Examples with Ddl com.google.cloud.teleport.spanner.ddl.Ddl used on opensource projects

Example 81 with Ddl

use of com.google.cloud.teleport.spanner.ddl.Ddl in project DataflowTemplates by GoogleCloudPlatform.

the class TextImportTransformTest method readImportManifestPartialMatching.

@Test
public void readImportManifestPartialMatching() throws Exception {
    Path f11 = Files.createTempFile("table1-file", "1");
    Path f12 = Files.createTempFile("table1-file", "2");
    Path manifestFile = Files.createTempFile("import-manifest", ".json");
    Charset charset = Charset.forName("US-ASCII");
    try (BufferedWriter writer = Files.newBufferedWriter(manifestFile, charset)) {
        String jsonString = String.format("{\"tables\": [" + "{\"table_name\": \"table1\"," + "\"file_patterns\":[\"%s\",\"%s\"]}," + "{\"table_name\": \"table2\"," + "\"file_patterns\":[\"NOT_FOUND_FILE_PATTERN_\"]}" + "]}", f11.toString(), f12.toString());
        writer.write(jsonString, 0, jsonString.length());
    } catch (IOException e) {
        e.printStackTrace();
    }
    ValueProvider<String> importManifest = ValueProvider.StaticValueProvider.of(manifestFile.toString());
    PCollectionView<Ddl> ddlView = pipeline.apply("ddl", Create.of(getTestDdl())).apply(View.asSingleton());
    PCollection<KV<String, String>> tableAndFiles = pipeline.apply("Read manifest file", new ReadImportManifest(importManifest)).apply("Resolve data files", new ResolveDataFiles(importManifest, ddlView));
    PAssert.that(tableAndFiles).containsInAnyOrder(KV.of("table1", f11.toString()), KV.of("table1", f12.toString()));
    try {
        pipeline.run();
    } catch (Exception e) {
        e.printStackTrace();
    }
}

Example 82 with Ddl

use of com.google.cloud.teleport.spanner.ddl.Ddl in project DataflowTemplates by GoogleCloudPlatform.

the class TextImportTransformTest method readPgImportManifestTypeMismatch.

@Test
public void readPgImportManifestTypeMismatch() throws Exception {
    Path f11 = Files.createTempFile("table1-file", "1");
    Path manifestFile = Files.createTempFile("import-manifest", ".json");
    Charset charset = Charset.forName("UTF-8");
    try (BufferedWriter writer = Files.newBufferedWriter(manifestFile, charset)) {
        String jsonString = String.format("{\"tables\": [" + "{\"table_name\": \"table1\"," + "\"file_patterns\": [\"%s\"]," + "\"columns\": [{\"column_name\": \"int_col\", \"type_name\": \"text\"}]}" + "]}", f11.toString());
        writer.write(jsonString, 0, jsonString.length());
    }
    ValueProvider<String> importManifest = ValueProvider.StaticValueProvider.of(manifestFile.toString());
    PCollectionView<Ddl> ddlView = pipeline.apply("ddl", Create.of(getPgTestDdl())).apply(View.asSingleton());
    PCollection<KV<String, String>> tableAndFiles = pipeline.apply("Read manifest file", new ReadImportManifest(importManifest)).apply("Resolve data files", new ResolveDataFiles(importManifest, ddlView));
    PipelineExecutionException thrown = assertThrows(PipelineExecutionException.class, () -> pipeline.run());
    assertThat(thrown.getMessage(), equalTo("java.lang.RuntimeException: Mismatching type: Table table1 Column int_col [PG_INT8" + " from DB and text from manifest]"));
}

Example 83 with Ddl

use of com.google.cloud.teleport.spanner.ddl.Ddl in project DataflowTemplates by GoogleCloudPlatform.

the class TextImportTransformTest method readPgImportManifestTypeMustMatch.

@Test
public void readPgImportManifestTypeMustMatch() throws Exception {
    Path f11 = Files.createTempFile("table1-file", "1");
    Path manifestFile = Files.createTempFile("import-manifest", ".json");
    Charset charset = Charset.forName("UTF-8");
    try (BufferedWriter writer = Files.newBufferedWriter(manifestFile, charset)) {
        String jsonString = String.format("{\"tables\": [{\"table_name\": \"table1\",\"file_patterns\": [\"%s\"],\"columns\":" + " [{\"column_name\": \"int_col\", \"type_name\": \"bigint\"}," + " {\"column_name\":\"str_10_col\", \"type_name\": \"character varying(10)\"}," + " {\"column_name\":\"float_col\", \"type_name\": \"double precision\"}," + " {\"column_name\":\"bool_col\", \"type_name\": \"boolean\"}," + " {\"column_name\": \"byte_col\", \"type_name\": \"bytea\"}," + " {\"column_name\": \"timestamp_col\"," + " \"type_name\":\"timestamp with time zone\"}," + " {\"column_name\": \"numeric_col\", \"type_name\": \"numeric\"}," + " {\"column_name\": \"date_col\", \"type_name\": \"date\"}]}]}", f11.toString());
        writer.write(jsonString, 0, jsonString.length());
    }
    ValueProvider<String> importManifest = ValueProvider.StaticValueProvider.of(manifestFile.toString());
    PCollectionView<Ddl> ddlView = pipeline.apply("ddl", Create.of(getPgTestDdl())).apply(View.asSingleton());
    PCollection<KV<String, String>> tableAndFiles = pipeline.apply("Read manifest file", new ReadImportManifest(importManifest)).apply("Resolve data files", new ResolveDataFiles(importManifest, ddlView));
    pipeline.run();
}

Example 84 with Ddl

use of com.google.cloud.teleport.spanner.ddl.Ddl in project DataflowTemplates by GoogleCloudPlatform.

the class TextImportTransformTest method readImportManifestGeneratedColumnCannotBeImported.

@Test
public void readImportManifestGeneratedColumnCannotBeImported() throws Exception {
    Path f31 = Files.createTempFile("table3-file", "1");
    Path manifestFile = Files.createTempFile("import-manifest", ".json");
    Charset charset = Charset.forName("UTF-8");
    try (BufferedWriter writer = Files.newBufferedWriter(manifestFile, charset)) {
        String jsonString = String.format("{\"tables\": [" + "{\"table_name\": \"table3\"," + "\"file_patterns\": [\"%s\"]," + "\"columns\": [{\"column_name\": \"gen_col\", \"type_name\": \"INT64\"}]}" + "]}", f31.toString());
        writer.write(jsonString, 0, jsonString.length());
    } catch (IOException e) {
        e.printStackTrace();
    }
    ValueProvider<String> importManifest = ValueProvider.StaticValueProvider.of(manifestFile.toString());
    PCollectionView<Ddl> ddlView = pipeline.apply("ddl", Create.of(getTestDdl())).apply(View.asSingleton());
    PCollection<KV<String, String>> tableAndFiles = pipeline.apply("Read manifest file", new ReadImportManifest(importManifest)).apply("Resolve data files", new ResolveDataFiles(importManifest, ddlView));
    try {
        pipeline.run();
    } catch (PipelineExecutionException e) {
        assertThat(e.getMessage(), equalTo("java.lang.RuntimeException: Column gen_col in manifest is a generated column " + "in DB table table3. Generated columns cannot be imported."));
    }
}

Example 85 with Ddl

use of com.google.cloud.teleport.spanner.ddl.Ddl in project DataflowTemplates by GoogleCloudPlatform.

the class AvroSchemaToDdlConverterTest method columnOptions.

@Test
public void columnOptions() {
    String avroString = "{" + "  \"type\" : \"record\"," + "  \"name\" : \"Users\"," + "  \"namespace\" : \"spannertest\"," + "  \"fields\" : [ {" + "    \"name\" : \"id\"," + "    \"type\" : \"long\"," + "    \"sqlType\" : \"INT64\"" + "  }, {" + "    \"name\" : \"first_name\"," + "    \"type\" : [ \"null\", \"string\" ]," + "    \"sqlType\" : \"STRING(10)\"," + "    \"spannerOption_0\" : \"allow_commit_timestamp=TRUE\"," + "    \"spannerOption_1\" : \"my_random_opt=\\\"1\\\"\"" + "  }]," + "  \"googleStorage\" : \"CloudSpanner\"," + "  \"spannerParent\" : \"\"," + "  \"googleFormatVersion\" : \"booleans\"," + "  \"spannerPrimaryKey_0\" : \"`id` ASC\"" + "}";
    Schema schema = new Schema.Parser().parse(avroString);
    AvroSchemaToDdlConverter converter = new AvroSchemaToDdlConverter();
    Ddl ddl = converter.toDdl(Collections.singleton(schema));
    assertThat(ddl.allTables(), hasSize(1));
    assertThat(ddl.prettyPrint(), equalToCompressingWhiteSpace("CREATE TABLE `Users` (" + " `id`                                    INT64 NOT NULL," + " `first_name`                             STRING(10) " + " OPTIONS (allow_commit_timestamp=TRUE,my_random_opt=\"1\")," + " ) PRIMARY KEY (`id` ASC)"));
}