Пример #1
0
def open_head(fs, path, compression):
    """Open a file just to read its head and size"""
    from dask.bytes.core import OpenFile, logical_size
    with OpenFile(fs, path, compression=compression) as f:
        head = read_header(f)
    size = logical_size(fs, path, compression)
    return head, size
Пример #2
0
def open_head(fs, path, compression):
    """Open a file just to read its head and size"""
    from dask.bytes.core import OpenFile

    with OpenFile(fs, path, compression=compression) as f:
        head = read_header(f)
    size = fs.info(path)["size"]
    return head, size
Пример #3
0
def read_avro(urlpath,
              blocksize=100000000,
              storage_options=None,
              compression=None):
    """Read set of avro files

    Use this with arbitrary nested avro schemas. Please refer to the
    fastavro documentation for its capabilities:
    https://github.com/fastavro/fastavro

    Parameters
    ----------
    urlpath: string or list
        Absolute or relative filepath, URL (may include protocols like
        ``s3://``), or globstring pointing to data.
    blocksize: int or None
        Size of chunks in bytes. If None, there will be no chunking and each
        file will become one partition.
    storage_options: dict or None
        passed to backend file-system
    compression: str or None
        Compression format of the targe(s), like 'gzip'. Should only be used
        with blocksize=None.
    """
    from dask.utils import import_required
    from dask import delayed, compute
    from dask.bytes.core import (open_files, get_fs_token_paths, OpenFile,
                                 tokenize)
    from dask.bag import from_delayed
    import_required(
        'fastavro', "fastavro is a required dependency for using "
        "bag.read_avro().")

    storage_options = storage_options or {}
    if blocksize is not None:
        fs, fs_token, paths = get_fs_token_paths(
            urlpath, mode='rb', storage_options=storage_options)
        dhead = delayed(open_head)
        out = compute(*[dhead(fs, path, compression) for path in paths])
        heads, sizes = zip(*out)
        dread = delayed(read_chunk)

        offsets = []
        lengths = []
        for size in sizes:
            off = list(range(0, size, blocksize))
            length = [blocksize] * len(off)
            offsets.append(off)
            lengths.append(length)

        out = []
        for path, offset, length, head in zip(paths, offsets, lengths, heads):
            delimiter = head['sync']
            f = OpenFile(fs, path, compression=compression)
            token = tokenize(fs_token, delimiter, path, fs.ukey(path),
                             compression, offset)
            keys = ['read-avro-%s-%s' % (o, token) for o in offset]
            values = [
                dread(f, o, l, head, dask_key_name=key)
                for o, key, l in zip(offset, keys, length)
            ]
            out.extend(values)

        return from_delayed(out)
    else:
        files = open_files(urlpath, **storage_options)
        dread = delayed(read_file)
        chunks = [dread(fo) for fo in files]
        return from_delayed(chunks)