dse pyspark
Starts the Spark Python shell.
Starts the Spark Python shell.
See the DataFrames documentation for an example of using PySpark, and the PySpark API documentation.
Synopsis
dse pyspark
Syntax conventions | Description |
---|---|
UPPERCASE | Literal keyword. |
Lowercase | Not literal. |
Italics |
Variable value. Replace with a valid option or user-defined value. |
[ ] |
Optional. Square brackets ( [ ] ) surround optional command
arguments. Do not type the square brackets. |
( ) |
Group. Parentheses ( ( ) ) identify a group to choose from. Do
not type the parentheses. |
| |
Or. A vertical bar ( | ) separates alternative elements. Type
any one of the elements. Do not type the vertical bar. |
... |
Repeatable. An ellipsis ( ... ) indicates that you can repeat
the syntax element as often as required. |
'Literal string' |
Single quotation ( ' ) marks must surround literal strings in
CQL statements. Use single quotation marks to preserve upper case. |
{ key:value } |
Map collection. Braces ( { } ) enclose map collections or key
value pairs. A colon separates the key and the value. |
<datatype1,datatype2> |
Set, list, map, or tuple. Angle brackets ( < > ) enclose
data types in a set, list, map, or tuple. Separate the data types with a comma.
|
cql_statement; |
End CQL statement. A semicolon ( ; ) terminates all CQL
statements. |
[ -- ] |
Separate the command line options from the command arguments with two hyphens (
-- ). This syntax is useful when arguments might be mistaken for
command line options. |
' <schema> ... </schema>
' |
Search CQL only: Single quotation marks ( ' ) surround an entire
XML schema declaration. |
@xml_entity='xml_entity_type' |
Search CQL only: Identify the entity and literal value to overwrite the XML element in the schema and solrconfig files. |
This command takes no arguments.