All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.amazonaws.services.kinesisfirehose.model.OpenXJsonSerDe Maven / Gradle / Ivy

Go to download

The AWS Java SDK for Amazon Kinesis module holds the client classes that are used for communicating with Amazon Kinesis Service

There is a newer version: 1.12.772
Show newest version
/*
 * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file 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.amazonaws.services.kinesisfirehose.model;

import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;

/**
 * 

* The OpenX SerDe. Used by Kinesis Data Firehose for deserializing data, which means converting it from the JSON format * in preparation for serializing it to the Parquet or ORC format. This is one of two deserializers you can choose, * depending on which one offers the functionality you need. The other option is the native Hive / HCatalog JsonSerDe. *

* * @see AWS API * Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class OpenXJsonSerDe implements Serializable, Cloneable, StructuredPojo { /** *

* When set to true, specifies that the names of the keys include dots and that you want Kinesis Data * Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in column * names. For example, if the JSON contains a key whose name is "a.b", you can define the column name to be "a_b" * when using this option. *

*

* The default is false. *

*/ private Boolean convertDotsInJsonKeysToUnderscores; /** *

* When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase before * deserializing them. *

*/ private Boolean caseInsensitive; /** *

* Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON contains * keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a JSON key named * timestamp, set this parameter to {"ts": "timestamp"} to map this key to a column named * ts. *

*/ private java.util.Map columnToJsonKeyMappings; /** *

* When set to true, specifies that the names of the keys include dots and that you want Kinesis Data * Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in column * names. For example, if the JSON contains a key whose name is "a.b", you can define the column name to be "a_b" * when using this option. *

*

* The default is false. *

* * @param convertDotsInJsonKeysToUnderscores * When set to true, specifies that the names of the keys include dots and that you want Kinesis * Data Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in * column names. For example, if the JSON contains a key whose name is "a.b", you can define the column name * to be "a_b" when using this option.

*

* The default is false. */ public void setConvertDotsInJsonKeysToUnderscores(Boolean convertDotsInJsonKeysToUnderscores) { this.convertDotsInJsonKeysToUnderscores = convertDotsInJsonKeysToUnderscores; } /** *

* When set to true, specifies that the names of the keys include dots and that you want Kinesis Data * Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in column * names. For example, if the JSON contains a key whose name is "a.b", you can define the column name to be "a_b" * when using this option. *

*

* The default is false. *

* * @return When set to true, specifies that the names of the keys include dots and that you want * Kinesis Data Firehose to replace them with underscores. This is useful because Apache Hive does not allow * dots in column names. For example, if the JSON contains a key whose name is "a.b", you can define the * column name to be "a_b" when using this option.

*

* The default is false. */ public Boolean getConvertDotsInJsonKeysToUnderscores() { return this.convertDotsInJsonKeysToUnderscores; } /** *

* When set to true, specifies that the names of the keys include dots and that you want Kinesis Data * Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in column * names. For example, if the JSON contains a key whose name is "a.b", you can define the column name to be "a_b" * when using this option. *

*

* The default is false. *

* * @param convertDotsInJsonKeysToUnderscores * When set to true, specifies that the names of the keys include dots and that you want Kinesis * Data Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in * column names. For example, if the JSON contains a key whose name is "a.b", you can define the column name * to be "a_b" when using this option.

*

* The default is false. * @return Returns a reference to this object so that method calls can be chained together. */ public OpenXJsonSerDe withConvertDotsInJsonKeysToUnderscores(Boolean convertDotsInJsonKeysToUnderscores) { setConvertDotsInJsonKeysToUnderscores(convertDotsInJsonKeysToUnderscores); return this; } /** *

* When set to true, specifies that the names of the keys include dots and that you want Kinesis Data * Firehose to replace them with underscores. This is useful because Apache Hive does not allow dots in column * names. For example, if the JSON contains a key whose name is "a.b", you can define the column name to be "a_b" * when using this option. *

*

* The default is false. *

* * @return When set to true, specifies that the names of the keys include dots and that you want * Kinesis Data Firehose to replace them with underscores. This is useful because Apache Hive does not allow * dots in column names. For example, if the JSON contains a key whose name is "a.b", you can define the * column name to be "a_b" when using this option.

*

* The default is false. */ public Boolean isConvertDotsInJsonKeysToUnderscores() { return this.convertDotsInJsonKeysToUnderscores; } /** *

* When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase before * deserializing them. *

* * @param caseInsensitive * When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase * before deserializing them. */ public void setCaseInsensitive(Boolean caseInsensitive) { this.caseInsensitive = caseInsensitive; } /** *

* When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase before * deserializing them. *

* * @return When set to true, which is the default, Kinesis Data Firehose converts JSON keys to * lowercase before deserializing them. */ public Boolean getCaseInsensitive() { return this.caseInsensitive; } /** *

* When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase before * deserializing them. *

* * @param caseInsensitive * When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase * before deserializing them. * @return Returns a reference to this object so that method calls can be chained together. */ public OpenXJsonSerDe withCaseInsensitive(Boolean caseInsensitive) { setCaseInsensitive(caseInsensitive); return this; } /** *

* When set to true, which is the default, Kinesis Data Firehose converts JSON keys to lowercase before * deserializing them. *

* * @return When set to true, which is the default, Kinesis Data Firehose converts JSON keys to * lowercase before deserializing them. */ public Boolean isCaseInsensitive() { return this.caseInsensitive; } /** *

* Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON contains * keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a JSON key named * timestamp, set this parameter to {"ts": "timestamp"} to map this key to a column named * ts. *

* * @return Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON * contains keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have * a JSON key named timestamp, set this parameter to {"ts": "timestamp"} to map * this key to a column named ts. */ public java.util.Map getColumnToJsonKeyMappings() { return columnToJsonKeyMappings; } /** *

* Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON contains * keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a JSON key named * timestamp, set this parameter to {"ts": "timestamp"} to map this key to a column named * ts. *

* * @param columnToJsonKeyMappings * Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON * contains keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a * JSON key named timestamp, set this parameter to {"ts": "timestamp"} to map this * key to a column named ts. */ public void setColumnToJsonKeyMappings(java.util.Map columnToJsonKeyMappings) { this.columnToJsonKeyMappings = columnToJsonKeyMappings; } /** *

* Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON contains * keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a JSON key named * timestamp, set this parameter to {"ts": "timestamp"} to map this key to a column named * ts. *

* * @param columnToJsonKeyMappings * Maps column names to JSON keys that aren't identical to the column names. This is useful when the JSON * contains keys that are Hive keywords. For example, timestamp is a Hive keyword. If you have a * JSON key named timestamp, set this parameter to {"ts": "timestamp"} to map this * key to a column named ts. * @return Returns a reference to this object so that method calls can be chained together. */ public OpenXJsonSerDe withColumnToJsonKeyMappings(java.util.Map columnToJsonKeyMappings) { setColumnToJsonKeyMappings(columnToJsonKeyMappings); return this; } /** * Add a single ColumnToJsonKeyMappings entry * * @see OpenXJsonSerDe#withColumnToJsonKeyMappings * @returns a reference to this object so that method calls can be chained together. */ public OpenXJsonSerDe addColumnToJsonKeyMappingsEntry(String key, String value) { if (null == this.columnToJsonKeyMappings) { this.columnToJsonKeyMappings = new java.util.HashMap(); } if (this.columnToJsonKeyMappings.containsKey(key)) throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided."); this.columnToJsonKeyMappings.put(key, value); return this; } /** * Removes all the entries added into ColumnToJsonKeyMappings. * * @return Returns a reference to this object so that method calls can be chained together. */ public OpenXJsonSerDe clearColumnToJsonKeyMappingsEntries() { this.columnToJsonKeyMappings = null; return this; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getConvertDotsInJsonKeysToUnderscores() != null) sb.append("ConvertDotsInJsonKeysToUnderscores: ").append(getConvertDotsInJsonKeysToUnderscores()).append(","); if (getCaseInsensitive() != null) sb.append("CaseInsensitive: ").append(getCaseInsensitive()).append(","); if (getColumnToJsonKeyMappings() != null) sb.append("ColumnToJsonKeyMappings: ").append(getColumnToJsonKeyMappings()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof OpenXJsonSerDe == false) return false; OpenXJsonSerDe other = (OpenXJsonSerDe) obj; if (other.getConvertDotsInJsonKeysToUnderscores() == null ^ this.getConvertDotsInJsonKeysToUnderscores() == null) return false; if (other.getConvertDotsInJsonKeysToUnderscores() != null && other.getConvertDotsInJsonKeysToUnderscores().equals(this.getConvertDotsInJsonKeysToUnderscores()) == false) return false; if (other.getCaseInsensitive() == null ^ this.getCaseInsensitive() == null) return false; if (other.getCaseInsensitive() != null && other.getCaseInsensitive().equals(this.getCaseInsensitive()) == false) return false; if (other.getColumnToJsonKeyMappings() == null ^ this.getColumnToJsonKeyMappings() == null) return false; if (other.getColumnToJsonKeyMappings() != null && other.getColumnToJsonKeyMappings().equals(this.getColumnToJsonKeyMappings()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getConvertDotsInJsonKeysToUnderscores() == null) ? 0 : getConvertDotsInJsonKeysToUnderscores().hashCode()); hashCode = prime * hashCode + ((getCaseInsensitive() == null) ? 0 : getCaseInsensitive().hashCode()); hashCode = prime * hashCode + ((getColumnToJsonKeyMappings() == null) ? 0 : getColumnToJsonKeyMappings().hashCode()); return hashCode; } @Override public OpenXJsonSerDe clone() { try { return (OpenXJsonSerDe) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.kinesisfirehose.model.transform.OpenXJsonSerDeMarshaller.getInstance().marshall(this, protocolMarshaller); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy