pyflink小白，测试pyflink1.12功能，想通过定义connector从oracle数据库中获取数据
通过如下方式定义：
env = StreamExecutionEnvironment.get_execution_environment()
env.set_parallelism(1)
env = StreamTableEnvironment \
.create(env, environment_settings=EnvironmentSettings
.new_instance()
.use_blink_planner().build())
source_ddl1 = """
CREATE TABLE source_table (id BIGINT,pf_id VARCHAR,\
tree_id VARCHAR,node_id VARCHAR,biz_date DATE,\
ccy_type VARCHAR,cur_id_d VARCHAR,tldrate DOUBLE,\
is_valid INT,time_mark TIMESTAMP) WITH (
'connector.type' = 'jdbc',
'connector.url' = 'jdbc:oracle:thin:@ip:dbnamel',
'connector.table' = 'ts_pf_ac_yldrate',
'connector.driver' = 'oracle.jdbc.driver.OracleDriver',
'connector.username' = 'xxx',
'connector.password' = 'xxx')
"""
sql = "select pf_id,biz_date from source_table where biz_date='20160701' "
env.sql_update(source_ddl1)
table = env.sql_query(sql)
env.execute("flink_test")
报错信息：
raise java_exception
pyflink.util.exceptions.TableException: findAndCreateTableSource failed.
at
org.apache.flink.table.factories.TableFactoryUtil.findAndCreateTableSource(TableFactoryUtil.java:49)
at
org.apache.flink.table.planner.plan.schema.LegacyCatalogSourceTable.findAndCreateLegacyTableSource(LegacyCatalogSourceTable.scala:193)
at
org.apache.flink.table.planner.plan.schema.LegacyCatalogSourceTable.toRel(LegacyCatalogSourceTable.scala:94)
at
org.apache.calcite.sql2rel.SqlToRelConverter.toRel(SqlToRelConverter.java:3585)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertIdentifier(SqlToRelConverter.java:2507)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2144)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2093)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2050)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertSelectImpl(SqlToRelConverter.java:663)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertSelect(SqlToRelConverter.java:644)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertQueryRecursive(SqlToRelConverter.java:3438)
at
org.apache.calcite.sql2rel.SqlToRelConverter.convertQuery(SqlToRelConverter.java:570)
at
org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org$apache$flink$table$planner$calcite$FlinkPlannerImpl$$rel(FlinkPlannerImpl.scala:165)
at
org.apache.flink.table.planner.calcite.FlinkPlannerImpl.rel(FlinkPlannerImpl.scala:157)
at
org.apache.flink.table.planner.operations.SqlToOperationConverter.toQueryOperation(SqlToOperationConverter.java:823)
at
org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlQuery(SqlToOperationConverter.java:795)
at
org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:250)
at
org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:78)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlQuery(TableEnvironmentImpl.java:639)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at
org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282)
at
org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at
org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79)
at
org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
