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[docs] added run_syn_tool.sh with HMS example and also added more on S3 changes needed for Trino. #458

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[docs] added run_syn_tool.sh with HMS example and also added more on S3 changes needed for Trino. #458

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Update hms.md
alberttwong Jun 4, 2024
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Update hms.md
alberttwong Jul 31, 2024
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Merge branch 'main' into patch-1
alberttwong Sep 3, 2024
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26 changes: 23 additions & 3 deletions website/docs/hms.md
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Expand Up @@ -87,8 +87,9 @@ datasets:
:::

From your terminal under the cloned Apache XTable™ (Incubating) directory, run the sync process using the below command.
```shell md title="shell"
java -jar xtable-utilities/target/xtable-utilities-0.2.0-SNAPSHOT-bundled.jar --datasetConfig my_config.yaml
```shell in JDBC md title="shell in JDBC"
java -jar xtable-utilities/target/xtable-utilities-0.1.0-SNAPSHOT-bundled.jar --datasetConfig my_config.yaml
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We updated the version to 0.2.0-SNAPSHOT in main branch now.

I feel it's better to use the downloads from maven for the demo going forward. WDYT ?
https://xtable.apache.org/releases/downloads/


```

:::tip Note:
Expand All @@ -114,6 +115,17 @@ A Hudi table can directly be synced to the Hive Metastore using Hive Sync Tool
and subsequently be queried by different query engines. For more information on the Hive Sync Tool, check
[Hudi Hive Metastore](https://hudi.apache.org/docs/syncing_metastore) docs.

```shell md title="shell with HMS example"
cd $HUDI_HOME/hudi-sync/hudi-hive-sync ; \
./run_sync_tool.sh \
--metastore-uris '<thrift_url>' \
--partitioned-by <partition_field> \
--base-path '<path/to/s3/synced/hudi/table>' \
--database <database_name> \
--table <tableName> \
--sync-mode hms
```

```shell md title="shell"
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cd $HUDI_HOME/hudi-sync/hudi-hive-sync

Expand All @@ -122,7 +134,7 @@ cd $HUDI_HOME/hudi-sync/hudi-hive-sync
--user <username> \
--pass <password> \
--partitioned-by <partition_field> \
--base-path <'/path/to/synced/hudi/table'> \
--base-path '<path/to/synced/hudi/table>' \
--database <database_name> \
--table <tableName>
```
Expand Down Expand Up @@ -218,6 +230,14 @@ using query engines like `Presto` and/or `Trino`. Check out the guides for query
SELECT * FROM iceberg_db.<table_name>;
```

```sql md title="sql for Iceberg, Hudi and Delta Lake in S3"
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select * from hudi.hudi_db.people;
select * from delta.delta_db.people;
select * from iceberg.iceberg_db.people;
```

In the example demo docker image, you can find the catalog configurations.

</TabItem>
</Tabs>

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