本文整理汇总了Java中org.apache.hadoop.hbase.regionserver.BloomType.ROWCOL属性的典型用法代码示例。如果您正苦于以下问题：Java BloomType.ROWCOL属性的具体用法？Java BloomType.ROWCOL怎么用？Java BloomType.ROWCOL使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类org.apache.hadoop.hbase.regionserver.BloomType的用法示例。
在下文中一共展示了BloomType.ROWCOL属性的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: createGeneralBloomAtWrite
/**
* Creates a new general (Row or RowCol) Bloom filter at the time of
* {@link org.apache.hadoop.hbase.regionserver.StoreFile} writing.
*
* @param conf
* @param cacheConf
* @param bloomType
* @param maxKeys an estimate of the number of keys we expect to insert.
* Irrelevant if compound Bloom filters are enabled.
* @param writer the HFile writer
* @return the new Bloom filter, or null in case Bloom filters are disabled
* or when failed to create one.
*/
public static BloomFilterWriter createGeneralBloomAtWrite(Configuration conf,
CacheConfig cacheConf, BloomType bloomType, int maxKeys,
HFile.Writer writer) {
if (!isGeneralBloomEnabled(conf)) {
LOG.trace("Bloom filters are disabled by configuration for "
+ writer.getPath()
+ (conf == null ? " (configuration is null)" : ""));
return null;
} else if (bloomType == BloomType.NONE) {
LOG.trace("Bloom filter is turned off for the column family");
return null;
}
float err = getErrorRate(conf);
// In case of row/column Bloom filter lookups, each lookup is an OR if two
// separate lookups. Therefore, if each lookup's false positive rate is p,
// the resulting false positive rate is err = 1 - (1 - p)^2, and
// p = 1 - sqrt(1 - err).
if (bloomType == BloomType.ROWCOL) {
err = (float) (1 - Math.sqrt(1 - err));
}
int maxFold = conf.getInt(IO_STOREFILE_BLOOM_MAX_FOLD,
MAX_ALLOWED_FOLD_FACTOR);
// Do we support compound bloom filters?
// In case of compound Bloom filters we ignore the maxKeys hint.
CompoundBloomFilterWriter bloomWriter = new CompoundBloomFilterWriter(getBloomBlockSize(conf),
err, Hash.getHashType(conf), maxFold, cacheConf.shouldCacheBloomsOnWrite(),
bloomType == BloomType.ROWCOL ? KeyValue.COMPARATOR : KeyValue.RAW_COMPARATOR);
writer.addInlineBlockWriter(bloomWriter);
return bloomWriter;
}
示例2: createGeneralBloomAtWrite
/**
* Creates a new general (Row or RowCol) Bloom filter at the time of
* {@link org.apache.hadoop.hbase.regionserver.HStoreFile} writing.
*
* @param conf
* @param cacheConf
* @param bloomType
* @param maxKeys an estimate of the number of keys we expect to insert.
* Irrelevant if compound Bloom filters are enabled.
* @param writer the HFile writer
* @return the new Bloom filter, or null in case Bloom filters are disabled
* or when failed to create one.
*/
public static BloomFilterWriter createGeneralBloomAtWrite(Configuration conf,
CacheConfig cacheConf, BloomType bloomType, int maxKeys,
HFile.Writer writer) {
if (!isGeneralBloomEnabled(conf)) {
LOG.trace("Bloom filters are disabled by configuration for "
+ writer.getPath()
+ (conf == null ? " (configuration is null)" : ""));
return null;
} else if (bloomType == BloomType.NONE) {
LOG.trace("Bloom filter is turned off for the column family");
return null;
}
float err = getErrorRate(conf);
// In case of row/column Bloom filter lookups, each lookup is an OR if two
// separate lookups. Therefore, if each lookup's false positive rate is p,
// the resulting false positive rate is err = 1 - (1 - p)^2, and
// p = 1 - sqrt(1 - err).
if (bloomType == BloomType.ROWCOL) {
err = (float) (1 - Math.sqrt(1 - err));
}
int maxFold = conf.getInt(IO_STOREFILE_BLOOM_MAX_FOLD,
MAX_ALLOWED_FOLD_FACTOR);
// Do we support compound bloom filters?
// In case of compound Bloom filters we ignore the maxKeys hint.
CompoundBloomFilterWriter bloomWriter = new CompoundBloomFilterWriter(getBloomBlockSize(conf),
err, Hash.getHashType(conf), maxFold, cacheConf.shouldCacheBloomsOnWrite(),
bloomType == BloomType.ROWCOL ? CellComparatorImpl.COMPARATOR : null, bloomType);
writer.addInlineBlockWriter(bloomWriter);
return bloomWriter;
}