A RDataSource implementation which takes a collection of RVecs, which are able to adopt data from Numpy arrays.
This component allows to create a data source on a set of columns with data coming from RVecs. The adoption of externally provided data, e.g., via Numpy arrays, with RVecs allows to read arbitrary data from memory. In addition, the data source has to keep a reference on the Python owned data so that the lifetime of the data is tied to the datasource.
Definition at line 46 of file RNumpyDS.hxx.
Public Member Functions | |
RNumpyDS (PyObject *pyRVecs, std::pair< std::string, ROOT::RVec< ColumnTypes > * >... colsNameVals) | |
~RNumpyDS () | |
const std::vector< std::string > & | GetColumnNames () const |
Returns a reference to the collection of the dataset's column names. | |
std::vector< std::pair< ULong64_t, ULong64_t > > | GetEntryRanges () |
Return ranges of entries to distribute to tasks. | |
std::string | GetLabel () |
Return a string representation of the datasource type. | |
std::string | GetTypeName (std::string_view colName) const |
Type of a column as a string, e.g. | |
bool | HasColumn (std::string_view colName) const |
Checks if the dataset has a certain column. | |
void | Initialise () |
Convenience method called before starting an event-loop. | |
bool | SetEntry (unsigned int slot, ULong64_t entry) |
Advance the "cursors" returned by GetColumnReaders to the selected entry for a particular slot. | |
void | SetNSlots (unsigned int nSlots) |
Inform RDataSource of the number of processing slots (i.e. | |
Public Member Functions inherited from ROOT::RDF::RDataSource | |
virtual | ~RDataSource ()=default |
virtual void | Finalise () |
Convenience method called after concluding an event-loop. | |
virtual void | FinaliseSlot (unsigned int) |
Convenience method called at the end of the data processing associated to a slot. | |
template<typename T > | |
std::vector< T ** > | GetColumnReaders (std::string_view columnName) |
Called at most once per column by RDF. | |
virtual std::unique_ptr< ROOT::Detail::RDF::RColumnReaderBase > | GetColumnReaders (unsigned int, std::string_view, const std::type_info &) |
If the other GetColumnReaders overload returns an empty vector, this overload will be called instead. | |
virtual void | InitSlot (unsigned int, ULong64_t) |
Convenience method called at the start of the data processing associated to a slot. | |
Protected Member Functions | |
std::string | AsString () |
Private Types | |
using | PointerHolderPtrs_t = std::vector< ROOT::Internal::TDS::TPointerHolder * > |
Private Member Functions | |
template<std::size_t... S> | |
void | ColLenghtChecker (std::index_sequence< S... >) |
Record_t | GetColumnReadersImpl (std::string_view colName, const std::type_info &id) |
type-erased vector of pointers to pointers to column values - one per slot | |
size_t | GetEntriesNumber () |
template<std::size_t... S> | |
void | SetEntryHelper (unsigned int slot, ULong64_t entry, std::index_sequence< S... >) |
Private Attributes | |
const std::vector< std::string > | fColNames |
const std::map< std::string, std::string > | fColTypesMap |
std::tuple< ROOT::RVec< ColumnTypes > *... > | fColumns |
std::vector< std::pair< ULong64_t, ULong64_t > > | fEntryRanges {} |
unsigned int | fNSlots {0} |
std::vector< PointerHolderPtrs_t > | fPointerHolders |
const PointerHolderPtrs_t | fPointerHoldersModels |
PyObject * | fPyRVecs |
Additional Inherited Members | |
Protected Types inherited from ROOT::RDF::RDataSource | |
using | Record_t = std::vector< void * > |
#include <RNumpyDS.hxx>
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Definition at line 47 of file RNumpyDS.hxx.
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Definition at line 129 of file RNumpyDS.hxx.
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Definition at line 141 of file RNumpyDS.hxx.
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Reimplemented from ROOT::RDF::RDataSource.
Definition at line 126 of file RNumpyDS.hxx.
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Definition at line 105 of file RNumpyDS.hxx.
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Returns a reference to the collection of the dataset's column names.
Implements ROOT::RDF::RDataSource.
Definition at line 152 of file RNumpyDS.hxx.
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type-erased vector of pointers to pointers to column values - one per slot
Implements ROOT::RDF::RDataSource.
Definition at line 65 of file RNumpyDS.hxx.
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Definition at line 95 of file RNumpyDS.hxx.
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Return ranges of entries to distribute to tasks.
They are required to be contiguous intervals with no entries skipped. Supposing a dataset with nEntries, the intervals must start at 0 and end at nEntries, e.g. [0-5],[5-10] for 10 entries. This function will be invoked repeatedly by RDataFrame as it needs additional entries to process. The same entry range should not be returned more than once. Returning an empty collection of ranges signals to RDataFrame that the processing can stop.
Implements ROOT::RDF::RDataSource.
Definition at line 154 of file RNumpyDS.hxx.
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Return a string representation of the datasource type.
The returned string will be used by ROOT::RDF::SaveGraph() to represent the datasource in the visualization of the computation graph. Concrete datasources can override the default implementation.
Reimplemented from ROOT::RDF::RDataSource.
Definition at line 218 of file RNumpyDS.hxx.
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Type of a column as a string, e.g.
GetTypeName("x") == "double"
. Required for jitting e.g. df.Filter("x>0")
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[in] | colName | The name of the column |
Implements ROOT::RDF::RDataSource.
Definition at line 160 of file RNumpyDS.hxx.
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Checks if the dataset has a certain column.
[in] | colName | The name of the column |
Implements ROOT::RDF::RDataSource.
Definition at line 166 of file RNumpyDS.hxx.
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Convenience method called before starting an event-loop.
This method might be called multiple times over the lifetime of a RDataSource, since users can run multiple event-loops with the same RDataFrame. Ideally, Initialise
should set the state of the RDataSource so that multiple identical event-loops will produce identical results.
Reimplemented from ROOT::RDF::RDataSource.
Definition at line 197 of file RNumpyDS.hxx.
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Advance the "cursors" returned by GetColumnReaders to the selected entry for a particular slot.
[in] | slot | The data processing slot that needs to be considered |
[in] | entry | The entry which needs to be pointed to by the reader pointers Slots are adopted to accommodate parallel data processing. Different workers will loop over different ranges and will be labelled by different "slot" values. Returns true if the entry has to be processed, false otherwise. |
Implements ROOT::RDF::RDataSource.
Definition at line 173 of file RNumpyDS.hxx.
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Definition at line 97 of file RNumpyDS.hxx.
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Inform RDataSource of the number of processing slots (i.e.
worker threads) used by the associated RDataFrame. Slots numbers are used to simplify parallel execution: RDataFrame guarantees that different threads will always pass different slot values when calling methods concurrently.
Implements ROOT::RDF::RDataSource.
Definition at line 179 of file RNumpyDS.hxx.
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Definition at line 50 of file RNumpyDS.hxx.
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Definition at line 51 of file RNumpyDS.hxx.
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Definition at line 49 of file RNumpyDS.hxx.
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Definition at line 58 of file RNumpyDS.hxx.
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Definition at line 59 of file RNumpyDS.hxx.
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Definition at line 57 of file RNumpyDS.hxx.
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Definition at line 56 of file RNumpyDS.hxx.
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Definition at line 63 of file RNumpyDS.hxx.