![]() ![]() ![]() ![]() Note: From HDP 3.0, catalogs for Apache Hive and Apache Spark are separated, and they use their own catalog namely, they are mutually exclusive - Apache Hive catalog can only be accessed by Apache Hive or this library, and Apache Spark catalog can only be accessed by existing APIs in Apache Spark. Therefore, this library, Hive Warehouse Connector, was implemented as a data source to overcome the limitations and provide those modern functionalities in Apache Hive to Apache Spark users. as of Spark 2.Īpache Spark supports a pluggable approach for various data sources and Apache Hive itself can be also considered as one data source. However, not all the modern features from Apache Hive are supported, for instance, ACID table in Apache Hive, Ranger integration, Live Long And Process (LLAP), etc. ![]() It allows an access to tables in Apache Hive and some basic use cases can be achieved by this. In case of Apache Spark, it provides a basic Hive compatibility. As both systems evolve, it is critical to find a solution that provides the best of both worlds for data processing needs. Both provide compatibilities for each other. Both provide their own efficient ways to process data by the use of SQL, and is used for data stored in distributed file systems. MotivationĪpache Spark and Apache Hive integration has always been an important use case and continues to be so. Antigua and Barbuda, Aruba, Australia, Austria, Bahamas, Bahrain, Bangladesh, Barbados, Belgium, Belize, Bermuda, Bolivia, Brunei Darussalam, Bulgaria, Cambodia, Canada, Cayman Islands, Chile, China, Colombia, Costa Rica, Croatia, Republic of, Cyprus, Czech Republic, Denmark, Dominica, Dominican Republic, Egypt, El Salvador, Estonia, Finland, France, French Guiana, Germany, Gibraltar, Greece, Grenada, Guadeloupe, Guatemala, Guernsey, Honduras, Hong Kong, Hungary, Iceland, Indonesia, Ireland, Israel, Italy, Jamaica, Japan, Jersey, Jordan, Korea, South, Kuwait, Latvia, Liechtenstein, Lithuania, Luxembourg, Macau, Malaysia, Maldives, Malta, Martinique, Monaco, Montserrat, Netherlands, New Zealand, Nicaragua, Norway, Oman, Pakistan, Panama, Paraguay, Philippines, Poland, Portugal, Qatar, Reunion, Romania, Saint Kitts-Nevis, Saint Lucia, Saudi Arabia, Singapore, Slovakia, Slovenia, South Africa, Spain, Sri Lanka, Sweden, Switzerland, Taiwan, Trinidad and Tobago, Turks and Caicos Islands, United Arab Emirates, United Kingdom, United StatesĪPO/FPO, Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Argentina, Armenia, Azerbaijan Republic, Belarus, Benin, Bhutan, Bosnia and Herzegovina, Botswana, Brazil, British Virgin Islands, Burkina Faso, Burundi, Cameroon, Cape Verde Islands, Central African Republic, Chad, Comoros, Congo, Democratic Republic of the, Congo, Republic of the, Cook Islands, Côte d'Ivoire (Ivory Coast), Djibouti, Ecuador, Equatorial Guinea, Eritrea, Ethiopia, Falkland Islands (Islas Malvinas), Fiji, French Polynesia, Gabon Republic, Gambia, Georgia, Ghana, Greenland, Guam, Guinea, Guinea-Bissau, Guyana, Haiti, India, Iraq, Kazakhstan, Kenya, Kiribati, Kyrgyzstan, Laos, Lebanon, Lesotho, Liberia, Libya, Macedonia, Madagascar, Malawi, Mali, Marshall Islands, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands Antilles, New Caledonia, Niger, Nigeria, Niue, Palau, Papua New Guinea, Peru, Puerto Rico, Russian Federation, Rwanda, Saint Helena, Saint Pierre and Miquelon, Saint Vincent and the Grenadines, San Marino, Senegal, Serbia, Seychelles, Sierra Leone, Solomon Islands, Somalia, Suriname, Svalbard and Jan Mayen, Swaziland, Tajikistan, Tanzania, Thailand, Togo, Tonga, Tunisia, Turkey, Turkmenistan, Tuvalu, Uganda, Ukraine, Uzbekistan, Vanuatu, Vatican City State, Venezuela, Vietnam, Virgin Islands (U.S.Short Description: This article targets to describe and demonstrate Apache Hive Warehouse Connector which is a newer generation to read and write data between Apache Spark and Apache Hive. ![]()
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