Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 120 Chapter 3. What’s Next Kyuubi, Release 1.7.0 DB-API fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 3.6. Clients 123 Kyuubi, Release 1.7.3 DB-API from pyhive fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 122 Chapter 3. What’s Next Kyuubi, Release 1.7.1 DB-API fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 3.6. Clients 123 Kyuubi, Release 1.7.3 DB-API from pyhive fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 124 Chapter 3. What’s Next Kyuubi, Release 1.7.0 DB-API fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 120 Chapter 3. What’s Next Kyuubi, Release 1.7.0 DB-API fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 3.6. Clients 123 Kyuubi, Release 1.7.2 DB-API from pyhive fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.6.7 Web UI 3.6.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 3.6. Clients 123 Kyuubi, Release 1.7.2 DB-API from pyhive fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Kyuubi, Release 1.9.0-SNAPSHOT 3.7.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. DB-API from pyhive import hive cursor = hive.connect(host=kyuubi_host fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas

Field Engine 3.7.7 Web UI 3.7.8 Python PyHive PyHive is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2 connect. For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to project homepage. 3.7. Clients 125 Kyuubi, Release 1.8.0 DB-API from pyhive fetchone()) print(cursor.fetchall()) Use PyHive with Pandas PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via pandas