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docs: change relative URLs to absolute URLs to fix broken links. (#260)
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PiperOrigin-RevId: 324941614
Source-Link: googleapis/googleapis@6fd0756
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yoshi-automation committed Aug 7, 2020
1 parent 8abf6f2 commit 2132c91
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18 changes: 0 additions & 18 deletions README.md
Expand Up @@ -29,24 +29,6 @@ If you are using Maven with [BOM][libraries-bom], add this to your pom.xml file
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-dataproc</artifactId>
</dependency>
<!-- BEGIN_EXCLUDE -->
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.13</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.google.truth</groupId>
<artifactId>truth</artifactId>
<version>1.0.1</version>
<scope>test</scope>
</dependency>
<!-- END_EXCLUDE -->
</dependencies>

```
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Expand Up @@ -215,7 +215,7 @@ public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBui
* aggressive scaling). A scale-up factor closer to 0 will result in a smaller
* magnitude of scaling up (less aggressive scaling).
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -241,7 +241,7 @@ public double getScaleUpFactor() {
* update (more aggressive scaling). A scale-down factor of 0 disables
* removing workers, which can be beneficial for autoscaling a single job.
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand Down Expand Up @@ -964,7 +964,7 @@ public com.google.protobuf.DurationOrBuilder getGracefulDecommissionTimeoutOrBui
* aggressive scaling). A scale-up factor closer to 0 will result in a smaller
* magnitude of scaling up (less aggressive scaling).
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -987,7 +987,7 @@ public double getScaleUpFactor() {
* aggressive scaling). A scale-up factor closer to 0 will result in a smaller
* magnitude of scaling up (less aggressive scaling).
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -1013,7 +1013,7 @@ public Builder setScaleUpFactor(double value) {
* aggressive scaling). A scale-up factor closer to 0 will result in a smaller
* magnitude of scaling up (less aggressive scaling).
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -1040,7 +1040,7 @@ public Builder clearScaleUpFactor() {
* update (more aggressive scaling). A scale-down factor of 0 disables
* removing workers, which can be beneficial for autoscaling a single job.
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -1063,7 +1063,7 @@ public double getScaleDownFactor() {
* update (more aggressive scaling). A scale-down factor of 0 disables
* removing workers, which can be beneficial for autoscaling a single job.
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -1089,7 +1089,7 @@ public Builder setScaleDownFactor(double value) {
* update (more aggressive scaling). A scale-down factor of 0 disables
* removing workers, which can be beneficial for autoscaling a single job.
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
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Expand Up @@ -86,7 +86,7 @@ public interface BasicYarnAutoscalingConfigOrBuilder
* aggressive scaling). A scale-up factor closer to 0 will result in a smaller
* magnitude of scaling up (less aggressive scaling).
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand All @@ -107,7 +107,7 @@ public interface BasicYarnAutoscalingConfigOrBuilder
* update (more aggressive scaling). A scale-down factor of 0 disables
* removing workers, which can be beneficial for autoscaling a single job.
* See [How autoscaling
* works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
* for more information.
* Bounds: [0.0, 1.0].
* </pre>
Expand Down
Expand Up @@ -170,7 +170,7 @@ message BasicYarnAutoscalingConfig {
// aggressive scaling). A scale-up factor closer to 0 will result in a smaller
// magnitude of scaling up (less aggressive scaling).
// See [How autoscaling
// works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
// works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
// for more information.
//
// Bounds: [0.0, 1.0].
Expand All @@ -182,7 +182,7 @@ message BasicYarnAutoscalingConfig {
// update (more aggressive scaling). A scale-down factor of 0 disables
// removing workers, which can be beneficial for autoscaling a single job.
// See [How autoscaling
// works](/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
// works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
// for more information.
//
// Bounds: [0.0, 1.0].
Expand Down
4 changes: 2 additions & 2 deletions samples/snippets/pom.xml
Expand Up @@ -42,7 +42,7 @@
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-dataproc</artifactId>
</dependency>
<!-- BEGIN_EXCLUDE -->
<!-- [START_EXCLUDE] -->
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
Expand All @@ -59,7 +59,7 @@
<version>1.0.1</version>
<scope>test</scope>
</dependency>
<!-- END_EXCLUDE -->
<!-- [END_EXCLUDE] -->
</dependencies>
<!-- [END dataproc_install_with_bom] -->
</project>
8 changes: 4 additions & 4 deletions synth.metadata
Expand Up @@ -11,16 +11,16 @@
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
"sha": "d8a3dfb82f5cae3f1bcdcec7c5726581532da7d5",
"internalRef": "323829608"
"sha": "6fd07563a2f1a6785066f5955ad9659a315e4492",
"internalRef": "324941614"
}
},
{
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
"sha": "d8a3dfb82f5cae3f1bcdcec7c5726581532da7d5",
"internalRef": "323829608"
"sha": "6fd07563a2f1a6785066f5955ad9659a315e4492",
"internalRef": "324941614"
}
},
{
Expand Down

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