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new 848cb5956 [doc] Simplify chapter name in iceberg compatibility
848cb5956 is described below
commit 848cb59562bdbc9c5f0216bba689745d73d5f514
Author: Jingsong <[email protected]>
AuthorDate: Tue Nov 19 14:06:03 2024 +0800
[doc] Simplify chapter name in iceberg compatibility
---
docs/content/migration/iceberg-compatibility.md | 14 +++++---------
1 file changed, 5 insertions(+), 9 deletions(-)
diff --git a/docs/content/migration/iceberg-compatibility.md
b/docs/content/migration/iceberg-compatibility.md
index 17e1c6523..f07f78cb2 100644
--- a/docs/content/migration/iceberg-compatibility.md
+++ b/docs/content/migration/iceberg-compatibility.md
@@ -29,8 +29,6 @@ under the License.
Paimon supports generating Iceberg compatible metadata,
so that Paimon tables can be consumed directly by Iceberg readers.
-## Enable Iceberg Compatibility
-
Set the following table options, so that Paimon tables can generate Iceberg
compatible metadata.
<table class="table table-bordered">
@@ -66,7 +64,7 @@ so that all tables can be visited as an Iceberg warehouse.
For Iceberg Java API users, you might consider setting
`'metadata.iceberg.storage' = 'table-location'`,
so you can visit each table with its table path.
-## Example: Query Paimon Append Only Tables on Flink/Spark with Iceberg
Connector
+## Append Tables
Let's walk through a simple example, where we query Paimon tables with Iceberg
connectors in Flink and Spark.
Before trying out this example, make sure that your compute engine already
supports Iceberg.
@@ -200,7 +198,7 @@ germany hamburg
{{< /tabs >}}
-## Example: Query Paimon Primary Key Tables on Flink/Spark with Iceberg
Connector
+## Primary Key Tables
{{< tabs "paimon-primary-key-table" >}}
@@ -300,8 +298,6 @@ SELECT * FROM iceberg_catalog.`default`.orders WHERE status
= 'COMPLETED';
{{< /tabs >}}
-### Timeliness
-
Paimon primary key tables organize data files as LSM trees, so data files must
be merged in memory before querying.
However, Iceberg readers are not able to merge data files, so they can only
query data files on the highest level of LSM trees.
Data files on the highest level are produced by the full compaction process.
@@ -338,7 +334,7 @@ You can configure the following table option, so that
Paimon is forced to perfor
Note that full compaction is a resource-consuming process, so the value of
this table option should not be too small.
We recommend full compaction to be performed once or twice per hour.
-## Access Paimon Table from Iceberg Hive Catalog
+## Hive Catalog
When creating Paimon table, set `'metadata.iceberg.storage' = 'hive-catalog'`.
This option value not only store Iceberg metadata like hadoop-catalog, but
also create Iceberg external table in Hive.
@@ -378,7 +374,7 @@ you also need to set some (or all) of the following table
options when creating
</tbody>
</table>
-## Example: Query Paimon Append Only Tables on Trino with Iceberg Connector
+## Trino Iceberg
In this example, we use Trino Iceberg connector to access Paimon table through
Iceberg Hive catalog.
Before trying out this example, make sure that you have configured Trino
Iceberg connector.
@@ -473,7 +469,7 @@ Paimon Iceberg compatibility currently supports the
following data types.
*: `TIMESTAMP` and `TIMESTAMP_LTZ` type only support precision from 4 to 6
-## Other Related Table Options
+## Table Options
<table class="table table-bordered">
<thead>
