openinx commented on a change in pull request #2389:
URL: https://github.com/apache/iceberg/pull/2389#discussion_r603233452
##########
File path: site/docs/flink.md
##########
@@ -312,17 +312,47 @@ INSERT OVERWRITE hive_catalog.default.sample
PARTITION(data='a') SELECT 6;
For a partitioned iceberg table, when all the partition columns are set a
value in `PARTITION` clause, it is inserting into a static partition, otherwise
if partial partition columns (prefix part of all partition columns) are set a
value in `PARTITION` clause, it is writing the query result into a dynamic
partition.
For an unpartitioned iceberg table, its data will be completely overwritten by
`INSERT OVERWRITE`.
-## Reading with DataStream
+## Iceberg Operation with DataStream API
+### Load Iceberg Catalog
+#### Load Hadoop Catalog
+
+```java
+ Map<String, String> properties = new HashMap<>();
+ properties.put("type", "iceberg");
+ properties.put("catalog-type", "hadoop");
+ properties.put("property-version", "1");
+ properties.put("warehouse", "hdfs://nn:8020/warehouse/path");
+
+ CatalogLoader catalogLoader = CatalogLoader.hadoop(HADOOP_CATALOG, new
Configuration(), properties);
+```
+
+#### Load Hive Catalog
+
+```java
+ Map<String, String> properties = new HashMap<>();
+ properties.put("type", "iceberg");
+ properties.put("catalog-type", "hive");
+ properties.put("property-version", "1");
+ properties.put("warehouse", "hdfs://nn:8020/warehouse/path");
+ properties.put("uri", "thrift://localhost:9083");
+ properties.put("clients", Integer.toString(2));
+
+ CatalogLoader catalogLoader = CatalogLoader.hive(HIVE_CATALOG, new
Configuration(), properties);
+```
+
+*Note*: The following are examples of Load Hadoop Catalog.
+
+### Reading with DataStream
Iceberg support streaming or batch read in Java API now.
-### Batch Read
+#### Batch Read
This example will read all records from iceberg table and then print to the
stdout console in flink batch job:
```java
StreamExecutionEnvironment env =
StreamExecutionEnvironment.createLocalEnvironment();
-TableLoader tableLoader =
TableLoader.fromHadooptable("hdfs://nn:8020/warehouse/path");
+TableLoader tableLoader =
TableLoader.fromHadoopTable("hdfs://nn:8020/warehouse/path");
Review comment:
Thanks for the fixing !
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