bug(bigtable): Handle default values

v1/README_Cloud_Bigtable_to_GCS_Json.md

@@ -20,11 +20,11 @@ on [Metadata Annotations](https://github.com/GoogleCloudPlatform/DataflowTemplat
 * **bigtableProjectId** : The ID for the Google Cloud project that contains the Bigtable instance that you want to read data from.
 * **bigtableInstanceId** : The ID of the Bigtable instance that contains the table.
 * **bigtableTableId** : The ID of the Bigtable table to read from.
-* **filenamePrefix** : The prefix of the JSON file name. For example, "table1-". If no value is provided, defaults to `part`.
+* **outputDirectory** : The Cloud Storage path where the output JSON files are stored. (Example: gs://your-bucket/your-path/).
 
 ### Optional parameters
 
-* **outputDirectory** : The Cloud Storage path where the output JSON files are stored. (Example: gs://your-bucket/your-path/).
+* **filenamePrefix** : The prefix of the JSON file name. For example, "table1-". If no value is provided, defaults to `part`.
 * **userOption** : Possible values are `FLATTEN` or `NONE`. `FLATTEN` flattens the row to the single level. `NONE` stores the whole row as a JSON string. Defaults to `NONE`.
 * **columnsAliases** : A comma-separated list of columns that are required for the Vertex AI Vector Search index. The columns `id` and `embedding` are required for Vertex AI Vector Search. You can use the notation `fromfamily:fromcolumn;to`. For example, if the columns are `rowkey` and `cf:my_embedding`, where `rowkey` has a different name than the embedding column, specify `cf:my_embedding;embedding` and, `rowkey;id`. Only use this option when the value for `userOption` is `FLATTEN`.
 * **bigtableAppProfileId** : The ID of the Bigtable application profile to use for the export. If you don't specify an app profile, Bigtable uses the instance's default app profile: https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile.
@@ -111,10 +111,10 @@ export TEMPLATE_SPEC_GCSPATH="gs://$BUCKET_NAME/templates/Cloud_Bigtable_to_GCS_
 export BIGTABLE_PROJECT_ID=<bigtableProjectId>
 export BIGTABLE_INSTANCE_ID=<bigtableInstanceId>
 export BIGTABLE_TABLE_ID=<bigtableTableId>
-export FILENAME_PREFIX=part
+export OUTPUT_DIRECTORY=<outputDirectory>
 
 ### Optional
-export OUTPUT_DIRECTORY=<outputDirectory>
+export FILENAME_PREFIX=part
 export USER_OPTION=NONE
 export COLUMNS_ALIASES=<columnsAliases>
 export BIGTABLE_APP_PROFILE_ID=default
@@ -152,10 +152,10 @@ export REGION=us-central1
 export BIGTABLE_PROJECT_ID=<bigtableProjectId>
 export BIGTABLE_INSTANCE_ID=<bigtableInstanceId>
 export BIGTABLE_TABLE_ID=<bigtableTableId>
-export FILENAME_PREFIX=part
+export OUTPUT_DIRECTORY=<outputDirectory>
 
 ### Optional
-export OUTPUT_DIRECTORY=<outputDirectory>
+export FILENAME_PREFIX=part
 export USER_OPTION=NONE
 export COLUMNS_ALIASES=<columnsAliases>
 export BIGTABLE_APP_PROFILE_ID=default
@@ -216,8 +216,8 @@ resource "google_dataflow_job" "cloud_bigtable_to_gcs_json" {
     bigtableProjectId = "<bigtableProjectId>"
     bigtableInstanceId = "<bigtableInstanceId>"
     bigtableTableId = "<bigtableTableId>"
-    filenamePrefix = "part"
-    # outputDirectory = "gs://your-bucket/your-path/"
+    outputDirectory = "gs://your-bucket/your-path/"
+    # filenamePrefix = "part"
     # userOption = "NONE"
     # columnsAliases = "<columnsAliases>"
     # bigtableAppProfileId = "default"

v1/README_Cloud_Bigtable_to_Vector_Embeddings.md

@@ -21,13 +21,13 @@ on [Metadata Annotations](https://github.com/GoogleCloudPlatform/DataflowTemplat
 * **bigtableProjectId** : The ID for the Google Cloud project that contains the Bigtable instance that you want to read data from.
 * **bigtableInstanceId** : The ID of the Bigtable instance that contains the table.
 * **bigtableTableId** : The ID of the Bigtable table to read from.
-* **filenamePrefix** : The prefix of the JSON filename. For example: "table1-". If no value is provided, defaults to "part".
+* **outputDirectory** : The Cloud Storage path where the output JSON files are stored. (Example: gs://your-bucket/your-path/).
 * **idColumn** : The fully qualified column name where the ID is stored. In the format cf:col or _key.
 * **embeddingColumn** : The fully qualified column name where the embeddings are stored. In the format cf:col or _key.
 
 ### Optional parameters
 
-* **outputDirectory** : The Cloud Storage path where the output JSON files are stored. (Example: gs://your-bucket/your-path/).
+* **filenamePrefix** : The prefix of the JSON filename. For example: "table1-". If no value is provided, defaults to "part".
 * **crowdingTagColumn** : The fully qualified column name where the crowding tag is stored. In the format cf:col or _key.
 * **embeddingByteSize** : The byte size of each entry in the embeddings array. For float, use the value 4. For double, use the value 8. Defaults to 4.
 * **allowRestrictsMappings** : The comma-separated, fully qualified column names for the columns to use as the allow restricts, with their aliases. In the format cf:col->alias.
@@ -119,12 +119,12 @@ export TEMPLATE_SPEC_GCSPATH="gs://$BUCKET_NAME/templates/Cloud_Bigtable_to_Vect
 export BIGTABLE_PROJECT_ID=<bigtableProjectId>
 export BIGTABLE_INSTANCE_ID=<bigtableInstanceId>
 export BIGTABLE_TABLE_ID=<bigtableTableId>
-export FILENAME_PREFIX=part
+export OUTPUT_DIRECTORY=<outputDirectory>
 export ID_COLUMN=<idColumn>
 export EMBEDDING_COLUMN=<embeddingColumn>
 
 ### Optional
-export OUTPUT_DIRECTORY=<outputDirectory>
+export FILENAME_PREFIX=part
 export CROWDING_TAG_COLUMN=<crowdingTagColumn>
 export EMBEDDING_BYTE_SIZE=4
 export ALLOW_RESTRICTS_MAPPINGS=<allowRestrictsMappings>
@@ -174,12 +174,12 @@ export REGION=us-central1
 export BIGTABLE_PROJECT_ID=<bigtableProjectId>
 export BIGTABLE_INSTANCE_ID=<bigtableInstanceId>
 export BIGTABLE_TABLE_ID=<bigtableTableId>
-export FILENAME_PREFIX=part
+export OUTPUT_DIRECTORY=<outputDirectory>
 export ID_COLUMN=<idColumn>
 export EMBEDDING_COLUMN=<embeddingColumn>
 
 ### Optional
-export OUTPUT_DIRECTORY=<outputDirectory>
+export FILENAME_PREFIX=part
 export CROWDING_TAG_COLUMN=<crowdingTagColumn>
 export EMBEDDING_BYTE_SIZE=4
 export ALLOW_RESTRICTS_MAPPINGS=<allowRestrictsMappings>
@@ -245,10 +245,10 @@ resource "google_dataflow_job" "cloud_bigtable_to_vector_embeddings" {
     bigtableProjectId = "<bigtableProjectId>"
     bigtableInstanceId = "<bigtableInstanceId>"
     bigtableTableId = "<bigtableTableId>"
-    filenamePrefix = "part"
+    outputDirectory = "gs://your-bucket/your-path/"
     idColumn = "<idColumn>"
     embeddingColumn = "<embeddingColumn>"
-    # outputDirectory = "gs://your-bucket/your-path/"
+    # filenamePrefix = "part"
     # crowdingTagColumn = "<crowdingTagColumn>"
     # embeddingByteSize = "4"
     # allowRestrictsMappings = "<allowRestrictsMappings>"

v1/src/main/java/com/google/cloud/teleport/bigtable/BigtableToJson.java

@@ -24,6 +24,8 @@
 import com.google.cloud.teleport.metadata.TemplateCategory;
 import com.google.cloud.teleport.metadata.TemplateParameter;
 import com.google.cloud.teleport.metadata.TemplateParameter.TemplateEnumOption;
+import com.google.cloud.teleport.util.DualInputNestedValueProvider;
+import com.google.cloud.teleport.util.DualInputNestedValueProvider.TranslatorInput;
 import com.google.gson.stream.JsonWriter;
 import java.io.IOException;
 import java.io.StringWriter;
@@ -32,11 +34,14 @@
 import org.apache.beam.runners.dataflow.options.DataflowPipelineOptions;
 import org.apache.beam.sdk.Pipeline;
 import org.apache.beam.sdk.PipelineResult;
+import org.apache.beam.sdk.io.FileSystems;
 import org.apache.beam.sdk.io.TextIO;
+import org.apache.beam.sdk.io.fs.ResolveOptions.StandardResolveOptions;
 import org.apache.beam.sdk.io.gcp.bigtable.BigtableIO;
 import org.apache.beam.sdk.options.Default;
 import org.apache.beam.sdk.options.PipelineOptions;
 import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.options.Validation.Required;
 import org.apache.beam.sdk.options.ValueProvider;
 import org.apache.beam.sdk.transforms.MapElements;
 import org.apache.beam.sdk.transforms.SerializableFunction;
@@ -108,10 +113,10 @@
     @TemplateParameter.GcsWriteFolder(
         order = 4,
         groupName = "Target",
-        optional = true,
         description = "Cloud Storage directory for storing JSON files",
         helpText = "The Cloud Storage path where the output JSON files are stored.",
         example = "gs://your-bucket/your-path/")
+    @Required
     ValueProvider<String> getOutputDirectory();
 
     @SuppressWarnings("unused")
@@ -120,6 +125,7 @@
     @TemplateParameter.Text(
         order = 5,
         groupName = "Target",
+        optional = true,
         description = "JSON file prefix",
         helpText =
             "The prefix of the JSON file name. For example, \"table1-\". If no value is provided, defaults to `part`.")
@@ -208,28 +214,27 @@
       read = read.withoutValidation();
     }
 
-    // Concatenating cloud storage folder with file prefix to get complete path
-    ValueProvider<String> outputFilePrefix = options.getFilenamePrefix();
-
-    ValueProvider<String> outputFilePathWithPrefix =
-        ValueProvider.NestedValueProvider.of(
+    ValueProvider<String> filePathPrefix =
+        DualInputNestedValueProvider.of(
             options.getOutputDirectory(),
-            (SerializableFunction<String, String>)
-                folder -> {
-                  if (!folder.endsWith("/")) {
-                    // Appending the slash if not provided by user
-                    folder = folder + "/";
-                  }
-                  return folder + outputFilePrefix.get();
-                });
+            options.getFilenamePrefix(),
+            new SerializableFunction<TranslatorInput<String, String>, String>() {
+              @Override
+              public String apply(TranslatorInput<String, String> input) {
+                return FileSystems.matchNewResource(input.getX(), true)
+                    .resolve(input.getY(), StandardResolveOptions.RESOLVE_FILE)
+                    .toString();
+              }
+            });
+
     String userOption = options.getUserOption();
     pipeline
         .apply("Read from Bigtable", read)
         .apply(
             "Transform to JSON",
             MapElements.via(
                 new BigtableToJsonFn(userOption.equals("FLATTEN"), options.getColumnsAliases())))
-        .apply("Write to storage", TextIO.write().to(outputFilePathWithPrefix).withSuffix(".json"));
+        .apply("Write to storage", TextIO.write().to(filePathPrefix).withSuffix(".json"));
 
     return pipeline.run();
   }

v1/src/main/java/com/google/cloud/teleport/bigtable/BigtableToVectorEmbeddings.java

@@ -24,6 +24,8 @@
 import com.google.cloud.teleport.metadata.Template;
 import com.google.cloud.teleport.metadata.TemplateCategory;
 import com.google.cloud.teleport.metadata.TemplateParameter;
+import com.google.cloud.teleport.util.DualInputNestedValueProvider;
+import com.google.cloud.teleport.util.DualInputNestedValueProvider.TranslatorInput;
 import com.google.gson.stream.JsonWriter;
 import com.google.protobuf.ByteString;
 import java.io.IOException;
@@ -36,11 +38,14 @@
 import org.apache.beam.runners.dataflow.options.DataflowPipelineOptions;
 import org.apache.beam.sdk.Pipeline;
 import org.apache.beam.sdk.PipelineResult;
+import org.apache.beam.sdk.io.FileSystems;
 import org.apache.beam.sdk.io.TextIO;
+import org.apache.beam.sdk.io.fs.ResolveOptions.StandardResolveOptions;
 import org.apache.beam.sdk.io.gcp.bigtable.BigtableIO;
 import org.apache.beam.sdk.options.Default;
 import org.apache.beam.sdk.options.PipelineOptions;
 import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.options.Validation.Required;
 import org.apache.beam.sdk.options.ValueProvider;
 import org.apache.beam.sdk.transforms.MapElements;
 import org.apache.beam.sdk.transforms.SerializableFunction;
@@ -114,10 +119,10 @@
     @TemplateParameter.GcsWriteFolder(
         order = 4,
         groupName = "Target",
-        optional = true,
         description = "Cloud Storage directory for storing JSON files",
         helpText = "The Cloud Storage path where the output JSON files are stored.",
         example = "gs://your-bucket/your-path/")
+    @Required
     ValueProvider<String> getOutputDirectory();
 
     @SuppressWarnings("unused")
@@ -126,6 +131,7 @@
     @TemplateParameter.Text(
         order = 5,
         groupName = "Target",
+        optional = true,
         description = "JSON file prefix",
         helpText =
             "The prefix of the JSON filename. For example: \"table1-\". If no value is provided, defaults to \"part\".")
@@ -281,19 +287,18 @@
     }
 
     // Concatenating cloud storage folder with file prefix to get complete path
-    ValueProvider<String> outputFilePrefix = options.getFilenamePrefix();
-
-    ValueProvider<String> outputFilePathWithPrefix =
-        ValueProvider.NestedValueProvider.of(
+    ValueProvider<String> filePathPrefix =
+        DualInputNestedValueProvider.of(
             options.getOutputDirectory(),
-            (SerializableFunction<String, String>)
-                folder -> {
-                  if (!folder.endsWith("/")) {
-                    // Appending the slash if not provided by user
-                    folder = folder + "/";
-                  }
-                  return folder + outputFilePrefix.get();
-                });
+            options.getFilenamePrefix(),
+            new SerializableFunction<TranslatorInput<String, String>, String>() {
+              @Override
+              public String apply(TranslatorInput<String, String> input) {
+                return FileSystems.matchNewResource(input.getX(), true)
+                    .resolve(input.getY(), StandardResolveOptions.RESOLVE_FILE)
+                    .toString();
+              }
+            });
     pipeline
         .apply("Read from Bigtable", read)
         .apply(
@@ -309,7 +314,7 @@
                     options.getIntNumericRestrictsMappings(),
                     options.getFloatNumericRestrictsMappings(),
                     options.getDoubleNumericRestrictsMappings())))
-        .apply("Write to storage", TextIO.write().to(outputFilePathWithPrefix).withSuffix(".json"));
+        .apply("Write to storage", TextIO.write().to(filePathPrefix).withSuffix(".json"));
 
     return pipeline.run();
   }

v1/src/test/java/com/google/cloud/teleport/templates/BigtableToJsonIT.java

@@ -86,7 +86,6 @@ public void testUnflattenedBigtableToJson() throws IOException {
             .addParameter("bigtableInstanceId", bigtableResourceManager.getInstanceId())
             .addParameter("bigtableTableId", tableId)
             .addParameter("outputDirectory", getGcsPath("output/"))
-            .addParameter("filenamePrefix", "bigtable-to-json-output-")
             .addParameter("bigtableAppProfileId", appProfileId);
 
     // Act

v1/src/test/java/com/google/cloud/teleport/templates/BigtableToVectorEmbeddingsIT.java

@@ -158,7 +158,6 @@ public void testBigtableToVectorEmbeddings() throws IOException {
             .addParameter("bigtableInstanceId", bigtableResourceManager.getInstanceId())
             .addParameter("bigtableTableId", tableId)
             .addParameter("outputDirectory", getGcsPath("output/"))
-            .addParameter("filenamePrefix", "bigtable-to-json-output-")
             .addParameter("idColumn", "_key")
             .addParameter("embeddingColumn", "cf1:embedding")
             .addParameter("crowdingTagColumn", "cf2:crowding")