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commit 55ad8643b3ad8a9d961c5e4a64f6fd9d0983c8ed Author: Kyle Weller <[email protected]> AuthorDate: Thu Mar 7 23:51:26 2024 -0800 updated github links and removed more spaces --- README.md | 16 ++++++++-------- website/blog/OneTable-is-now-Apache-XTable.md | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 95338a8f..f3c4afdb 100644 --- a/README.md +++ b/README.md @@ -60,11 +60,11 @@ datasets: - `partitionSpec` is a spec that allows us to infer partition values. This is only required for Hudi source tables. If the table is not partitioned, leave it blank. If it is partitioned, you can specify a spec with a comma separated list with format `path:type:format` - `path` is a dot separated path to the partition field - `type` describes how the partition value was generated from the column value - - `VALUE`: an identity transform of field value to partition value - - `YEAR`: data is partitioned by a field representing a date and year granularity is used - - `MONTH`: same as `YEAR` but with month granularity - - `DAY`: same as `YEAR` but with day granularity - - `HOUR`: same as `YEAR` but with hour granularity + - `VALUE`: an identity transform of field value to partition value + - `YEAR`: data is partitioned by a field representing a date and year granularity is used + - `MONTH`: same as `YEAR` but with month granularity + - `DAY`: same as `YEAR` but with day granularity + - `HOUR`: same as `YEAR` but with hour granularity - `format`: if your partition type is `YEAR`, `MONTH`, `DAY`, or `HOUR` specify the format for the date string as it appears in your file paths 3. The default implementations of table format clients can be replaced with custom implementations by specifying a client configs yaml file in the format below: ```yaml @@ -93,8 +93,8 @@ catalogOptions: # all other options are passed through in a map key2: value2 ``` 5. run with `java -jar utilities/target/utilities-0.1.0-SNAPSHOT-bundled.jar --datasetConfig my_config.yaml [--hadoopConfig hdfs-site.xml] [--clientsConfig clients.yaml] [--icebergCatalogConfig catalog.yaml]` -The bundled jar includes hadoop dependencies for AWS, Azure, and GCP. Authentication for AWS is done with -`com.amazonaws.auth.DefaultAWSCredentialsProviderChain`. To override this setting, specify a different implementation +The bundled jar includes hadoop dependencies for AWS, Azure, and GCP. Authentication for AWS is done with +`com.amazonaws.auth.DefaultAWSCredentialsProviderChain`. To override this setting, specify a different implementation with the `--awsCredentialsProvider` option. # Contributing @@ -102,7 +102,7 @@ with the `--awsCredentialsProvider` option. For setting up the repo on IntelliJ, open the project and change the java version to Java11 in File->ProjectStructure  -You have found a bug, or have a cool idea you that want to contribute to the project ? Please file a GitHub issue [here](https://github.com/onetable-io/onetable/issues) +You have found a bug, or have a cool idea you that want to contribute to the project ? Please file a GitHub issue [here](https://github.com/apache/incubator-xtable/issues) ## Adding a new target format Adding a new target format requires a developer implement [TargetClient](./api/src/main/java/io/onetable/spi/sync/TargetClient.java). Once you have implemented that interface, you can integrate it into the [OneTableClient](./core/src/main/java/io/onetable/client/OneTableClient.java). If you think others may find that target useful, please raise a Pull Request to add it to the project. diff --git a/website/blog/OneTable-is-now-Apache-XTable.md b/website/blog/OneTable-is-now-Apache-XTable.md index 2a42ad3c..cdf4c252 100644 --- a/website/blog/OneTable-is-now-Apache-XTable.md +++ b/website/blog/OneTable-is-now-Apache-XTable.md @@ -56,7 +56,7 @@ marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} /> For those interested in exploring Apache XTable™, the official website is a good starting point. The documentation section hosts a great hands-on [quickstart](https://onetable.dev/docs/how-to) guide to getting acquainted with XTable, providing a straightforward way to experience its interoperability capabilities firsthand. If you have specific ideas, -questions, or seek direct interaction, the [discussions](https://github.com/onetable-io/onetable/discussions) section +questions, or seek direct interaction, the [discussions](https://github.com/apache/incubator-xtable/discussions) section is available for more in-depth exchanges. We invite you to contribute to the project by submitting pull requests or filling issues to the [XTable GitHub repository](https://github.com/apache/incubator-xtable). Contributions in the early phase of the project are going to be critical as we build XTable together. Joining the
