org.bdgenomics.adam.rdd.fragment
The underlying RDD of Fragment data.
The genomic sequences this data was aligned to, if any.
The record groups these Fragments came from.
Performs a broadcast inner join between this RDD and another RDD.
Performs a broadcast inner join between this RDD and another RDD.
In a broadcast join, the left RDD (this RDD) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other RDD are dropped.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space.
Performs a sort-merge full outer join between this RDD and another RDD.
Performs a sort-merge full outer join between this RDD and another RDD.
In a sort-merge join, both RDDs are co-partitioned and sorted. The
partitions are then zipped, and we do a merge join on each partition.
The key equality function used for this join is the reference region
overlap function. Since this is a full outer join, if a value from either
RDD does not overlap any values in the other RDD, it will be paired with
a None
in the product of the join.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that
overlapped in the genomic coordinate space, and values that did not
overlap will be paired with a None
.
Returns the regions that this fragment covers.
Returns the regions that this fragment covers.
Since a fragment may be chimeric or multi-mapped, we do not try to compute the hull of the underlying element.
The Fragment to get the region from.
Returns all regions covered by this fragment.
Performs a sort-merge left outer join between this RDD and another RDD.
Performs a sort-merge left outer join between this RDD and another RDD.
In a sort-merge join, both RDDs are co-partitioned and sorted. The
partitions are then zipped, and we do a merge join on each partition.
The key equality function used for this join is the reference region
overlap function. Since this is a left outer join, all values in the
right RDD that do not overlap a value from the left RDD are dropped.
If a value from the left RDD does not overlap any values in the right
RDD, it will be paired with a None
in the product of the join.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left RDD that did not overlap a key in the right RDD.
Pipes genomic data to a subprocess that runs in parallel using Spark.
Pipes genomic data to a subprocess that runs in parallel using Spark.
Files are substituted in to the command with a $x syntax. E.g., to invoke a command that uses the first file from the files Seq, use $0.
Pipes require the presence of an InFormatterCompanion and an OutFormatter as implicit values. The InFormatterCompanion should be a singleton whose apply method builds an InFormatter given a specific type of GenomicRDD. The implicit InFormatterCompanion yields an InFormatter which is used to format the input to the pipe, and the implicit OutFormatter is used to parse the output from the pipe.
The type of the record created by the piped command.
A GenomicRDD containing X's.
The InFormatter to use for formatting the data being piped to the command.
Command to run.
Files to make locally available to the commands being run. Default is empty.
A map containing environment variable/value pairs to set in the environment for the newly created process. Default is empty.
Number of bases to flank each command invocation by.
Returns a new GenomicRDD of type Y.
The underlying RDD of Fragment data.
The underlying RDD of Fragment data.
The record groups these Fragments came from.
The record groups these Fragments came from.
Replaces the underlying RDD with a new RDD.
Replaces the underlying RDD with a new RDD.
The RDD to replace our underlying RDD with.
Returns a new FragmentRDD where the underlying RDD has been swapped out.
Performs a broadcast right outer join between this RDD and another RDD.
Performs a broadcast right outer join between this RDD and another RDD.
In a broadcast join, the left RDD (this RDD) is collected to the driver,
and broadcast to all the nodes in the cluster. The key equality function
used for this join is the reference region overlap function. Since this
is a right outer join, all values in the left RDD that do not overlap a
value from the right RDD are dropped. If a value from the right RDD does
not overlap any values in the left RDD, it will be paired with a None
in the product of the join.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right RDD that did not overlap a key in the left RDD.
Performs a sort-merge right outer join between this RDD and another RDD.
Performs a sort-merge right outer join between this RDD and another RDD.
In a sort-merge join, both RDDs are co-partitioned and sorted. The
partitions are then zipped, and we do a merge join on each partition.
The key equality function used for this join is the reference region
overlap function. Since this is a right outer join, all values in the
left RDD that do not overlap a value from the right RDD are dropped.
If a value from the right RDD does not overlap any values in the left
RDD, it will be paired with a None
in the product of the join.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right RDD that did not overlap a key in the left RDD.
Performs a sort-merge right outer join between this RDD and another RDD, followed by a groupBy on the left value, if not null.
Performs a sort-merge right outer join between this RDD and another RDD, followed by a groupBy on the left value, if not null.
In a sort-merge join, both RDDs are co-partitioned and sorted. The
partitions are then zipped, and we do a merge join on each partition.
The key equality function used for this join is the reference region
overlap function. In the same operation, we group all values by the left
item in the RDD. Since this is a right outer join, all values from the
right RDD who did not overlap a value from the left RDD are placed into
a length-1 Iterable with a None
key.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left RDD, and all values from the right RDD that did not overlap an item in the left RDD.
Saves Fragments to Parquet.
Saves Fragments to Parquet.
Path to save fragments at.
Saves this RDD to disk as a Parquet file.
Saves this RDD to disk as a Parquet file.
Path to save the file at.
Saves this RDD to disk as a Parquet file.
Saves this RDD to disk as a Parquet file.
Path to save the file at.
Size per block.
Size per page.
Name of the compression codec to use.
Whether or not to disable bit-packing.
Saves this RDD to disk as a Parquet file.
Saves this RDD to disk as a Parquet file.
Path to save the file at.
Size per block.
Size per page.
Name of the compression codec to use.
Whether or not to disable bit-packing. Default is false.
Saves RDD as a directory of Parquet files.
Saves RDD as a directory of Parquet files.
The RDD is written as a directory of Parquet files, with Parquet configuration described by the input param args. The provided sequence dictionary is written at args.outputPath/_seqdict.avro as Avro binary.
Save configuration arguments.
Saves Avro data to a Hadoop file system.
Saves Avro data to a Hadoop file system.
This method uses a SparkContext to identify our underlying file system, which we then save to.
Frustratingly enough, although all records generated by the Avro IDL compiler have a static SCHEMA$ field, this field does not belong to the SpecificRecordBase abstract class, or the SpecificRecord interface. As such, we must force the user to pass in the schema.
The type of the specific record we are saving.
Path to save records to.
SparkContext used for identifying underlying file system.
Schema of records we are saving.
Seq of records we are saving.
Called in saveAsParquet after saving RDD to Parquet to save metadata.
Called in saveAsParquet after saving RDD to Parquet to save metadata.
Writes any necessary metadata to disk. If not overridden, writes the sequence dictionary to disk as Avro.
The genomic sequences this data was aligned to, if any.
The genomic sequences this data was aligned to, if any.
Performs a sort-merge inner join between this RDD and another RDD.
Performs a sort-merge inner join between this RDD and another RDD.
In a sort-merge join, both RDDs are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other RDD are dropped.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space.
Performs a sort-merge inner join between this RDD and another RDD, followed by a groupBy on the left value.
Performs a sort-merge inner join between this RDD and another RDD, followed by a groupBy on the left value.
In a sort-merge join, both RDDs are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other RDD are dropped. In the same operation, we group all values by the left item in the RDD.
The right RDD in the join.
Returns a new genomic RDD containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left RDD..
Essentially, splits up the reads in a Fragment.
Essentially, splits up the reads in a Fragment.
Returns this RDD converted back to reads.
A genomic RDD that supports RDDs of Fragments.
The underlying RDD of Fragment data.
The genomic sequences this data was aligned to, if any.
The record groups these Fragments came from.