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Chronicle-Map/src/main/java/net/openhft/chronicle/ChronicleHashBuilder.java
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Java

package net.openhft.chronicle;
import net.openhft.chronicle.map.ChannelProvider;
import net.openhft.chronicle.map.ChronicleMap;
import net.openhft.chronicle.map.ChronicleMapBuilder;
import net.openhft.chronicle.map.ReplicationConfig;
import net.openhft.chronicle.set.ChronicleSet;
import net.openhft.chronicle.set.ChronicleSetBuilder;
import net.openhft.lang.io.serialization.BytesMarshaller;
import net.openhft.lang.io.serialization.BytesMarshallerFactory;
import net.openhft.lang.io.serialization.ObjectSerializer;
import net.openhft.lang.model.Byteable;
import org.jetbrains.annotations.NotNull;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.TimeUnit;
/**
* This interface defines the meaning of configurations, common to {@link ChronicleMapBuilder} and {@link
* ChronicleSetBuilder}, i. e. <i>Chronicle hash container</i> configurations.
*
* @param <K> the type of keys in hash containers, created by this builder
* @param <C> the container type, created by this builder, i. e. {@link ChronicleMap} or {@link ChronicleSet}
* @param <B> the concrete builder type, i. e. {@link ChronicleMapBuilder} or {@link ChronicleSetBuilder}
*/
public interface ChronicleHashBuilder<K, C extends ChronicleHash,
B extends ChronicleHashBuilder<K, C, B>> extends Cloneable {
B clone();
/**
* Set minimum number of segments. See concurrencyLevel in {@link ConcurrentHashMap}.
*
* @param minSegments the minimum number of segments in containers, constructed by this builder
* @return this builder object back
*/
B minSegments(int minSegments);
/**
* Configures the optimal number of bytes, taken by serialized form of keys, put into hash containers,
* created by this builder. If key size is always the same, call {@link #constantKeySizeBySample(Object)}
* method instead of this one.
*
* <p>If key size varies moderately, specify the size higher than average, but lower than the maximum
* possible, to minimize average memory overuse. If key size varies in a wide range, it's better to use
* {@linkplain #entrySize(int) entry size} in "chunk" mode and configure it directly.
*
* @param keySize number of bytes, taken by serialized form of keys
* @return this builder back
* @see #constantKeySizeBySample(Object)
* @see #entrySize(int)
*/
B keySize(int keySize);
/**
* Configures the constant number of bytes, taken by serialized form of keys, put into hash containers,
* created by this builder. This is done by providing the {@code sampleKey}, all keys should take the same
* number of bytes in serialized form, as this sample object.
*
* <p>If keys are of boxed primitive type or {@link Byteable} subclass, i. e. if key size is known
* statically, it is automatically accounted and this method shouldn't be called.
*
* <p>If key size varies, method {@link #keySize(int)} or {@link #entrySize(int)} should be called instead
* of this one.
*
* @param sampleKey the sample key
* @return this builder back
* @see #keySize(int)
*/
B constantKeySizeBySample(K sampleKey);
/**
* Configures the size in bytes of allocation unit of hash container instances, created by this builder.
*
* <p>{@link ChronicleMap} and {@link ChronicleSet} store their data off-heap, so it is required to
* serialize key (and values, in {@code ChronicleMap} case) (unless they are direct {@link Byteable}
* instances). Serialized key bytes (+ serialized value bytes, in {@code ChronicleMap} case) + some
* metadata bytes comprise "entry space", which {@code ChronicleMap} or {@code ChronicleSet} should
* allocate. So <i>entry size</i> is a minimum allocation portion in the hash containers, created by this
* builder. E. g. if entry size is 100, the created container could only allocate 100, 200, 300... bytes
* for an entry. If say 150 bytes of entry space are required by the entry, 200 bytes will be allocated,
* 150 used and 50 wasted. To minimize memory overuse and improve speed, you should pay decent attention
* to this configuration.
*
* <p>There are three major patterns of this configuration usage: <ol> <li>Key (and value, in {@code
* ChronicleMap} case) sizes are constant. Configure them via {@link #constantKeySizeBySample(Object)} and
* {@link ChronicleMapBuilder#constantValueSizeBySample(Object)} methods, and you will experience no
* memory waste at all.</li> <li>Key (and/or value size, in {@code ChronicleMap} case) varies moderately.
* Specify them using corresponding methods, or specify entry size directly by calling this method, by
* sizes somewhere between average and maximum possible. The idea is to have most (90% or more) entries to
* fit a single "entry size" with moderate memory waste (10-20% on average), rest 10% or less of entries
* should take 2 "entry sizes", thus with ~50% memory overuse.</li> <li>Key (and/or value size, in {@code
* ChronicleMap} case) varies in a wide range. Then it's best to use entry size configuration in <i>chunk
* mode</i>. Specify entry size so that most entries should take from 5 to several dozens of "chunks".
* With this approach, average memory waste should be very low.
*
* <p>However, remember that <ul> <li>Operations with entries that span several "entry sizes" are a bit
* slower, than entries which take a single "entry size". That is why "chunk" approach is not recommended,
* when key (and/or value size) varies moderately.</li> <li>The maximum number of chunks could be taken by
* an entry is 64. {@link IllegalArgumentException} is thrown on attempt to insert too large entry,
* compared to the configured or computed entry size.</li> <li>The number of "entries" {@linkplain
* #entries(long) in the whole map} and {@linkplain #actualEntriesPerSegment(int) per segment} is actually
* the number "chunks".</li> </ul>
*
* <p>Example: if values in your {@code ChronicleMap} are adjacency lists of some social graph, where
* nodes are represented as {@code long} ids, and adjacency lists are serialized in efficient manner, for
* example as {@code long[]} arrays. Typical number of connections is 100-300, maximum is 3000. In this
* case entry size of
* 50 * (8 bytes for each id) = 400 bytes would be a good choice: <pre>{@code
* Map<Long, long[]> socialGraph = ChronicleMapBuilder
* .of(Long.class, long[].class)
* // given that graph should have of 1 billion nodes, and 150 average adjacency list size
* // => values takes 3 chuncks on average
* .entries(1_000_000_000L * (150 / 50))
* .entrySize(50 * 8)
* .create();}</pre>
* It is minimum possible (because 3000 friends / 50 friends = 60 is close to 64 "max chunks by single
* entry" limit, and ensures moderate average memory overuse (not more than 20%). </li> </ol>
*
* @param entrySize the "chunk size" in bytes
* @return this builder back
* @see #entries(long)
*/
B entrySize(int entrySize);
/**
* Configures the maximum number of {@linkplain #entrySize(int) "entry size chunks"}, which could be taken
* by the maximum number of entries, inserted into the hash containers, created by this builder. If you
* try to insert more data, {@link IllegalStateException} might be thrown, because currently {@link
* ChronicleMap} and {@link ChronicleSet} doesn't support resizing.
*
* <ol> <li>If key size (and value size, in {@code ChronicleMap} case) is constant, this number is equal
* to the maximum number of entries (because each entry takes exactly one "entry size" memory unit).</li>
* <li>If key (and/or value, in {@code ChronicleMap} case) size varies moderately, you should pass to this
* method the maximum number of entries + 5-25%, depending on your data properties and configured
* {@linkplain #keySize(int) key}/{@linkplain ChronicleMapBuilder#valueSize(int) value}/{@linkplain
* #entrySize(int) entry} sizes.</li> <li>If your data size varies in a wide range, pass the maximum
* number of entries multiplied by average data size and divided by the configured "entry size" (i. e.
* chunk size). See an example in the documentation to {@link #entrySize(int)} method.</li> </ol>
*
* <p>You shouldn't put additional margin over the number, computed according the rules above. This bad
* practice was popularized by {@link HashMap#HashMap(int)} and {@link HashSet#HashSet(int)} constructors,
* which accept "capacity", that should be multiplied by "load factor" to obtain actual maximum expected
* number of entries. {@code ChronicleMap} and {@code ChronicleSet} don't have a notion of load factor.
*
* <p>Default value is 2^20 (~ 1 million).
*
* @param entries maximum size of the created maps, in memory allocation units, so-called "entry size"
* @return this builder back
* @see #entrySize(int)
*/
B entries(long entries);
B actualEntriesPerSegment(int actualEntriesPerSegment);
B actualSegments(int actualSegments);
B lockTimeOut(long lockTimeOut, TimeUnit unit);
B errorListener(ChronicleHashErrorListener errorListener);
B largeSegments(boolean largeSegments);
B metaDataBytes(int metaDataBytes);
B replicators(byte identifier, ReplicationConfig... replicators);
B channel(ChannelProvider.ChronicleChannel chronicleChannel);
B timeProvider(TimeProvider timeProvider);
B bytesMarshallerFactory(BytesMarshallerFactory bytesMarshallerFactory);
B objectSerializer(ObjectSerializer objectSerializer);
B keyMarshaller(@NotNull BytesMarshaller<K> keyMarshaller);
/**
* Specifies that key objects, queried with the hash containers, created by this builder, are inherently
* immutable. Keys in {@link ChronicleMap} or {@link ChronicleSet} are not required to be immutable, as in
* ordinary {@link Map} or {@link Set} implementations, because they are serialized off-heap. However,
* {@code ChronicleMap} and {@code ChronicleSet} implementations can benefit from the knowledge that keys
* are not mutated between queries.
*
* <p>By default, {@code ChronicleHashBuilder}s detects immutability automatically only for very few
* standard JDK types (for example, for {@link String}), it is not recommended to rely on {@code
* ChronicleHashBuilder} to be smart enough about this.
*
* @return this builder back
*/
B immutableKeys();
C create(File file) throws IOException;
C create() throws IOException;
}