RDataSource defines an API that RDataFrame can use to read arbitrary data formats.
A concrete RDataSource implementation (i.e. a class that inherits from RDataSource and implements all of its pure methods) provides an adaptor that RDataFrame can leverage to read any kind of tabular data formats. RDataFrame calls into RDataSource to retrieve information about the data, retrieve (thread-local) readers or "cursors" for selected columns and to advance the readers to the desired data entry.
The sequence of calls that RDataFrame (or any other client of a RDataSource) performs is the following:
RDataSource implementations must support running multiple event-loops consecutively (although sequentially) on the same dataset.
Definition at line 105 of file RDataSource.hxx.
Public Member Functions | |
virtual | ~RDataSource ()=default |
virtual void | Finalise () |
Convenience method called after concluding an event-loop. More... | |
virtual void | FinaliseSlot (unsigned int) |
Convenience method called at the end of the data processing associated to a slot. More... | |
virtual const std::vector< std::string > & | GetColumnNames () const =0 |
Returns a reference to the collection of the dataset's column names. More... | |
template<typename T > | |
std::vector< T ** > | GetColumnReaders (std::string_view columnName) |
Called at most once per column by RDF. More... | |
virtual std::vector< std::pair< ULong64_t, ULong64_t > > | GetEntryRanges ()=0 |
Return ranges of entries to distribute to tasks. More... | |
virtual std::string | GetLabel () |
Return a string representation of the datasource type. More... | |
virtual std::string | GetTypeName (std::string_view) const =0 |
Type of a column as a string, e.g. More... | |
virtual bool | HasColumn (std::string_view) const =0 |
Checks if the dataset has a certain column. More... | |
virtual void | Initialise () |
Convenience method called before starting an event-loop. More... | |
virtual void | InitSlot (unsigned int, ULong64_t) |
Convenience method called at the start of the data processing associated to a slot. More... | |
virtual bool | SetEntry (unsigned int slot, ULong64_t entry)=0 |
Advance the "cursors" returned by GetColumnReaders to the selected entry for a particular slot. More... | |
virtual void | SetNSlots (unsigned int nSlots)=0 |
Inform RDataSource of the number of processing slots (i.e. More... | |
Protected Types | |
using | Record_t = std::vector< void * > |
Protected Member Functions | |
virtual std::string | AsString () |
virtual Record_t | GetColumnReadersImpl (std::string_view name, const std::type_info &)=0 |
type-erased vector of pointers to pointers to column values - one per slot More... | |
#include <ROOT/RDataSource.hxx>
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protected |
Definition at line 108 of file RDataSource.hxx.
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virtualdefault |
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inlineprotectedvirtual |
Reimplemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, and ROOT::RDF::RTrivialDS.
Definition at line 111 of file RDataSource.hxx.
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inlinevirtual |
Convenience method called after concluding an event-loop.
See Initialise for more details.
Reimplemented in ROOT::RDF::RCsvDS.
Definition at line 205 of file RDataSource.hxx.
Convenience method called at the end of the data processing associated to a slot.
[in] | slot | The data processing slot wihch needs to be finalised This method might be called multiple times per thread per event-loop. |
Definition at line 199 of file RDataSource.hxx.
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pure virtual |
Returns a reference to the collection of the dataset's column names.
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
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inline |
Called at most once per column by RDF.
Return vector of pointers to pointers to column values - one per slot.
T | The type of the data stored in the column |
[in] | columnName | The name of the column |
These pointers are veritable cursors: it's a responsibility of the RDataSource implementation that they point to the "right" memory region.
Definition at line 147 of file RDataSource.hxx.
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protectedpure virtual |
type-erased vector of pointers to pointers to column values - one per slot
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, ROOT::RDF::RArrowDS, and ROOT::RDF::RCsvDS.
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pure virtual |
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.
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
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inlinevirtual |
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 in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
Definition at line 211 of file RDataSource.hxx.
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pure virtual |
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] | columnName | The name of the column |
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, ROOT::RDF::RArrowDS, and ROOT::RDF::RTrivialDS.
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pure virtual |
Checks if the dataset has a certain column.
[in] | columnName | The name of the column |
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
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inlinevirtual |
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 in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
Definition at line 184 of file RDataSource.hxx.
Convenience method called at the start of the data processing associated to a slot.
[in] | slot | The data processing slot wihch needs to be initialised |
[in] | firstEntry | The first entry of the range that the task will process. This method might be called multiple times per thread per event-loop. |
Reimplemented in ROOT::RDF::RArrowDS.
Definition at line 192 of file RDataSource.hxx.
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. |
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.
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.
Implemented in ROOT::Internal::RDF::RNumpyDS< ColumnTypes >, ROOT::RDF::RCsvDS, ROOT::RDF::RLazyDS< ColumnTypes >, ROOT::RDF::RTrivialDS, ROOT::Experimental::RNTupleDS, ROOT::RDF::RSqliteDS, and ROOT::RDF::RArrowDS.