com.fasterxml.jackson.core.StreamReadCapability Maven / Gradle / Ivy
Show all versions of redisson-all Show documentation
package com.fasterxml.jackson.core;
import com.fasterxml.jackson.core.util.JacksonFeature;
/**
* Set of on/off capabilities that a {@link JsonParser} for given format
* (or in case of buffering, original format) has.
* Used in some cases to adjust aspects of things like content conversions,
* coercions and validation by format-agnostic functionality.
* Specific or expected usage documented by individual capability entry
* Javadocs.
*
* @since 2.12
*/
public enum StreamReadCapability
implements JacksonFeature
{
/**
* Capability that indicates that data format can expose multiple properties
* with same name ("duplicates") within one Object context.
* This is usually not enabled, except for formats like {@code xml} that
* have content model that does not map cleanly to JSON-based token stream.
*
* Capability may be used for allowing secondary mapping of such duplicates
* in case of using Tree Model (see {@link TreeNode}), or "untyped" databinding
* (mapping content as generic {@link java.lang.Object}).
*
* Capability is currently only enabled for XML format backend.
*/
DUPLICATE_PROPERTIES(false),
/**
* Capability that indicates that data format may in some cases expose Scalar values
* (whether typed or untyped) as Object values. There are additional access methods
* at databind level: this capability may be used to decide whether to attempt to
* use such methods especially in potentially ambiguous cases.
*
* Capability is currently only enabled for XML format backend.
*/
SCALARS_AS_OBJECTS(false),
/**
* Capability that indicates that data format only exposed "untyped" scalars: that is,
* instead of Number, Boolean and String types all scalar values are reported as
* text ({@link JsonToken#VALUE_STRING})
* unless some sort of coercion is implied by caller.
*
* This capability is true for many textual formats like CSV, Properties and XML.
*/
UNTYPED_SCALARS(false),
/**
* Capability that indicates whether data format supports reporting of
* accurate floating point values (with respect to reported numeric type,
* {@link com.fasterxml.jackson.core.JsonParser.NumberType#DOUBLE}) or not.
* This usually depends on whether format stores such values natively
* (as IEEE binary FP formats for {@code java.lang.Float} and {@code java.lang.Double};
* using some other value preserving presentation for {@code java.math.BigDecimal})
* or not: most binary formats do, and most textual formats do not (at least for
* {@code Float} and {@code Double}, specifically).
*
* In case of JSON numbers (as well as for most if not all textual formats),
* all floating-point numbers are represented simply by decimal (10-base)
* textual representation and can only be represented accurately using
* {@link java.math.BigDecimal}. But for performance reasons they may be
* (depending on settings) be exposed as {@link java.lang.Double}s (that is,
* {@link com.fasterxml.jackson.core.JsonParser.NumberType#DOUBLE}).
* Note that methods like {@link JsonParser#getNumberValueExact()},
* {@link JsonParser#getValueAsString()} and
* {@link JsonParser#getDecimalValue()} report values without
* precision loss.
*
* The main intended use case is to let non-Jackson code to handle cases
* where exact accuracy is necessary in a way that handling does not incur
* unnecessary conversions across different formats: for example, when reading
* binary format, simple access is essentially guaranteed to expose value exactly
* as encoded by the format (as {@code float}, {@code double} or {@code BigDecimal}),
* whereas for textual formats like JSON it is necessary to access value explicitly
* as {@code BigDecimal} using {@code JsonParser#getDecimalValue}.
*
* Capability is false for text formats like JSON, but true for binary formats
* like Smile, MessagePack, etc., where type is precisely and inexpensively
* indicated by format.
*
* @since 2.14
*/
EXACT_FLOATS(false)
;
/**
* Whether feature is enabled or disabled by default.
*/
private final boolean _defaultState;
private final int _mask;
private StreamReadCapability(boolean defaultState) {
_defaultState = defaultState;
_mask = (1 << ordinal());
}
@Override
public boolean enabledByDefault() { return _defaultState; }
@Override
public boolean enabledIn(int flags) { return (flags & _mask) != 0; }
@Override
public int getMask() { return _mask; }
}