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new 57fe4f8a1 [hotfix] Fix hdfs path in the document. (#1082)
57fe4f8a1 is described below
commit 57fe4f8a1ef0d6845c2ad71378e7c76cfd24dbe7
Author: Kerwin <[email protected]>
AuthorDate: Tue May 9 10:42:26 2023 +0800
[hotfix] Fix hdfs path in the document. (#1082)
---
docs/content/how-to/creating-catalogs.md | 16 ++++++++--------
docs/content/how-to/creating-tables.md | 18 +++++++++---------
2 files changed, 17 insertions(+), 17 deletions(-)
diff --git a/docs/content/how-to/creating-catalogs.md
b/docs/content/how-to/creating-catalogs.md
index 2cb9ea143..db7e7b65a 100644
--- a/docs/content/how-to/creating-catalogs.md
+++ b/docs/content/how-to/creating-catalogs.md
@@ -39,12 +39,12 @@ See [CatalogOptions]({{< ref
"maintenance/configurations#catalogoptions" >}}) fo
{{< tab "Flink" >}}
-The following Flink SQL registers and uses a Paimon catalog named
`my_catalog`. Metadata and table files are stored under
`hdfs://path/to/warehouse`.
+The following Flink SQL registers and uses a Paimon catalog named
`my_catalog`. Metadata and table files are stored under
`hdfs:///path/to/warehouse`.
```sql
CREATE CATALOG my_catalog WITH (
'type' = 'paimon',
- 'warehouse' = 'hdfs://path/to/warehouse'
+ 'warehouse' = 'hdfs:///path/to/warehouse'
);
USE CATALOG my_catalog;
@@ -56,12 +56,12 @@ You can define any default table options with the prefix
`table-default.` for ta
{{< tab "Spark3" >}}
-The following shell command registers a paimon catalog named `paimon`.
Metadata and table files are stored under `hdfs://path/to/warehouse`.
+The following shell command registers a paimon catalog named `paimon`.
Metadata and table files are stored under `hdfs:///path/to/warehouse`.
```bash
spark-sql ... \
--conf spark.sql.catalog.paimon=org.apache.paimon.spark.SparkCatalog \
- --conf spark.sql.catalog.paimon.warehouse=hdfs://path/to/warehouse
+ --conf spark.sql.catalog.paimon.warehouse=hdfs:///path/to/warehouse
```
You can define any default table options with the prefix
`spark.sql.catalog.paimon.table-default.` for tables created in the catalog.
@@ -88,7 +88,7 @@ To use Hive catalog, Database name, Table name and Field
names should be lower c
Paimon Hive catalog in Flink relies on Flink Hive connector bundled jar. You
should first download Flink Hive connector bundled jar and add it to classpath.
See
[here](https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/table/hive/overview/#using-bundled-hive-jar)
for more info.
-The following Flink SQL registers and uses a Paimon Hive catalog named
`my_hive`. Metadata and table files are stored under
`hdfs://path/to/warehouse`. In addition, metadata is also stored in Hive
metastore.
+The following Flink SQL registers and uses a Paimon Hive catalog named
`my_hive`. Metadata and table files are stored under
`hdfs:///path/to/warehouse`. In addition, metadata is also stored in Hive
metastore.
If your Hive requires security authentication such as Kerberos, LDAP, Ranger
and so on. You can specify the hive-conf-dir parameter to the hive-site.xml
file path.
@@ -97,7 +97,7 @@ CREATE CATALOG my_hive WITH (
'type' = 'paimon',
'metastore' = 'hive',
'uri' = 'thrift://<hive-metastore-host-name>:<port>',
- 'warehouse' = 'hdfs://path/to/warehouse'
+ 'warehouse' = 'hdfs:///path/to/warehouse'
);
USE CATALOG my_hive;
@@ -111,12 +111,12 @@ You can define any default table options with the prefix
`table-default.` for ta
Your Spark installation should be able to detect, or already contains Hive
dependencies. See
[here](https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html)
for more information.
-The following shell command registers a Paimon Hive catalog named `paimon`.
Metadata and table files are stored under `hdfs://path/to/warehouse`. In
addition, metadata is also stored in Hive metastore.
+The following shell command registers a Paimon Hive catalog named `paimon`.
Metadata and table files are stored under `hdfs:///path/to/warehouse`. In
addition, metadata is also stored in Hive metastore.
```bash
spark-sql ... \
--conf spark.sql.catalog.paimon=org.apache.paimon.spark.SparkCatalog \
- --conf spark.sql.catalog.paimon.warehouse=hdfs://path/to/warehouse \
+ --conf spark.sql.catalog.paimon.warehouse=hdfs:///path/to/warehouse \
--conf spark.sql.catalog.paimon.metastore=hive \
--conf
spark.sql.catalog.paimon.uri=thrift://<hive-metastore-host-name>:<port>
```
diff --git a/docs/content/how-to/creating-tables.md
b/docs/content/how-to/creating-tables.md
index 95a5a6f7e..b77766fd9 100644
--- a/docs/content/how-to/creating-tables.md
+++ b/docs/content/how-to/creating-tables.md
@@ -383,7 +383,7 @@ Paimon external tables can be used in any catalog. If you
do not want to create
{{< tab "Flink" >}}
-Flink SQL supports reading and writing an external table. External Paimon
tables are created by specifying the `connector` and `path` table properties.
The following SQL creates an external table named `MyTable` with five columns,
where the base path of table files is `hdfs://path/to/table`.
+Flink SQL supports reading and writing an external table. External Paimon
tables are created by specifying the `connector` and `path` table properties.
The following SQL creates an external table named `MyTable` with five columns,
where the base path of table files is `hdfs:///path/to/table`.
```sql
CREATE TABLE MyTable (
@@ -395,7 +395,7 @@ CREATE TABLE MyTable (
PRIMARY KEY (dt, hh, user_id) NOT ENFORCED
) WITH (
'connector' = 'paimon',
- 'path' = 'hdfs://path/to/table',
+ 'path' = 'hdfs:///path/to/table',
'auto-create' = 'true' -- this table property creates table files for an
empty table if table path does not exist
-- currently only supported by Flink
);
@@ -405,20 +405,20 @@ CREATE TABLE MyTable (
{{< tab "Spark3" >}}
-Spark3 only supports creating external tables through Scala API. The following
Scala code loads the table located at `hdfs://path/to/table` into a `DataSet`.
+Spark3 only supports creating external tables through Scala API. The following
Scala code loads the table located at `hdfs:///path/to/table` into a `DataSet`.
```scala
-val dataset = spark.read.format("paimon").load("hdfs://path/to/table")
+val dataset = spark.read.format("paimon").load("hdfs:///path/to/table")
```
{{< /tab >}}
{{< tab "Spark2" >}}
-Spark2 only supports creating external tables through Scala API. The following
Scala code loads the table located at `hdfs://path/to/table` into a `DataSet`.
+Spark2 only supports creating external tables through Scala API. The following
Scala code loads the table located at `hdfs:///path/to/table` into a `DataSet`.
```scala
-val dataset = spark.read.format("paimon").load("hdfs://path/to/table")
+val dataset = spark.read.format("paimon").load("hdfs:///path/to/table")
```
{{< /tab >}}
@@ -426,7 +426,7 @@ val dataset =
spark.read.format("paimon").load("hdfs://path/to/table")
{{< tab "Hive" >}}
To access existing paimon table, you can also register them as external tables
in Hive. The following SQL creates an
-external table named `my_table`, where the base path of table files is
`hdfs://path/to/table`. As schemas are stored
+external table named `my_table`, where the base path of table files is
`hdfs:///path/to/table`. As schemas are stored
in table files, users do not need to write column definitions.
```sql
@@ -452,7 +452,7 @@ If you want to use Paimon catalog along with other tables
but do not want to sto
```sql
CREATE CATALOG my_catalog WITH (
'type' = 'paimon',
- 'warehouse' = 'hdfs://path/to/warehouse'
+ 'warehouse' = 'hdfs:///path/to/warehouse'
);
USE CATALOG my_catalog;
@@ -464,7 +464,7 @@ CREATE TEMPORARY TABLE temp_table (
v STRING
) WITH (
'connector' = 'filesystem',
- 'path' = 'hdfs://path/to/temp_table.csv',
+ 'path' = 'hdfs:///path/to/temp_table.csv',
'format' = 'csv'
);
