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