mirror of
https://github.com/ceph/ceph
synced 2024-12-30 07:23:11 +00:00
0a2a0c075c
Signed-off-by: John Wilkins <john.wilkins@inktank.com>
187 lines
5.9 KiB
ReStructuredText
187 lines
5.9 KiB
ReStructuredText
==============
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Librados (C)
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==============
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.. highlight:: c
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`librados` provides low-level access to the RADOS service. For an
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overview of RADOS, see :doc:`../../architecture`.
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Example: connecting and writing an object
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=========================================
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To use `Librados`, you instantiate a :c:type:`rados_t` variable (a cluster handle) and
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call :c:func:`rados_create()` with a pointer to it::
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int err;
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rados_t cluster;
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err = rados_create(&cluster, NULL);
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if (err < 0) {
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fprintf(stderr, "%s: cannot create a cluster handle: %s\n", argv[0], strerror(-err));
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exit(1);
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}
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Then you configure your :c:type:`rados_t` to connect to your cluster,
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either by setting individual values (:c:func:`rados_conf_set()`),
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using a configuration file (:c:func:`rados_conf_read_file()`), using
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command line options (:c:func:`rados_conf_parse_argv`), or an
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environment variable (:c:func:`rados_conf_parse_env()`)::
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err = rados_conf_read_file(cluster, "/path/to/myceph.conf");
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if (err < 0) {
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fprintf(stderr, "%s: cannot read config file: %s\n", argv[0], strerror(-err));
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exit(1);
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}
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Once the cluster handle is configured, you can connect to the cluster with :c:func:`rados_connect()`::
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err = rados_connect(cluster);
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if (err < 0) {
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fprintf(stderr, "%s: cannot connect to cluster: %s\n", argv[0], strerror(-err));
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exit(1);
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}
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Then you open an "IO context", a :c:type:`rados_ioctx_t`, with :c:func:`rados_ioctx_create()`::
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rados_ioctx_t io;
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char *poolname = "mypool";
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err = rados_ioctx_create(cluster, poolname, &io);
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if (err < 0) {
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fprintf(stderr, "%s: cannot open rados pool %s: %s\n", argv[0], poolname, strerror(-err));
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rados_shutdown(cluster);
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exit(1);
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}
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Note that the pool you try to access must exist.
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Then you can use the RADOS data manipulation functions, for example
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write into an object called ``greeting`` with
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:c:func:`rados_write_full()`::
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err = rados_write_full(io, "greeting", "hello", 5);
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if (err < 0) {
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fprintf(stderr, "%s: cannot write pool %s: %s\n", argv[0], poolname, strerror(-err));
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rados_ioctx_destroy(io);
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rados_shutdown(cluster);
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exit(1);
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}
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In the end, you'll want to close your IO context and connection to RADOS with :c:func:`rados_ioctx_destroy()` and :c:func:`rados_shutdown()`::
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rados_ioctx_destroy(io);
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rados_shutdown(cluster);
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Asychronous IO
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==============
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When doing lots of IO, you often don't need to wait for one operation
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to complete before starting the next one. `Librados` provides
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asynchronous versions of several operations:
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* :c:func:`rados_aio_write`
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* :c:func:`rados_aio_append`
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* :c:func:`rados_aio_write_full`
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* :c:func:`rados_aio_read`
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For each operation, you must first create a
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:c:type:`rados_completion_t` that represents what to do when the
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operation is safe or complete by calling
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:c:func:`rados_aio_create_completion`. If you don't need anything
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special to happen, you can pass NULL::
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rados_completion_t comp;
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err = rados_aio_create_completion(NULL, NULL, NULL, &comp);
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if (err < 0) {
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fprintf(stderr, "%s: could not create aio completion: %s\n", argv[0], strerror(-err));
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rados_ioctx_destroy(io);
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rados_shutdown(cluster);
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exit(1);
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}
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Now you can call any of the aio operations, and wait for it to
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be in memory or on disk on all replicas::
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err = rados_aio_write(io, "foo", comp, "bar", 3, 0);
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if (err < 0) {
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fprintf(stderr, "%s: could not schedule aio write: %s\n", argv[0], strerror(-err));
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rados_aio_release(comp);
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rados_ioctx_destroy(io);
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rados_shutdown(cluster);
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exit(1);
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}
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rados_wait_for_complete(comp); // in memory
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rados_wait_for_safe(comp); // on disk
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Finally, we need to free the memory used by the completion with :c:func:`rados_aio_release`::
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rados_aio_release(comp);
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You can use the callbacks to tell your application when writes are
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durable, or when read buffers are full. For example, if you wanted to
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measure the latency of each operation when appending to several
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objects, you could schedule several writes and store the ack and
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commit time in the corresponding callback, then wait for all of them
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to complete using :c:func:`rados_aio_flush` before analyzing the
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latencies::
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typedef struct {
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struct timeval start;
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struct timeval ack_end;
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struct timeval commit_end;
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} req_duration;
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void ack_callback(rados_completion_t comp, void *arg) {
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req_duration *dur = (req_duration *) arg;
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gettimeofday(&dur->ack_end, NULL);
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}
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void commit_callback(rados_completion_t comp, void *arg) {
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req_duration *dur = (req_duration *) arg;
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gettimeofday(&dur->commit_end, NULL);
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}
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int output_append_latency(rados_ioctx_t io, const char *data, size_t len, size_t num_writes) {
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req_duration times[num_writes];
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rados_completion_t comps[num_writes];
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for (size_t i = 0; i < num_writes; ++i) {
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gettimeofday(×[i].start, NULL);
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int err = rados_aio_create_completion((void*) ×[i], ack_callback, commit_callback, &comps[i]);
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if (err < 0) {
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fprintf(stderr, "Error creating rados completion: %s\n", strerror(-err));
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return err;
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}
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char obj_name[100];
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snprintf(obj_name, sizeof(obj_name), "foo%ld", (unsigned long)i);
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err = rados_aio_append(io, obj_name, comps[i], data, len);
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if (err < 0) {
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fprintf(stderr, "Error from rados_aio_append: %s", strerror(-err));
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return err;
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}
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}
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// wait until all requests finish *and* the callbacks complete
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rados_aio_flush(io);
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// the latencies can now be analyzed
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printf("Request # | Ack latency (s) | Commit latency (s)\n");
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for (size_t i = 0; i < num_writes; ++i) {
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// don't forget to free the completions
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rados_aio_release(comps[i]);
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struct timeval ack_lat, commit_lat;
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timersub(×[i].ack_end, ×[i].start, &ack_lat);
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timersub(×[i].commit_end, ×[i].start, &commit_lat);
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printf("%9ld | %8ld.%06ld | %10ld.%06ld\n", (unsigned long) i, ack_lat.tv_sec, ack_lat.tv_usec, commit_lat.tv_sec, commit_lat.tv_usec);
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}
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return 0;
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}
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Note that all the :c:type:`rados_completion_t` must be freed with :c:func:`rados_aio_release` to avoid leaking memory.
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API calls
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=========
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.. doxygenfile:: librados.h
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