a given column.

Syntax

g_md5sum(G;S;O;X)

Input

Argument	Type	Description
`G`	any	A space- or comma-separated list of column names Rows are in the same group if their values for all of the columns listed in `G` are the same. If `G` is omitted, all rows are considered to be in the same group. If any of the columns listed in `G` contain N/A, the N/A value is considered a valid grouping value.
`S`	integer	The name of a column in which every row evaluates to a 1 or 0, which determines whether or not that row is selected to be included in the calculation If `S` is omitted, all rows will be considered by the function (subject to any prior row selections). If any of the values in `S` are neither 1 nor 0, an error is returned.
`O`	integer	A space- or comma-separated list of column names that determine the row order within a particular group If `O` is omitted, the order is the current display order of the table. If any of the values in `O` are N/A, an error is returned.
`X`	any simple type	A column name

Return Value

For every row in each group defined by G (and for those rows where S=1, if specified), g_md5sum returns a text value representing the 32-digit hexadecimal number that corresponds to the MD5 hash (checksum) of the group in the order specified by O (or by the current display order of the table, if O is omitted).

Sample Usage

<base table="pub.doc.samples.ref.func.g_func_time_series_sample_usage"/>
<willbe name="g_md5sum_1" value="g_md5sum(state;include;order;value)"/>
<willbe name="g_md5sum_2" value="g_md5sum(state city;include;order;value)"/>