MonsterChenzhuo commented on a change in pull request #17847:
URL: https://github.com/apache/flink/pull/17847#discussion_r754064927
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File path:
flink-connectors/flink-connector-mongodb/src/main/java/org/apache/flink/mongodb/table/MongodbDynamicTableSourceSinkFactory.java
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@@ -0,0 +1,133 @@
+package org.apache.flink.mongodb.table;
+
+import org.apache.flink.annotation.VisibleForTesting;
+import org.apache.flink.api.common.serialization.DeserializationSchema;
+import org.apache.flink.configuration.ConfigOption;
+import org.apache.flink.configuration.ConfigOptions;
+import org.apache.flink.mongodb.table.sink.MongodbDynamicTableSink;
+import org.apache.flink.mongodb.table.sink.MongodbSinkConf;
+import org.apache.flink.mongodb.table.source.MongodbDynamicTableSource;
+import org.apache.flink.mongodb.table.util.ContextUtil;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.table.connector.format.DecodingFormat;
+import org.apache.flink.table.connector.sink.DynamicTableSink;
+import org.apache.flink.table.connector.source.DynamicTableSource;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.factories.DeserializationFormatFactory;
+import org.apache.flink.table.factories.DynamicTableSinkFactory;
+import org.apache.flink.table.factories.DynamicTableSourceFactory;
+import org.apache.flink.table.factories.FactoryUtil;
+import org.apache.flink.table.utils.TableSchemaUtils;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.HashSet;
+import java.util.Set;
+
+public class MongodbDynamicTableSourceSinkFactory implements
DynamicTableSinkFactory, DynamicTableSourceFactory {
+
+ private static final Logger LOG =
LoggerFactory.getLogger(MongodbDynamicTableSourceSinkFactory.class);
+ @VisibleForTesting
+ public static final String IDENTIFIER = "mongodb";
+ public static final ConfigOption<String> DATABASE =
ConfigOptions.key("database".toLowerCase())
Review comment:
> 不支持upsert么
@dailai The connector supports two modes, "insert" and "merge into". Merge
into is similar to what you call update. It is used when the primary key is
unique, there is update for the primary key, and there is no insert for the
primary key
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