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A driver for Scylla and Apache Cassandra 1.2+ that works exclusively with the Cassandra Query Language version 3 (CQL3) and Cassandra's binary protocol.

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/*
 * Copyright DataStax, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.datastax.driver.core;

import static com.datastax.driver.core.DataType.Name.LIST;
import static com.datastax.driver.core.DataType.Name.MAP;
import static com.datastax.driver.core.DataType.Name.SET;
import static com.google.common.base.Preconditions.checkNotNull;

import com.datastax.driver.core.exceptions.CodecNotFoundException;
import com.datastax.driver.core.utils.MoreObjects;
import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;
import com.google.common.cache.RemovalListener;
import com.google.common.cache.RemovalNotification;
import com.google.common.cache.Weigher;
import com.google.common.reflect.TypeToken;
import com.google.common.util.concurrent.UncheckedExecutionException;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.nio.ByteBuffer;
import java.util.EnumMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.ExecutionException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * A registry for {@link TypeCodec}s. When the driver needs to serialize or deserialize a Java type
 * to/from CQL, it will lookup in the registry for a suitable codec. The registry is initialized
 * with default codecs that handle basic conversions (e.g. CQL {@code text} to {@code
 * java.lang.String}), and users can add their own. Complex codecs can also be generated on-the-fly
 * from simpler ones (more details below).
 *
 * 

Creating a registry

* * By default, the driver uses {@link CodecRegistry#DEFAULT_INSTANCE}, a shareable, JVM-wide * instance initialized with built-in codecs for all the base CQL types. The only reason to create * your own instances is if you have multiple {@code Cluster} objects that use different sets of * codecs. In that case, use {@link * com.datastax.driver.core.Cluster.Builder#withCodecRegistry(CodecRegistry)} to associate the * registry with the cluster: * *
{@code
 * CodecRegistry myCodecRegistry = new CodecRegistry();
 * myCodecRegistry.register(myCodec1, myCodec2, myCodec3);
 * Cluster cluster = Cluster.builder().withCodecRegistry(myCodecRegistry).build();
 *
 * // To retrieve the registry later:
 * CodecRegistry registry = cluster.getConfiguration().getCodecRegistry();
 * }
* * {@code CodecRegistry} instances are thread-safe. * *

It is possible to turn on log messages by setting the {@code * com.datastax.driver.core.CodecRegistry} logger level to {@code TRACE}. Beware that the registry * can be very verbose at this log level. * *

Registering and using custom codecs

* * To create a custom codec, write a class that extends {@link TypeCodec}, create an instance, and * pass it to one of the {@link #register(TypeCodec) register} methods; for example, one could * create a codec that maps CQL timestamps to JDK8's {@code java.time.LocalDate}: * *
{@code
 * class LocalDateCodec extends TypeCodec {
 *    ...
 * }
 * myCodecRegistry.register(new LocalDateCodec());
 * }
* * The conversion will be available to: * *
    *
  • all driver types that implement {@link GettableByIndexData}, {@link GettableByNameData}, * {@link SettableByIndexData} and/or {@link SettableByNameData}. Namely: {@link Row}, {@link * BoundStatement}, {@link UDTValue} and {@link TupleValue}; *
  • {@link SimpleStatement#SimpleStatement(String, Object...) simple statements}; *
  • statements created with the {@link com.datastax.driver.core.querybuilder.QueryBuilder Query * builder}. *
* *

Example: * *

{@code
 * Row row = session.executeQuery("select date from some_table where pk = 1").one();
 * java.time.LocalDate date = row.get(0, java.time.LocalDate.class); // uses LocalDateCodec registered above
 * }
* * You can also bypass the codec registry by passing a standalone codec instance to methods such as * {@link GettableByIndexData#get(int, TypeCodec)}. * *

Codec generation

* * When a {@code CodecRegistry} cannot find a suitable codec among existing ones, it will attempt to * create it on-the-fly. It can manage: * *
    *
  • collections (lists, sets and maps) of known types. For example, if you registered a codec * for JDK8's {@code java.time.LocalDate} like in the example above, you get {@code * List>} and {@code Set>} handled for free, as well as all {@code Map} * types whose keys and/or values are {@code java.time.LocalDate}. This works recursively for * nested collections; *
  • {@link UserType user types}, mapped to {@link UDTValue} objects. Custom codecs are * available recursively to the UDT's fields, so if one of your fields is a {@code timestamp} * you can use your {@code LocalDateCodec} to retrieve it as a {@code java.time.LocalDate}; *
  • {@link TupleType tuple types}, mapped to {@link TupleValue} (with the same rules for nested * fields); *
  • {@link com.datastax.driver.core.DataType.CustomType custom types}, mapped to {@code * ByteBuffer}. *
* * If the codec registry encounters a mapping that it can't handle automatically, a {@link * CodecNotFoundException} is thrown; you'll need to register a custom codec for it. * *

Performance and caching

* * Whenever possible, the registry will cache the result of a codec lookup for a specific type * mapping, including any generated codec. For example, if you registered {@code LocalDateCodec} and * ask the registry for a codec to convert a CQL {@code list} to a Java {@code * List}: * *
    *
  1. the first lookup will generate a {@code TypeCodec>} from {@code * LocalDateCodec}, and put it in the cache; *
  2. the second lookup will hit the cache directly, and reuse the previously generated instance. *
* * The javadoc for each {@link #codecFor(DataType) codecFor} variant specifies whether the result * can be cached or not. * *

Codec order

* * When the registry looks up a codec, the rules of precedence are: * *
    *
  • if a result was previously cached for that mapping, it is returned; *
  • otherwise, the registry checks the list of built-in codecs – the default ones – and the * ones that were explicitly registered (in the order that they were registered). It calls * each codec's {@code accepts} methods to determine if it can handle the mapping, and if so * returns it; *
  • otherwise, the registry tries to generate a codec, according to the rules outlined above. *
* * It is currently impossible to override an existing codec. If you try to do so, {@link * #register(TypeCodec)} will log a warning and ignore it. */ public final class CodecRegistry { private static final Logger logger = LoggerFactory.getLogger(CodecRegistry.class); private static final Map> BUILT_IN_CODECS_MAP = new EnumMap>(DataType.Name.class); static { BUILT_IN_CODECS_MAP.put(DataType.Name.ASCII, TypeCodec.ascii()); BUILT_IN_CODECS_MAP.put(DataType.Name.BIGINT, TypeCodec.bigint()); BUILT_IN_CODECS_MAP.put(DataType.Name.BLOB, TypeCodec.blob()); BUILT_IN_CODECS_MAP.put(DataType.Name.BOOLEAN, TypeCodec.cboolean()); BUILT_IN_CODECS_MAP.put(DataType.Name.COUNTER, TypeCodec.counter()); BUILT_IN_CODECS_MAP.put(DataType.Name.DECIMAL, TypeCodec.decimal()); BUILT_IN_CODECS_MAP.put(DataType.Name.DOUBLE, TypeCodec.cdouble()); BUILT_IN_CODECS_MAP.put(DataType.Name.FLOAT, TypeCodec.cfloat()); BUILT_IN_CODECS_MAP.put(DataType.Name.INET, TypeCodec.inet()); BUILT_IN_CODECS_MAP.put(DataType.Name.INT, TypeCodec.cint()); BUILT_IN_CODECS_MAP.put(DataType.Name.TEXT, TypeCodec.varchar()); BUILT_IN_CODECS_MAP.put(DataType.Name.TIMESTAMP, TypeCodec.timestamp()); BUILT_IN_CODECS_MAP.put(DataType.Name.UUID, TypeCodec.uuid()); BUILT_IN_CODECS_MAP.put(DataType.Name.VARCHAR, TypeCodec.varchar()); BUILT_IN_CODECS_MAP.put(DataType.Name.VARINT, TypeCodec.varint()); BUILT_IN_CODECS_MAP.put(DataType.Name.TIMEUUID, TypeCodec.timeUUID()); BUILT_IN_CODECS_MAP.put(DataType.Name.SMALLINT, TypeCodec.smallInt()); BUILT_IN_CODECS_MAP.put(DataType.Name.TINYINT, TypeCodec.tinyInt()); BUILT_IN_CODECS_MAP.put(DataType.Name.DATE, TypeCodec.date()); BUILT_IN_CODECS_MAP.put(DataType.Name.TIME, TypeCodec.time()); BUILT_IN_CODECS_MAP.put(DataType.Name.DURATION, TypeCodec.duration()); } // roughly sorted by popularity private static final TypeCodec[] BUILT_IN_CODECS = new TypeCodec[] { TypeCodec .varchar(), // must be declared before AsciiCodec so it gets chosen when CQL type not // available TypeCodec .uuid(), // must be declared before TimeUUIDCodec so it gets chosen when CQL type not // available TypeCodec.timeUUID(), TypeCodec.timestamp(), TypeCodec.cint(), TypeCodec.bigint(), TypeCodec.blob(), TypeCodec.cdouble(), TypeCodec.cfloat(), TypeCodec.decimal(), TypeCodec.varint(), TypeCodec.inet(), TypeCodec.cboolean(), TypeCodec.smallInt(), TypeCodec.tinyInt(), TypeCodec.date(), TypeCodec.time(), TypeCodec.duration(), TypeCodec.counter(), TypeCodec.ascii() }; /** * The default {@code CodecRegistry} instance. * *

It will be shared among all {@link Cluster} instances that were not explicitly built with a * different instance. */ public static final CodecRegistry DEFAULT_INSTANCE = new CodecRegistry(); /** Cache key for the codecs cache. */ private static final class CacheKey { private final DataType cqlType; private final TypeToken javaType; CacheKey(DataType cqlType, TypeToken javaType) { this.javaType = javaType; this.cqlType = cqlType; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; CacheKey cacheKey = (CacheKey) o; return MoreObjects.equal(cqlType, cacheKey.cqlType) && MoreObjects.equal(javaType, cacheKey.javaType); } @Override public int hashCode() { return MoreObjects.hashCode(cqlType, javaType); } } /** Cache loader for the codecs cache. */ private class TypeCodecCacheLoader extends CacheLoader> { @Override public TypeCodec load(CacheKey cacheKey) { checkNotNull(cacheKey.cqlType, "Parameter cqlType cannot be null"); if (logger.isTraceEnabled()) logger.trace( "Loading codec into cache: [{} <-> {}]", CodecRegistry.toString(cacheKey.cqlType), CodecRegistry.toString(cacheKey.javaType)); for (TypeCodec codec : codecs) { if (codec.accepts(cacheKey.cqlType) && (cacheKey.javaType == null || codec.accepts(cacheKey.javaType))) { logger.trace("Already existing codec found: {}", codec); return codec; } } return createCodec(cacheKey.cqlType, cacheKey.javaType); } } /** * A complexity-based weigher for the codecs cache. Weights are computed mainly according to the * CQL type: * *

    *
  1. Manually-registered codecs always weigh 0; *
  2. Codecs for primitive types weigh 0; *
  3. Codecs for collections weigh the total weight of their inner types + the weight of their * level of deepness; *
  4. Codecs for UDTs and tuples weigh the total weight of their inner types + the weight of * their level of deepness, but cannot weigh less than 1; *
  5. Codecs for custom (non-CQL) types weigh 1. *
* * A consequence of this algorithm is that codecs for primitive types and codecs for all "shallow" * collections thereof are never evicted. */ private class TypeCodecWeigher implements Weigher> { @Override public int weigh(CacheKey key, TypeCodec value) { return codecs.contains(value) ? 0 : weigh(value.cqlType, 0); } private int weigh(DataType cqlType, int level) { switch (cqlType.getName()) { case LIST: case SET: case MAP: { int weight = level; for (DataType eltType : cqlType.getTypeArguments()) { weight += weigh(eltType, level + 1); } return weight; } case UDT: { int weight = level; for (UserType.Field field : ((UserType) cqlType)) { weight += weigh(field.getType(), level + 1); } return weight == 0 ? 1 : weight; } case TUPLE: { int weight = level; for (DataType componentType : ((TupleType) cqlType).getComponentTypes()) { weight += weigh(componentType, level + 1); } return weight == 0 ? 1 : weight; } case CUSTOM: return 1; default: return 0; } } } /** * Simple removal listener for the codec cache (can be used for debugging purposes by setting the * {@code com.datastax.driver.core.CodecRegistry} logger level to {@code TRACE}. */ private class TypeCodecRemovalListener implements RemovalListener> { @Override public void onRemoval(RemovalNotification> notification) { logger.trace( "Evicting codec from cache: {} (cause: {})", notification.getValue(), notification.getCause()); } } /** The list of user-registered codecs. */ private final CopyOnWriteArrayList> codecs; /** * A LoadingCache to serve requests for codecs whenever possible. The cache can be used as long as * at least the CQL type is known. */ private final LoadingCache> cache; /** Creates a new instance initialized with built-in codecs for all the base CQL types. */ public CodecRegistry() { this.codecs = new CopyOnWriteArrayList>(); this.cache = defaultCacheBuilder().build(new TypeCodecCacheLoader()); } private CacheBuilder> defaultCacheBuilder() { CacheBuilder> builder = CacheBuilder.newBuilder() // lists, sets and maps of 20 primitive types = 20 + 20 + 20*20 = 440 codecs, // so let's start with roughly 1/4 of that .initialCapacity(100) .maximumWeight(1000) .weigher(new TypeCodecWeigher()); if (logger.isTraceEnabled()) // do not bother adding a listener if it will be ineffective builder = builder.removalListener(new TypeCodecRemovalListener()); return builder; } /** * Register the given codec with this registry. * *

This method will log a warning and ignore the codec if it collides with a previously * registered one. Note that this check is not done in a completely thread-safe manner; codecs * should typically be registered at application startup, not in a highly concurrent context (if a * race condition occurs, the worst possible outcome is that no warning gets logged, and the codec * gets registered but will never actually be used). * * @param newCodec The codec to add to the registry. * @return this CodecRegistry (for method chaining). */ public CodecRegistry register(TypeCodec newCodec) { for (TypeCodec oldCodec : BUILT_IN_CODECS) { if (oldCodec.accepts(newCodec.getCqlType()) && oldCodec.accepts(newCodec.getJavaType())) { logger.warn( "Ignoring codec {} because it collides with previously registered codec {}", newCodec, oldCodec); return this; } } for (TypeCodec oldCodec : codecs) { if (oldCodec.accepts(newCodec.getCqlType()) && oldCodec.accepts(newCodec.getJavaType())) { logger.warn( "Ignoring codec {} because it collides with previously registered codec {}", newCodec, oldCodec); return this; } } CacheKey key = new CacheKey(newCodec.getCqlType(), newCodec.getJavaType()); TypeCodec existing = cache.getIfPresent(key); if (existing != null) { logger.warn( "Ignoring codec {} because it collides with previously generated codec {}", newCodec, existing); return this; } this.codecs.add(newCodec); return this; } /** * Register the given codecs with this registry. * * @param codecs The codecs to add to the registry. * @return this CodecRegistry (for method chaining). * @see #register(TypeCodec) */ public CodecRegistry register(TypeCodec... codecs) { for (TypeCodec codec : codecs) register(codec); return this; } /** * Register the given codecs with this registry. * * @param codecs The codecs to add to the registry. * @return this CodecRegistry (for method chaining). * @see #register(TypeCodec) */ public CodecRegistry register(Iterable> codecs) { for (TypeCodec codec : codecs) register(codec); return this; } /** * Returns a {@link TypeCodec codec} that accepts the given value. * *

This method takes an arbitrary Java object and tries to locate a suitable codec for it. * Codecs must perform a {@link TypeCodec#accepts(Object) runtime inspection} of the object to * determine if they can accept it or not, which, depending on the implementations, can be * expensive; besides, the resulting codec cannot be cached. Therefore there might be a * performance penalty when using this method. * *

Furthermore, this method returns the first matching codec, regardless of its accepted CQL * type. It should be reserved for situations where the target CQL type is not available or * unknown. In the Java driver, this happens mainly when serializing a value in a {@link * SimpleStatement#SimpleStatement(String, Object...) SimpleStatement} or in the {@link * com.datastax.driver.core.querybuilder.QueryBuilder}, where no CQL type information is * available. * *

Codecs returned by this method are NOT cached (see the {@link CodecRegistry * top-level documentation} of this class for more explanations about caching). * * @param value The value the codec should accept; must not be {@code null}. * @return A suitable codec. * @throws CodecNotFoundException if a suitable codec cannot be found. */ public TypeCodec codecFor(T value) { return findCodec(null, value); } /** * Returns a {@link TypeCodec codec} that accepts the given {@link DataType CQL type}. * *

This method returns the first matching codec, regardless of its accepted Java type. It * should be reserved for situations where the Java type is not available or unknown. In the Java * driver, this happens mainly when deserializing a value using the {@link * GettableByIndexData#getObject(int) getObject} method. * *

Codecs returned by this method are cached (see the {@link CodecRegistry top-level * documentation} of this class for more explanations about caching). * * @param cqlType The {@link DataType CQL type} the codec should accept; must not be {@code null}. * @return A suitable codec. * @throws CodecNotFoundException if a suitable codec cannot be found. */ public TypeCodec codecFor(DataType cqlType) throws CodecNotFoundException { return lookupCodec(cqlType, null); } /** * Returns a {@link TypeCodec codec} that accepts the given {@link DataType CQL type} and the * given Java class. * *

This method can only handle raw (non-parameterized) Java types. For parameterized types, use * {@link #codecFor(DataType, TypeToken)} instead. * *

Codecs returned by this method are cached (see the {@link CodecRegistry top-level * documentation} of this class for more explanations about caching). * * @param cqlType The {@link DataType CQL type} the codec should accept; must not be {@code null}. * @param javaType The Java type the codec should accept; can be {@code null}. * @return A suitable codec. * @throws CodecNotFoundException if a suitable codec cannot be found. */ public TypeCodec codecFor(DataType cqlType, Class javaType) throws CodecNotFoundException { return codecFor(cqlType, TypeToken.of(javaType)); } /** * Returns a {@link TypeCodec codec} that accepts the given {@link DataType CQL type} and the * given Java type. * *

This method handles parameterized types thanks to Guava's {@link TypeToken} API. * *

Codecs returned by this method are cached (see the {@link CodecRegistry top-level * documentation} of this class for more explanations about caching). * * @param cqlType The {@link DataType CQL type} the codec should accept; must not be {@code null}. * @param javaType The {@link TypeToken Java type} the codec should accept; can be {@code null}. * @return A suitable codec. * @throws CodecNotFoundException if a suitable codec cannot be found. */ public TypeCodec codecFor(DataType cqlType, TypeToken javaType) throws CodecNotFoundException { return lookupCodec(cqlType, javaType); } /** * Returns a {@link TypeCodec codec} that accepts the given {@link DataType CQL type} and the * given value. * *

This method takes an arbitrary Java object and tries to locate a suitable codec for it. * Codecs must perform a {@link TypeCodec#accepts(Object) runtime inspection} of the object to * determine if they can accept it or not, which, depending on the implementations, can be * expensive; besides, the resulting codec cannot be cached. Therefore there might be a * performance penalty when using this method. * *

Codecs returned by this method are NOT cached (see the {@link CodecRegistry * top-level documentation} of this class for more explanations about caching). * * @param cqlType The {@link DataType CQL type} the codec should accept; can be {@code null}. * @param value The value the codec should accept; must not be {@code null}. * @return A suitable codec. * @throws CodecNotFoundException if a suitable codec cannot be found. */ public TypeCodec codecFor(DataType cqlType, T value) { return findCodec(cqlType, value); } @SuppressWarnings("unchecked") private TypeCodec lookupCodec(DataType cqlType, TypeToken javaType) { checkNotNull(cqlType, "Parameter cqlType cannot be null"); TypeCodec codec = BUILT_IN_CODECS_MAP.get(cqlType.getName()); if (codec != null && (javaType == null || codec.accepts(javaType))) { logger.trace("Returning built-in codec {}", codec); return (TypeCodec) codec; } if (logger.isTraceEnabled()) logger.trace("Querying cache for codec [{} <-> {}]", toString(cqlType), toString(javaType)); try { CacheKey cacheKey = new CacheKey(cqlType, javaType); codec = cache.get(cacheKey); } catch (UncheckedExecutionException e) { if (e.getCause() instanceof CodecNotFoundException) { throw (CodecNotFoundException) e.getCause(); } throw new CodecNotFoundException(e.getCause(), cqlType, javaType); } catch (RuntimeException e) { throw new CodecNotFoundException(e.getCause(), cqlType, javaType); } catch (ExecutionException e) { throw new CodecNotFoundException(e.getCause(), cqlType, javaType); } logger.trace("Returning cached codec {}", codec); return (TypeCodec) codec; } @SuppressWarnings("unchecked") private TypeCodec findCodec(DataType cqlType, TypeToken javaType) { checkNotNull(cqlType, "Parameter cqlType cannot be null"); if (logger.isTraceEnabled()) logger.trace("Looking for codec [{} <-> {}]", toString(cqlType), toString(javaType)); // Look at the built-in codecs first for (TypeCodec codec : BUILT_IN_CODECS) { if (codec.accepts(cqlType) && (javaType == null || codec.accepts(javaType))) { logger.trace("Built-in codec found: {}", codec); return (TypeCodec) codec; } } // Look at the user-registered codecs next for (TypeCodec codec : codecs) { if (codec.accepts(cqlType) && (javaType == null || codec.accepts(javaType))) { logger.trace("Already registered codec found: {}", codec); return (TypeCodec) codec; } } return createCodec(cqlType, javaType); } @SuppressWarnings("unchecked") private TypeCodec findCodec(DataType cqlType, T value) { checkNotNull(value, "Parameter value cannot be null"); if (logger.isTraceEnabled()) logger.trace("Looking for codec [{} <-> {}]", toString(cqlType), value.getClass()); // Look at the built-in codecs first for (TypeCodec codec : BUILT_IN_CODECS) { if ((cqlType == null || codec.accepts(cqlType)) && codec.accepts(value)) { logger.trace("Built-in codec found: {}", codec); return (TypeCodec) codec; } } // Look at the user-registered codecs next for (TypeCodec codec : codecs) { if ((cqlType == null || codec.accepts(cqlType)) && codec.accepts(value)) { logger.trace("Already registered codec found: {}", codec); return (TypeCodec) codec; } } return createCodec(cqlType, value); } private TypeCodec createCodec(DataType cqlType, TypeToken javaType) { TypeCodec codec = maybeCreateCodec(cqlType, javaType); if (codec == null) throw notFound(cqlType, javaType); // double-check that the created codec satisfies the initial request // this check can fail specially when creating codecs for collections // e.g. if B extends A and there is a codec registered for A and // we request a codec for List, the registry would generate a codec for List if (!codec.accepts(cqlType) || (javaType != null && !codec.accepts(javaType))) throw notFound(cqlType, javaType); logger.trace("Codec created: {}", codec); return codec; } private TypeCodec createCodec(DataType cqlType, T value) { TypeCodec codec = maybeCreateCodec(cqlType, value); if (codec == null) throw notFound(cqlType, TypeToken.of(value.getClass())); // double-check that the created codec satisfies the initial request if ((cqlType != null && !codec.accepts(cqlType)) || !codec.accepts(value)) throw notFound(cqlType, TypeToken.of(value.getClass())); logger.trace("Codec created: {}", codec); return codec; } @SuppressWarnings("unchecked") private TypeCodec maybeCreateCodec(DataType cqlType, TypeToken javaType) { checkNotNull(cqlType); if (cqlType.getName() == LIST && (javaType == null || List.class.isAssignableFrom(javaType.getRawType()))) { TypeToken elementType = null; if (javaType != null && javaType.getType() instanceof ParameterizedType) { Type[] typeArguments = ((ParameterizedType) javaType.getType()).getActualTypeArguments(); elementType = TypeToken.of(typeArguments[0]); } TypeCodec eltCodec = findCodec(cqlType.getTypeArguments().get(0), elementType); return (TypeCodec) TypeCodec.list(eltCodec); } if (cqlType.getName() == SET && (javaType == null || Set.class.isAssignableFrom(javaType.getRawType()))) { TypeToken elementType = null; if (javaType != null && javaType.getType() instanceof ParameterizedType) { Type[] typeArguments = ((ParameterizedType) javaType.getType()).getActualTypeArguments(); elementType = TypeToken.of(typeArguments[0]); } TypeCodec eltCodec = findCodec(cqlType.getTypeArguments().get(0), elementType); return (TypeCodec) TypeCodec.set(eltCodec); } if (cqlType.getName() == MAP && (javaType == null || Map.class.isAssignableFrom(javaType.getRawType()))) { TypeToken keyType = null; TypeToken valueType = null; if (javaType != null && javaType.getType() instanceof ParameterizedType) { Type[] typeArguments = ((ParameterizedType) javaType.getType()).getActualTypeArguments(); keyType = TypeToken.of(typeArguments[0]); valueType = TypeToken.of(typeArguments[1]); } TypeCodec keyCodec = findCodec(cqlType.getTypeArguments().get(0), keyType); TypeCodec valueCodec = findCodec(cqlType.getTypeArguments().get(1), valueType); return (TypeCodec) TypeCodec.map(keyCodec, valueCodec); } if (cqlType instanceof TupleType && (javaType == null || TupleValue.class.isAssignableFrom(javaType.getRawType()))) { return (TypeCodec) TypeCodec.tuple((TupleType) cqlType); } if (cqlType instanceof UserType && (javaType == null || UDTValue.class.isAssignableFrom(javaType.getRawType()))) { return (TypeCodec) TypeCodec.userType((UserType) cqlType); } if (cqlType instanceof DataType.CustomType && (javaType == null || ByteBuffer.class.isAssignableFrom(javaType.getRawType()))) { return (TypeCodec) TypeCodec.custom((DataType.CustomType) cqlType); } return null; } @SuppressWarnings({"unchecked", "rawtypes"}) private TypeCodec maybeCreateCodec(DataType cqlType, T value) { checkNotNull(value); if ((cqlType == null || cqlType.getName() == LIST) && value instanceof List) { List list = (List) value; if (list.isEmpty()) { DataType elementType = (cqlType == null || cqlType.getTypeArguments().isEmpty()) ? DataType.blob() : cqlType.getTypeArguments().get(0); return TypeCodec.list(findCodec(elementType, (TypeToken) null)); } else { DataType elementType = (cqlType == null || cqlType.getTypeArguments().isEmpty()) ? null : cqlType.getTypeArguments().get(0); return (TypeCodec) TypeCodec.list(findCodec(elementType, list.iterator().next())); } } if ((cqlType == null || cqlType.getName() == SET) && value instanceof Set) { Set set = (Set) value; if (set.isEmpty()) { DataType elementType = (cqlType == null || cqlType.getTypeArguments().isEmpty()) ? DataType.blob() : cqlType.getTypeArguments().get(0); return TypeCodec.set(findCodec(elementType, (TypeToken) null)); } else { DataType elementType = (cqlType == null || cqlType.getTypeArguments().isEmpty()) ? null : cqlType.getTypeArguments().get(0); return (TypeCodec) TypeCodec.set(findCodec(elementType, set.iterator().next())); } } if ((cqlType == null || cqlType.getName() == MAP) && value instanceof Map) { Map map = (Map) value; if (map.isEmpty()) { DataType keyType = (cqlType == null || cqlType.getTypeArguments().size() < 1) ? DataType.blob() : cqlType.getTypeArguments().get(0); DataType valueType = (cqlType == null || cqlType.getTypeArguments().size() < 2) ? DataType.blob() : cqlType.getTypeArguments().get(1); return TypeCodec.map( findCodec(keyType, (TypeToken) null), findCodec(valueType, (TypeToken) null)); } else { DataType keyType = (cqlType == null || cqlType.getTypeArguments().size() < 1) ? null : cqlType.getTypeArguments().get(0); DataType valueType = (cqlType == null || cqlType.getTypeArguments().size() < 2) ? null : cqlType.getTypeArguments().get(1); Map.Entry entry = (Map.Entry) map.entrySet().iterator().next(); return (TypeCodec) TypeCodec.map( findCodec(keyType, entry.getKey()), findCodec(valueType, entry.getValue())); } } if ((cqlType == null || cqlType.getName() == DataType.Name.TUPLE) && value instanceof TupleValue) { return (TypeCodec) TypeCodec.tuple(cqlType == null ? ((TupleValue) value).getType() : (TupleType) cqlType); } if ((cqlType == null || cqlType.getName() == DataType.Name.UDT) && value instanceof UDTValue) { return (TypeCodec) TypeCodec.userType(cqlType == null ? ((UDTValue) value).getType() : (UserType) cqlType); } if ((cqlType != null && cqlType instanceof DataType.CustomType) && value instanceof ByteBuffer) { return (TypeCodec) TypeCodec.custom((DataType.CustomType) cqlType); } return null; } private static CodecNotFoundException notFound(DataType cqlType, TypeToken javaType) { String msg = String.format( "Codec not found for requested operation: [%s <-> %s]", toString(cqlType), toString(javaType)); return new CodecNotFoundException(msg, cqlType, javaType); } private static String toString(Object value) { return value == null ? "ANY" : value.toString(); } }





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