本文整理汇总了Java中org.apache.cassandra.io.util.RandomAccessReader.getFilePointer方法的典型用法代码示例。如果您正苦于以下问题:Java RandomAccessReader.getFilePointer方法的具体用法?Java RandomAccessReader.getFilePointer怎么用?Java RandomAccessReader.getFilePointer使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.cassandra.io.util.RandomAccessReader
的用法示例。
在下文中一共展示了RandomAccessReader.getFilePointer方法的5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: buildSummaryAtLevel
import org.apache.cassandra.io.util.RandomAccessReader; //导入方法依赖的package包/类
private IndexSummary buildSummaryAtLevel(int newSamplingLevel) throws IOException
{
// we read the positions in a BRAF so we don't have to worry about an entry spanning a mmap boundary.
RandomAccessReader primaryIndex = RandomAccessReader.open(new File(descriptor.filenameFor(Component.PRIMARY_INDEX)));
try
{
long indexSize = primaryIndex.length();
try (IndexSummaryBuilder summaryBuilder = new IndexSummaryBuilder(estimatedKeys(), metadata.getMinIndexInterval(), newSamplingLevel))
{
long indexPosition;
while ((indexPosition = primaryIndex.getFilePointer()) != indexSize)
{
summaryBuilder.maybeAddEntry(partitioner.decorateKey(ByteBufferUtil.readWithShortLength(primaryIndex)), indexPosition);
RowIndexEntry.Serializer.skip(primaryIndex);
}
return summaryBuilder.build(partitioner);
}
}
finally
{
FileUtils.closeQuietly(primaryIndex);
}
}
示例2: buildSummaryAtLevel
import org.apache.cassandra.io.util.RandomAccessReader; //导入方法依赖的package包/类
private IndexSummary buildSummaryAtLevel(int newSamplingLevel) throws IOException
{
// we read the positions in a BRAF so we don't have to worry about an entry spanning a mmap boundary.
RandomAccessReader primaryIndex = RandomAccessReader.open(new File(descriptor.filenameFor(Component.PRIMARY_INDEX)));
try
{
long indexSize = primaryIndex.length();
IndexSummaryBuilder summaryBuilder = new IndexSummaryBuilder(estimatedKeys(), metadata.getMinIndexInterval(), newSamplingLevel);
long indexPosition;
while ((indexPosition = primaryIndex.getFilePointer()) != indexSize)
{
summaryBuilder.maybeAddEntry(partitioner.decorateKey(ByteBufferUtil.readWithShortLength(primaryIndex)), indexPosition);
RowIndexEntry.Serializer.skip(primaryIndex);
}
return summaryBuilder.build(partitioner);
}
finally
{
FileUtils.closeQuietly(primaryIndex);
}
}
示例3: buildSummary
import org.apache.cassandra.io.util.RandomAccessReader; //导入方法依赖的package包/类
/**
* Build index summary(and optionally bloom filter) by reading through Index.db file.
*
* @param recreateBloomFilter true if recreate bloom filter
* @param ibuilder
* @param dbuilder
* @param summaryLoaded true if index summary is already loaded and not need to build again
* @throws IOException
*/
private void buildSummary(boolean recreateBloomFilter, SegmentedFile.Builder ibuilder, SegmentedFile.Builder dbuilder, boolean summaryLoaded, int samplingLevel) throws IOException
{
// we read the positions in a BRAF so we don't have to worry about an entry spanning a mmap boundary.
RandomAccessReader primaryIndex = RandomAccessReader.open(new File(descriptor.filenameFor(Component.PRIMARY_INDEX)));
try
{
long indexSize = primaryIndex.length();
long histogramCount = sstableMetadata.estimatedRowSize.count();
long estimatedKeys = histogramCount > 0 && !sstableMetadata.estimatedRowSize.isOverflowed()
? histogramCount
: estimateRowsFromIndex(primaryIndex); // statistics is supposed to be optional
try(IndexSummaryBuilder summaryBuilder = summaryLoaded ? null : new IndexSummaryBuilder(estimatedKeys, metadata.getMinIndexInterval(), samplingLevel))
{
if (recreateBloomFilter)
bf = FilterFactory.getFilter(estimatedKeys, metadata.getBloomFilterFpChance(), true);
long indexPosition;
while ((indexPosition = primaryIndex.getFilePointer()) != indexSize)
{
ByteBuffer key = ByteBufferUtil.readWithShortLength(primaryIndex);
RowIndexEntry indexEntry = metadata.comparator.rowIndexEntrySerializer().deserialize(primaryIndex, descriptor.version);
DecoratedKey decoratedKey = partitioner.decorateKey(key);
if (first == null)
first = decoratedKey;
last = decoratedKey;
if (recreateBloomFilter)
bf.add(decoratedKey.getKey());
// if summary was already read from disk we don't want to re-populate it using primary index
if (!summaryLoaded)
{
summaryBuilder.maybeAddEntry(decoratedKey, indexPosition);
ibuilder.addPotentialBoundary(indexPosition);
dbuilder.addPotentialBoundary(indexEntry.position);
}
}
if (!summaryLoaded)
indexSummary = summaryBuilder.build(partitioner);
}
}
finally
{
FileUtils.closeQuietly(primaryIndex);
}
first = getMinimalKey(first);
last = getMinimalKey(last);
}
示例4: buildSummary
import org.apache.cassandra.io.util.RandomAccessReader; //导入方法依赖的package包/类
/**
* Build index summary(and optionally bloom filter) by reading through Index.db file.
*
* @param recreateBloomFilter true if recreate bloom filter
* @param ibuilder
* @param dbuilder
* @param summaryLoaded true if index summary is already loaded and not need to build again
* @throws IOException
*/
private void buildSummary(boolean recreateBloomFilter, SegmentedFile.Builder ibuilder, SegmentedFile.Builder dbuilder, boolean summaryLoaded, int samplingLevel) throws IOException
{
// we read the positions in a BRAF so we don't have to worry about an entry spanning a mmap boundary.
RandomAccessReader primaryIndex = RandomAccessReader.open(new File(descriptor.filenameFor(Component.PRIMARY_INDEX)));
try
{
long indexSize = primaryIndex.length();
long histogramCount = sstableMetadata.estimatedRowSize.count();
long estimatedKeys = histogramCount > 0 && !sstableMetadata.estimatedRowSize.isOverflowed()
? histogramCount
: estimateRowsFromIndex(primaryIndex); // statistics is supposed to be optional
if (recreateBloomFilter)
bf = FilterFactory.getFilter(estimatedKeys, metadata.getBloomFilterFpChance(), true);
IndexSummaryBuilder summaryBuilder = null;
if (!summaryLoaded)
summaryBuilder = new IndexSummaryBuilder(estimatedKeys, metadata.getMinIndexInterval(), samplingLevel);
long indexPosition;
while ((indexPosition = primaryIndex.getFilePointer()) != indexSize)
{
ByteBuffer key = ByteBufferUtil.readWithShortLength(primaryIndex);
RowIndexEntry indexEntry = metadata.comparator.rowIndexEntrySerializer().deserialize(primaryIndex, descriptor.version);
DecoratedKey decoratedKey = partitioner.decorateKey(key);
if (first == null)
first = decoratedKey;
last = decoratedKey;
if (recreateBloomFilter)
bf.add(decoratedKey.getKey());
// if summary was already read from disk we don't want to re-populate it using primary index
if (!summaryLoaded)
{
summaryBuilder.maybeAddEntry(decoratedKey, indexPosition);
ibuilder.addPotentialBoundary(indexPosition);
dbuilder.addPotentialBoundary(indexEntry.position);
}
}
if (!summaryLoaded)
indexSummary = summaryBuilder.build(partitioner);
}
finally
{
FileUtils.closeQuietly(primaryIndex);
}
first = getMinimalKey(first);
last = getMinimalKey(last);
}
示例5: buildSummary
import org.apache.cassandra.io.util.RandomAccessReader; //导入方法依赖的package包/类
/**
* Build index summary(and optionally bloom filter) by reading through Index.db file.
*
* @param recreateBloomFilter true if recreate bloom filter
* @param ibuilder
* @param dbuilder
* @param summaryLoaded true if index summary is already loaded and not need to build again
* @throws IOException
*/
private void buildSummary(boolean recreateBloomFilter, SegmentedFile.Builder ibuilder, SegmentedFile.Builder dbuilder, boolean summaryLoaded, int samplingLevel) throws IOException
{
// we read the positions in a BRAF so we don't have to worry about an entry spanning a mmap boundary.
RandomAccessReader primaryIndex = RandomAccessReader.open(new File(descriptor.filenameFor(Component.PRIMARY_INDEX)));
try
{
long indexSize = primaryIndex.length();
long histogramCount = sstableMetadata.estimatedRowSize.count();
long estimatedKeys = histogramCount > 0 && !sstableMetadata.estimatedRowSize.isOverflowed()
? histogramCount
: estimateRowsFromIndex(primaryIndex); // statistics is supposed to be optional
if (recreateBloomFilter)
bf = FilterFactory.getFilter(estimatedKeys, metadata.getBloomFilterFpChance(), true);
IndexSummaryBuilder summaryBuilder = null;
if (!summaryLoaded)
summaryBuilder = new IndexSummaryBuilder(estimatedKeys, metadata.getMinIndexInterval(), samplingLevel);
long indexPosition;
while ((indexPosition = primaryIndex.getFilePointer()) != indexSize)
{
ByteBuffer key = ByteBufferUtil.readWithShortLength(primaryIndex);
RowIndexEntry indexEntry = metadata.comparator.rowIndexEntrySerializer().deserialize(primaryIndex, descriptor.version);
DecoratedKey decoratedKey = partitioner.decorateKey(key);
if (first == null)
first = decoratedKey;
last = decoratedKey;
if (recreateBloomFilter)
bf.add(decoratedKey.key);
// if summary was already read from disk we don't want to re-populate it using primary index
if (!summaryLoaded)
{
summaryBuilder.maybeAddEntry(decoratedKey, indexPosition);
ibuilder.addPotentialBoundary(indexPosition);
dbuilder.addPotentialBoundary(indexEntry.position);
}
}
if (!summaryLoaded)
indexSummary = summaryBuilder.build(partitioner);
}
finally
{
FileUtils.closeQuietly(primaryIndex);
}
first = getMinimalKey(first);
last = getMinimalKey(last);
}