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/**
* Autogenerated by Avro
*
* DO NOT EDIT DIRECTLY
*/
package org.apache.hudi.avro.model;
import org.apache.avro.generic.GenericArray;
import org.apache.avro.specific.SpecificData;
import org.apache.avro.util.Utf8;
import org.apache.avro.message.BinaryMessageEncoder;
import org.apache.avro.message.BinaryMessageDecoder;
import org.apache.avro.message.SchemaStore;
/** Data file column statistics */
@org.apache.avro.specific.AvroGenerated
public class HoodieMetadataColumnStats extends org.apache.avro.specific.SpecificRecordBase implements org.apache.avro.specific.SpecificRecord {
private static final long serialVersionUID = -2606839461509618679L;
public static final org.apache.avro.Schema SCHEMA$ = new org.apache.avro.Schema.Parser().parse("{\"type\":\"record\",\"name\":\"HoodieMetadataColumnStats\",\"namespace\":\"org.apache.hudi.avro.model\",\"doc\":\"Data file column statistics\",\"fields\":[{\"name\":\"fileName\",\"type\":[\"null\",{\"type\":\"string\",\"avro.java.string\":\"String\"}],\"doc\":\"File name for which this column statistics applies\",\"default\":null},{\"name\":\"columnName\",\"type\":[\"null\",{\"type\":\"string\",\"avro.java.string\":\"String\"}],\"doc\":\"Column name for which this column statistics applies\",\"default\":null},{\"name\":\"minValue\",\"type\":[\"null\",{\"type\":\"record\",\"name\":\"BooleanWrapper\",\"doc\":\"A record wrapping boolean type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"boolean\"}]},{\"type\":\"record\",\"name\":\"IntWrapper\",\"doc\":\"A record wrapping int type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"int\"}]},{\"type\":\"record\",\"name\":\"LongWrapper\",\"doc\":\"A record wrapping long type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"long\"}]},{\"type\":\"record\",\"name\":\"FloatWrapper\",\"doc\":\"A record wrapping float type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"float\"}]},{\"type\":\"record\",\"name\":\"DoubleWrapper\",\"doc\":\"A record wrapping double type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"double\"}]},{\"type\":\"record\",\"name\":\"BytesWrapper\",\"doc\":\"A record wrapping bytes type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"bytes\"}]},{\"type\":\"record\",\"name\":\"StringWrapper\",\"doc\":\"A record wrapping string type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":{\"type\":\"string\",\"avro.java.string\":\"String\"}}]},{\"type\":\"record\",\"name\":\"DateWrapper\",\"doc\":\"A record wrapping Date logical type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"int\"}]},{\"type\":\"record\",\"name\":\"DecimalWrapper\",\"doc\":\"A record wrapping Decimal logical type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":{\"type\":\"bytes\",\"logicalType\":\"decimal\",\"precision\":30,\"scale\":15}}]},{\"type\":\"record\",\"name\":\"TimeMicrosWrapper\",\"doc\":\"A record wrapping Time-micros logical type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":{\"type\":\"long\",\"logicalType\":\"time-micros\"}}]},{\"type\":\"record\",\"name\":\"TimestampMicrosWrapper\",\"doc\":\"A record wrapping Timestamp-micros logical type to be able to be used it w/in Avro's Union\",\"fields\":[{\"name\":\"value\",\"type\":\"long\"}]}],\"doc\":\"Minimum value in the range. Based on user data table schema, we can convert this to appropriate type\",\"default\":null},{\"name\":\"maxValue\",\"type\":[\"null\",\"BooleanWrapper\",\"IntWrapper\",\"LongWrapper\",\"FloatWrapper\",\"DoubleWrapper\",\"BytesWrapper\",\"StringWrapper\",\"DateWrapper\",\"DecimalWrapper\",\"TimeMicrosWrapper\",\"TimestampMicrosWrapper\"],\"doc\":\"Maximum value in the range. Based on user data table schema, we can convert it to appropriate type\",\"default\":null},{\"name\":\"valueCount\",\"type\":[\"null\",\"long\"],\"doc\":\"Total count of values\",\"default\":null},{\"name\":\"nullCount\",\"type\":[\"null\",\"long\"],\"doc\":\"Total count of null values\",\"default\":null},{\"name\":\"totalSize\",\"type\":[\"null\",\"long\"],\"doc\":\"Total storage size on disk\",\"default\":null},{\"name\":\"totalUncompressedSize\",\"type\":[\"null\",\"long\"],\"doc\":\"Total uncompressed storage size on disk\",\"default\":null},{\"name\":\"isDeleted\",\"type\":\"boolean\",\"doc\":\"Column range entry valid/deleted flag\"}]}");
public static org.apache.avro.Schema getClassSchema() { return SCHEMA$; }
private static SpecificData MODEL$ = new SpecificData();
static {
MODEL$.addLogicalTypeConversion(new org.apache.avro.data.TimeConversions.TimeMillisConversion());
}
private static final BinaryMessageEncoder ENCODER =
new BinaryMessageEncoder(MODEL$, SCHEMA$);
private static final BinaryMessageDecoder DECODER =
new BinaryMessageDecoder(MODEL$, SCHEMA$);
/**
* Return the BinaryMessageEncoder instance used by this class.
* @return the message encoder used by this class
*/
public static BinaryMessageEncoder getEncoder() {
return ENCODER;
}
/**
* Return the BinaryMessageDecoder instance used by this class.
* @return the message decoder used by this class
*/
public static BinaryMessageDecoder getDecoder() {
return DECODER;
}
/**
* Create a new BinaryMessageDecoder instance for this class that uses the specified {@link SchemaStore}.
* @param resolver a {@link SchemaStore} used to find schemas by fingerprint
* @return a BinaryMessageDecoder instance for this class backed by the given SchemaStore
*/
public static BinaryMessageDecoder createDecoder(SchemaStore resolver) {
return new BinaryMessageDecoder(MODEL$, SCHEMA$, resolver);
}
/**
* Serializes this HoodieMetadataColumnStats to a ByteBuffer.
* @return a buffer holding the serialized data for this instance
* @throws java.io.IOException if this instance could not be serialized
*/
public java.nio.ByteBuffer toByteBuffer() throws java.io.IOException {
return ENCODER.encode(this);
}
/**
* Deserializes a HoodieMetadataColumnStats from a ByteBuffer.
* @param b a byte buffer holding serialized data for an instance of this class
* @return a HoodieMetadataColumnStats instance decoded from the given buffer
* @throws java.io.IOException if the given bytes could not be deserialized into an instance of this class
*/
public static HoodieMetadataColumnStats fromByteBuffer(
java.nio.ByteBuffer b) throws java.io.IOException {
return DECODER.decode(b);
}
/** File name for which this column statistics applies */
private java.lang.String fileName;
/** Column name for which this column statistics applies */
private java.lang.String columnName;
/** Minimum value in the range. Based on user data table schema, we can convert this to appropriate type */
private java.lang.Object minValue;
/** Maximum value in the range. Based on user data table schema, we can convert it to appropriate type */
private java.lang.Object maxValue;
/** Total count of values */
private java.lang.Long valueCount;
/** Total count of null values */
private java.lang.Long nullCount;
/** Total storage size on disk */
private java.lang.Long totalSize;
/** Total uncompressed storage size on disk */
private java.lang.Long totalUncompressedSize;
/** Column range entry valid/deleted flag */
private boolean isDeleted;
/**
* Default constructor. Note that this does not initialize fields
* to their default values from the schema. If that is desired then
* one should use newBuilder().
*/
public HoodieMetadataColumnStats() {}
/**
* All-args constructor.
* @param fileName File name for which this column statistics applies
* @param columnName Column name for which this column statistics applies
* @param minValue Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @param maxValue Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @param valueCount Total count of values
* @param nullCount Total count of null values
* @param totalSize Total storage size on disk
* @param totalUncompressedSize Total uncompressed storage size on disk
* @param isDeleted Column range entry valid/deleted flag
*/
public HoodieMetadataColumnStats(java.lang.String fileName, java.lang.String columnName, java.lang.Object minValue, java.lang.Object maxValue, java.lang.Long valueCount, java.lang.Long nullCount, java.lang.Long totalSize, java.lang.Long totalUncompressedSize, java.lang.Boolean isDeleted) {
this.fileName = fileName;
this.columnName = columnName;
this.minValue = minValue;
this.maxValue = maxValue;
this.valueCount = valueCount;
this.nullCount = nullCount;
this.totalSize = totalSize;
this.totalUncompressedSize = totalUncompressedSize;
this.isDeleted = isDeleted;
}
public org.apache.avro.specific.SpecificData getSpecificData() { return MODEL$; }
public org.apache.avro.Schema getSchema() { return SCHEMA$; }
// Used by DatumWriter. Applications should not call.
public java.lang.Object get(int field$) {
switch (field$) {
case 0: return fileName;
case 1: return columnName;
case 2: return minValue;
case 3: return maxValue;
case 4: return valueCount;
case 5: return nullCount;
case 6: return totalSize;
case 7: return totalUncompressedSize;
case 8: return isDeleted;
default: throw new IndexOutOfBoundsException("Invalid index: " + field$);
}
}
// Used by DatumReader. Applications should not call.
@SuppressWarnings(value="unchecked")
public void put(int field$, java.lang.Object value$) {
switch (field$) {
case 0: fileName = value$ != null ? value$.toString() : null; break;
case 1: columnName = value$ != null ? value$.toString() : null; break;
case 2: minValue = value$; break;
case 3: maxValue = value$; break;
case 4: valueCount = (java.lang.Long)value$; break;
case 5: nullCount = (java.lang.Long)value$; break;
case 6: totalSize = (java.lang.Long)value$; break;
case 7: totalUncompressedSize = (java.lang.Long)value$; break;
case 8: isDeleted = (java.lang.Boolean)value$; break;
default: throw new IndexOutOfBoundsException("Invalid index: " + field$);
}
}
/**
* Gets the value of the 'fileName' field.
* @return File name for which this column statistics applies
*/
public java.lang.String getFileName() {
return fileName;
}
/**
* Sets the value of the 'fileName' field.
* File name for which this column statistics applies
* @param value the value to set.
*/
public void setFileName(java.lang.String value) {
this.fileName = value;
}
/**
* Gets the value of the 'columnName' field.
* @return Column name for which this column statistics applies
*/
public java.lang.String getColumnName() {
return columnName;
}
/**
* Sets the value of the 'columnName' field.
* Column name for which this column statistics applies
* @param value the value to set.
*/
public void setColumnName(java.lang.String value) {
this.columnName = value;
}
/**
* Gets the value of the 'minValue' field.
* @return Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
*/
public java.lang.Object getMinValue() {
return minValue;
}
/**
* Sets the value of the 'minValue' field.
* Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @param value the value to set.
*/
public void setMinValue(java.lang.Object value) {
this.minValue = value;
}
/**
* Gets the value of the 'maxValue' field.
* @return Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
*/
public java.lang.Object getMaxValue() {
return maxValue;
}
/**
* Sets the value of the 'maxValue' field.
* Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @param value the value to set.
*/
public void setMaxValue(java.lang.Object value) {
this.maxValue = value;
}
/**
* Gets the value of the 'valueCount' field.
* @return Total count of values
*/
public java.lang.Long getValueCount() {
return valueCount;
}
/**
* Sets the value of the 'valueCount' field.
* Total count of values
* @param value the value to set.
*/
public void setValueCount(java.lang.Long value) {
this.valueCount = value;
}
/**
* Gets the value of the 'nullCount' field.
* @return Total count of null values
*/
public java.lang.Long getNullCount() {
return nullCount;
}
/**
* Sets the value of the 'nullCount' field.
* Total count of null values
* @param value the value to set.
*/
public void setNullCount(java.lang.Long value) {
this.nullCount = value;
}
/**
* Gets the value of the 'totalSize' field.
* @return Total storage size on disk
*/
public java.lang.Long getTotalSize() {
return totalSize;
}
/**
* Sets the value of the 'totalSize' field.
* Total storage size on disk
* @param value the value to set.
*/
public void setTotalSize(java.lang.Long value) {
this.totalSize = value;
}
/**
* Gets the value of the 'totalUncompressedSize' field.
* @return Total uncompressed storage size on disk
*/
public java.lang.Long getTotalUncompressedSize() {
return totalUncompressedSize;
}
/**
* Sets the value of the 'totalUncompressedSize' field.
* Total uncompressed storage size on disk
* @param value the value to set.
*/
public void setTotalUncompressedSize(java.lang.Long value) {
this.totalUncompressedSize = value;
}
/**
* Gets the value of the 'isDeleted' field.
* @return Column range entry valid/deleted flag
*/
public boolean getIsDeleted() {
return isDeleted;
}
/**
* Sets the value of the 'isDeleted' field.
* Column range entry valid/deleted flag
* @param value the value to set.
*/
public void setIsDeleted(boolean value) {
this.isDeleted = value;
}
/**
* Creates a new HoodieMetadataColumnStats RecordBuilder.
* @return A new HoodieMetadataColumnStats RecordBuilder
*/
public static org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder newBuilder() {
return new org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder();
}
/**
* Creates a new HoodieMetadataColumnStats RecordBuilder by copying an existing Builder.
* @param other The existing builder to copy.
* @return A new HoodieMetadataColumnStats RecordBuilder
*/
public static org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder newBuilder(org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder other) {
if (other == null) {
return new org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder();
} else {
return new org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder(other);
}
}
/**
* Creates a new HoodieMetadataColumnStats RecordBuilder by copying an existing HoodieMetadataColumnStats instance.
* @param other The existing instance to copy.
* @return A new HoodieMetadataColumnStats RecordBuilder
*/
public static org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder newBuilder(org.apache.hudi.avro.model.HoodieMetadataColumnStats other) {
if (other == null) {
return new org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder();
} else {
return new org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder(other);
}
}
/**
* RecordBuilder for HoodieMetadataColumnStats instances.
*/
@org.apache.avro.specific.AvroGenerated
public static class Builder extends org.apache.avro.specific.SpecificRecordBuilderBase
implements org.apache.avro.data.RecordBuilder {
/** File name for which this column statistics applies */
private java.lang.String fileName;
/** Column name for which this column statistics applies */
private java.lang.String columnName;
/** Minimum value in the range. Based on user data table schema, we can convert this to appropriate type */
private java.lang.Object minValue;
/** Maximum value in the range. Based on user data table schema, we can convert it to appropriate type */
private java.lang.Object maxValue;
/** Total count of values */
private java.lang.Long valueCount;
/** Total count of null values */
private java.lang.Long nullCount;
/** Total storage size on disk */
private java.lang.Long totalSize;
/** Total uncompressed storage size on disk */
private java.lang.Long totalUncompressedSize;
/** Column range entry valid/deleted flag */
private boolean isDeleted;
/** Creates a new Builder */
private Builder() {
super(SCHEMA$);
}
/**
* Creates a Builder by copying an existing Builder.
* @param other The existing Builder to copy.
*/
private Builder(org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder other) {
super(other);
if (isValidValue(fields()[0], other.fileName)) {
this.fileName = data().deepCopy(fields()[0].schema(), other.fileName);
fieldSetFlags()[0] = other.fieldSetFlags()[0];
}
if (isValidValue(fields()[1], other.columnName)) {
this.columnName = data().deepCopy(fields()[1].schema(), other.columnName);
fieldSetFlags()[1] = other.fieldSetFlags()[1];
}
if (isValidValue(fields()[2], other.minValue)) {
this.minValue = data().deepCopy(fields()[2].schema(), other.minValue);
fieldSetFlags()[2] = other.fieldSetFlags()[2];
}
if (isValidValue(fields()[3], other.maxValue)) {
this.maxValue = data().deepCopy(fields()[3].schema(), other.maxValue);
fieldSetFlags()[3] = other.fieldSetFlags()[3];
}
if (isValidValue(fields()[4], other.valueCount)) {
this.valueCount = data().deepCopy(fields()[4].schema(), other.valueCount);
fieldSetFlags()[4] = other.fieldSetFlags()[4];
}
if (isValidValue(fields()[5], other.nullCount)) {
this.nullCount = data().deepCopy(fields()[5].schema(), other.nullCount);
fieldSetFlags()[5] = other.fieldSetFlags()[5];
}
if (isValidValue(fields()[6], other.totalSize)) {
this.totalSize = data().deepCopy(fields()[6].schema(), other.totalSize);
fieldSetFlags()[6] = other.fieldSetFlags()[6];
}
if (isValidValue(fields()[7], other.totalUncompressedSize)) {
this.totalUncompressedSize = data().deepCopy(fields()[7].schema(), other.totalUncompressedSize);
fieldSetFlags()[7] = other.fieldSetFlags()[7];
}
if (isValidValue(fields()[8], other.isDeleted)) {
this.isDeleted = data().deepCopy(fields()[8].schema(), other.isDeleted);
fieldSetFlags()[8] = other.fieldSetFlags()[8];
}
}
/**
* Creates a Builder by copying an existing HoodieMetadataColumnStats instance
* @param other The existing instance to copy.
*/
private Builder(org.apache.hudi.avro.model.HoodieMetadataColumnStats other) {
super(SCHEMA$);
if (isValidValue(fields()[0], other.fileName)) {
this.fileName = data().deepCopy(fields()[0].schema(), other.fileName);
fieldSetFlags()[0] = true;
}
if (isValidValue(fields()[1], other.columnName)) {
this.columnName = data().deepCopy(fields()[1].schema(), other.columnName);
fieldSetFlags()[1] = true;
}
if (isValidValue(fields()[2], other.minValue)) {
this.minValue = data().deepCopy(fields()[2].schema(), other.minValue);
fieldSetFlags()[2] = true;
}
if (isValidValue(fields()[3], other.maxValue)) {
this.maxValue = data().deepCopy(fields()[3].schema(), other.maxValue);
fieldSetFlags()[3] = true;
}
if (isValidValue(fields()[4], other.valueCount)) {
this.valueCount = data().deepCopy(fields()[4].schema(), other.valueCount);
fieldSetFlags()[4] = true;
}
if (isValidValue(fields()[5], other.nullCount)) {
this.nullCount = data().deepCopy(fields()[5].schema(), other.nullCount);
fieldSetFlags()[5] = true;
}
if (isValidValue(fields()[6], other.totalSize)) {
this.totalSize = data().deepCopy(fields()[6].schema(), other.totalSize);
fieldSetFlags()[6] = true;
}
if (isValidValue(fields()[7], other.totalUncompressedSize)) {
this.totalUncompressedSize = data().deepCopy(fields()[7].schema(), other.totalUncompressedSize);
fieldSetFlags()[7] = true;
}
if (isValidValue(fields()[8], other.isDeleted)) {
this.isDeleted = data().deepCopy(fields()[8].schema(), other.isDeleted);
fieldSetFlags()[8] = true;
}
}
/**
* Gets the value of the 'fileName' field.
* File name for which this column statistics applies
* @return The value.
*/
public java.lang.String getFileName() {
return fileName;
}
/**
* Sets the value of the 'fileName' field.
* File name for which this column statistics applies
* @param value The value of 'fileName'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setFileName(java.lang.String value) {
validate(fields()[0], value);
this.fileName = value;
fieldSetFlags()[0] = true;
return this;
}
/**
* Checks whether the 'fileName' field has been set.
* File name for which this column statistics applies
* @return True if the 'fileName' field has been set, false otherwise.
*/
public boolean hasFileName() {
return fieldSetFlags()[0];
}
/**
* Clears the value of the 'fileName' field.
* File name for which this column statistics applies
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearFileName() {
fileName = null;
fieldSetFlags()[0] = false;
return this;
}
/**
* Gets the value of the 'columnName' field.
* Column name for which this column statistics applies
* @return The value.
*/
public java.lang.String getColumnName() {
return columnName;
}
/**
* Sets the value of the 'columnName' field.
* Column name for which this column statistics applies
* @param value The value of 'columnName'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setColumnName(java.lang.String value) {
validate(fields()[1], value);
this.columnName = value;
fieldSetFlags()[1] = true;
return this;
}
/**
* Checks whether the 'columnName' field has been set.
* Column name for which this column statistics applies
* @return True if the 'columnName' field has been set, false otherwise.
*/
public boolean hasColumnName() {
return fieldSetFlags()[1];
}
/**
* Clears the value of the 'columnName' field.
* Column name for which this column statistics applies
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearColumnName() {
columnName = null;
fieldSetFlags()[1] = false;
return this;
}
/**
* Gets the value of the 'minValue' field.
* Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @return The value.
*/
public java.lang.Object getMinValue() {
return minValue;
}
/**
* Sets the value of the 'minValue' field.
* Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @param value The value of 'minValue'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setMinValue(java.lang.Object value) {
validate(fields()[2], value);
this.minValue = value;
fieldSetFlags()[2] = true;
return this;
}
/**
* Checks whether the 'minValue' field has been set.
* Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @return True if the 'minValue' field has been set, false otherwise.
*/
public boolean hasMinValue() {
return fieldSetFlags()[2];
}
/**
* Clears the value of the 'minValue' field.
* Minimum value in the range. Based on user data table schema, we can convert this to appropriate type
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearMinValue() {
minValue = null;
fieldSetFlags()[2] = false;
return this;
}
/**
* Gets the value of the 'maxValue' field.
* Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @return The value.
*/
public java.lang.Object getMaxValue() {
return maxValue;
}
/**
* Sets the value of the 'maxValue' field.
* Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @param value The value of 'maxValue'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setMaxValue(java.lang.Object value) {
validate(fields()[3], value);
this.maxValue = value;
fieldSetFlags()[3] = true;
return this;
}
/**
* Checks whether the 'maxValue' field has been set.
* Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @return True if the 'maxValue' field has been set, false otherwise.
*/
public boolean hasMaxValue() {
return fieldSetFlags()[3];
}
/**
* Clears the value of the 'maxValue' field.
* Maximum value in the range. Based on user data table schema, we can convert it to appropriate type
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearMaxValue() {
maxValue = null;
fieldSetFlags()[3] = false;
return this;
}
/**
* Gets the value of the 'valueCount' field.
* Total count of values
* @return The value.
*/
public java.lang.Long getValueCount() {
return valueCount;
}
/**
* Sets the value of the 'valueCount' field.
* Total count of values
* @param value The value of 'valueCount'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setValueCount(java.lang.Long value) {
validate(fields()[4], value);
this.valueCount = value;
fieldSetFlags()[4] = true;
return this;
}
/**
* Checks whether the 'valueCount' field has been set.
* Total count of values
* @return True if the 'valueCount' field has been set, false otherwise.
*/
public boolean hasValueCount() {
return fieldSetFlags()[4];
}
/**
* Clears the value of the 'valueCount' field.
* Total count of values
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearValueCount() {
valueCount = null;
fieldSetFlags()[4] = false;
return this;
}
/**
* Gets the value of the 'nullCount' field.
* Total count of null values
* @return The value.
*/
public java.lang.Long getNullCount() {
return nullCount;
}
/**
* Sets the value of the 'nullCount' field.
* Total count of null values
* @param value The value of 'nullCount'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setNullCount(java.lang.Long value) {
validate(fields()[5], value);
this.nullCount = value;
fieldSetFlags()[5] = true;
return this;
}
/**
* Checks whether the 'nullCount' field has been set.
* Total count of null values
* @return True if the 'nullCount' field has been set, false otherwise.
*/
public boolean hasNullCount() {
return fieldSetFlags()[5];
}
/**
* Clears the value of the 'nullCount' field.
* Total count of null values
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearNullCount() {
nullCount = null;
fieldSetFlags()[5] = false;
return this;
}
/**
* Gets the value of the 'totalSize' field.
* Total storage size on disk
* @return The value.
*/
public java.lang.Long getTotalSize() {
return totalSize;
}
/**
* Sets the value of the 'totalSize' field.
* Total storage size on disk
* @param value The value of 'totalSize'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setTotalSize(java.lang.Long value) {
validate(fields()[6], value);
this.totalSize = value;
fieldSetFlags()[6] = true;
return this;
}
/**
* Checks whether the 'totalSize' field has been set.
* Total storage size on disk
* @return True if the 'totalSize' field has been set, false otherwise.
*/
public boolean hasTotalSize() {
return fieldSetFlags()[6];
}
/**
* Clears the value of the 'totalSize' field.
* Total storage size on disk
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearTotalSize() {
totalSize = null;
fieldSetFlags()[6] = false;
return this;
}
/**
* Gets the value of the 'totalUncompressedSize' field.
* Total uncompressed storage size on disk
* @return The value.
*/
public java.lang.Long getTotalUncompressedSize() {
return totalUncompressedSize;
}
/**
* Sets the value of the 'totalUncompressedSize' field.
* Total uncompressed storage size on disk
* @param value The value of 'totalUncompressedSize'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setTotalUncompressedSize(java.lang.Long value) {
validate(fields()[7], value);
this.totalUncompressedSize = value;
fieldSetFlags()[7] = true;
return this;
}
/**
* Checks whether the 'totalUncompressedSize' field has been set.
* Total uncompressed storage size on disk
* @return True if the 'totalUncompressedSize' field has been set, false otherwise.
*/
public boolean hasTotalUncompressedSize() {
return fieldSetFlags()[7];
}
/**
* Clears the value of the 'totalUncompressedSize' field.
* Total uncompressed storage size on disk
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearTotalUncompressedSize() {
totalUncompressedSize = null;
fieldSetFlags()[7] = false;
return this;
}
/**
* Gets the value of the 'isDeleted' field.
* Column range entry valid/deleted flag
* @return The value.
*/
public boolean getIsDeleted() {
return isDeleted;
}
/**
* Sets the value of the 'isDeleted' field.
* Column range entry valid/deleted flag
* @param value The value of 'isDeleted'.
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder setIsDeleted(boolean value) {
validate(fields()[8], value);
this.isDeleted = value;
fieldSetFlags()[8] = true;
return this;
}
/**
* Checks whether the 'isDeleted' field has been set.
* Column range entry valid/deleted flag
* @return True if the 'isDeleted' field has been set, false otherwise.
*/
public boolean hasIsDeleted() {
return fieldSetFlags()[8];
}
/**
* Clears the value of the 'isDeleted' field.
* Column range entry valid/deleted flag
* @return This builder.
*/
public org.apache.hudi.avro.model.HoodieMetadataColumnStats.Builder clearIsDeleted() {
fieldSetFlags()[8] = false;
return this;
}
@Override
@SuppressWarnings("unchecked")
public HoodieMetadataColumnStats build() {
try {
HoodieMetadataColumnStats record = new HoodieMetadataColumnStats();
record.fileName = fieldSetFlags()[0] ? this.fileName : (java.lang.String) defaultValue(fields()[0]);
record.columnName = fieldSetFlags()[1] ? this.columnName : (java.lang.String) defaultValue(fields()[1]);
record.minValue = fieldSetFlags()[2] ? this.minValue : defaultValue(fields()[2]);
record.maxValue = fieldSetFlags()[3] ? this.maxValue : defaultValue(fields()[3]);
record.valueCount = fieldSetFlags()[4] ? this.valueCount : (java.lang.Long) defaultValue(fields()[4]);
record.nullCount = fieldSetFlags()[5] ? this.nullCount : (java.lang.Long) defaultValue(fields()[5]);
record.totalSize = fieldSetFlags()[6] ? this.totalSize : (java.lang.Long) defaultValue(fields()[6]);
record.totalUncompressedSize = fieldSetFlags()[7] ? this.totalUncompressedSize : (java.lang.Long) defaultValue(fields()[7]);
record.isDeleted = fieldSetFlags()[8] ? this.isDeleted : (java.lang.Boolean) defaultValue(fields()[8]);
return record;
} catch (org.apache.avro.AvroMissingFieldException e) {
throw e;
} catch (java.lang.Exception e) {
throw new org.apache.avro.AvroRuntimeException(e);
}
}
}
@SuppressWarnings("unchecked")
private static final org.apache.avro.io.DatumWriter
WRITER$ = (org.apache.avro.io.DatumWriter)MODEL$.createDatumWriter(SCHEMA$);
@Override public void writeExternal(java.io.ObjectOutput out)
throws java.io.IOException {
WRITER$.write(this, SpecificData.getEncoder(out));
}
@SuppressWarnings("unchecked")
private static final org.apache.avro.io.DatumReader
READER$ = (org.apache.avro.io.DatumReader)MODEL$.createDatumReader(SCHEMA$);
@Override public void readExternal(java.io.ObjectInput in)
throws java.io.IOException {
READER$.read(this, SpecificData.getDecoder(in));
}
}
