Files
rippled/java/org/rocksdb/WriteBatch.java
Yueh-Hsuan Chiang 0f5cbcd798 [JNI] Add an initial benchmark for java binding for rocksdb.
Summary:
* Add a benchmark for java binding for rocksdb.  The java benchmark
  is a complete rewrite based on the c++ db/db_bench.cc and the
  DbBenchmark in dain's java leveldb.
* Support multithreading.
* 'readseq' is currently not supported as it requires RocksDB Iterator.

* usage:

  --benchmarks
    Comma-separated list of operations to run in the specified order
        Actual benchmarks:
                fillseq    -- write N values in sequential key order in async mode
                fillrandom -- write N values in random key order in async mode
                fillbatch  -- write N/1000 batch where each batch has 1000 values
                              in random key order in sync mode
                fillsync   -- write N/100 values in random key order in sync mode
                fill100K   -- write N/1000 100K values in random order in async mode
                readseq    -- read N times sequentially
                readrandom -- read N times in random order
                readhot    -- read N times in random order from 1% section of DB
        Meta Operations:
                delete     -- delete DB
    DEFAULT: [fillseq, readrandom, fillrandom]

  --compression_ratio
    Arrange to generate values that shrink to this fraction of
        their original size after compression
    DEFAULT: 0.5

  --use_existing_db
    If true, do not destroy the existing database.  If you set this
        flag and also specify a benchmark that wants a fresh database,  that benchmark will fail.
    DEFAULT: false

  --num
    Number of key/values to place in database.
    DEFAULT: 1000000

  --threads
    Number of concurrent threads to run.
    DEFAULT: 1

  --reads
    Number of read operations to do.  If negative, do --nums reads.

  --key_size
    The size of each key in bytes.
    DEFAULT: 16

  --value_size
    The size of each value in bytes.
    DEFAULT: 100

  --write_buffer_size
    Number of bytes to buffer in memtable before compacting
        (initialized to default value by 'main'.)
    DEFAULT: 4194304

  --cache_size
    Number of bytes to use as a cache of uncompressed data.
        Negative means use default settings.
    DEFAULT: -1

  --seed
    Seed base for random number generators.
    DEFAULT: 0

  --db
    Use the db with the following name.
    DEFAULT: /tmp/rocksdbjni-bench

* Add RocksDB.write().

Test Plan: make jbench

Reviewers: haobo, sdong, dhruba, ankgup87

Reviewed By: haobo

CC: leveldb

Differential Revision: https://reviews.facebook.net/D17433
2014-04-09 00:48:20 -07:00

122 lines
3.5 KiB
Java

// Copyright (c) 2014, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same directory.
package org.rocksdb;
import java.lang.*;
import java.util.*;
/**
* WriteBatch holds a collection of updates to apply atomically to a DB.
*
* The updates are applied in the order in which they are added
* to the WriteBatch. For example, the value of "key" will be "v3"
* after the following batch is written:
*
* batch.put("key", "v1");
* batch.remove("key");
* batch.put("key", "v2");
* batch.put("key", "v3");
*
* Multiple threads can invoke const methods on a WriteBatch without
* external synchronization, but if any of the threads may call a
* non-const method, all threads accessing the same WriteBatch must use
* external synchronization.
*/
public class WriteBatch {
public WriteBatch() {
nativeHandle_ = 0;
newWriteBatch(0);
}
public WriteBatch(int reserved_bytes) {
nativeHandle_ = 0;
newWriteBatch(reserved_bytes);
}
/**
* Returns the number of updates in the batch.
*/
public native int count();
/**
* Store the mapping "key->value" in the database.
*/
public void put(byte[] key, byte[] value) {
put(key, key.length, value, value.length);
}
/**
* Merge "value" with the existing value of "key" in the database.
* "key->merge(existing, value)"
*/
public void merge(byte[] key, byte[] value) {
merge(key, key.length, value, value.length);
}
/**
* If the database contains a mapping for "key", erase it. Else do nothing.
*/
public void remove(byte[] key) {
remove(key, key.length);
}
/**
* Append a blob of arbitrary size to the records in this batch. The blob will
* be stored in the transaction log but not in any other file. In particular,
* it will not be persisted to the SST files. When iterating over this
* WriteBatch, WriteBatch::Handler::LogData will be called with the contents
* of the blob as it is encountered. Blobs, puts, deletes, and merges will be
* encountered in the same order in thich they were inserted. The blob will
* NOT consume sequence number(s) and will NOT increase the count of the batch
*
* Example application: add timestamps to the transaction log for use in
* replication.
*/
public void putLogData(byte[] blob) {
putLogData(blob, blob.length);
}
/**
* Clear all updates buffered in this batch
*/
public native void clear();
/**
* Delete the c++ side pointer.
*/
public synchronized void dispose() {
if (nativeHandle_ != 0) {
dispose0();
}
}
@Override protected void finalize() {
dispose();
}
private native void newWriteBatch(int reserved_bytes);
private native void put(byte[] key, int keyLen,
byte[] value, int valueLen);
private native void merge(byte[] key, int keyLen,
byte[] value, int valueLen);
private native void remove(byte[] key, int keyLen);
private native void putLogData(byte[] blob, int blobLen);
private native void dispose0();
long nativeHandle_;
}
/**
* Package-private class which provides java api to access
* c++ WriteBatchInternal.
*/
class WriteBatchInternal {
static native void setSequence(WriteBatch batch, long sn);
static native long sequence(WriteBatch batch);
static native void append(WriteBatch b1, WriteBatch b2);
}