Examples with DataSource com.thinkbiganalytics.kylo.catalog.rest.model.DataSource used on opensource projects

Example 36 with DataSource

use of com.thinkbiganalytics.kylo.catalog.rest.model.DataSource in project kylo by Teradata.

the class SparkShellProxyController method preview.

@POST
@Path("/preview")
@Consumes(MediaType.APPLICATION_JSON)
@Produces(MediaType.APPLICATION_JSON)
@ApiOperation("Returns the dataset preview")
@ApiResponses({ @ApiResponse(code = 200, message = "Returns the status of the file-metadata job.", response = PreviewDataSetTransformResponse.class), @ApiResponse(code = 400, message = "The requested data source does not exist.", response = RestResponseStatus.class), @ApiResponse(code = 500, message = "There was a problem processing the data.", response = RestResponseStatus.class) })
public Response preview(PreviewDataSetRequest previewRequest) {
    DataSource catalogDataSource = fetchCatalogDataSource(previewRequest.getDataSource().getId());
    previewRequest.setDataSource(catalogDataSource);
    if (previewRequest.isFilePreview() && previewRequest.getSchemaParser() == null) {
        // set it to a text preview
        previewRequest.setSchemaParser(getTextSchemaParserDescriptor());
    }
    KyloCatalogReadRequest request = KyloCatalogReaderUtil.toKyloCatalogRequest(previewRequest);
    final SparkShellProcess process = getSparkShellProcess();
    return getTransformResponse(() -> {
        PreviewDataSetTransformResponse response = null;
        boolean fallbackToTextParser = previewRequest.isFallbackToTextOnError();
        try {
            TransformResponse transformResponse = restClient.kyloCatalogTransform(process, request);
            response = new PreviewDataSetTransformResponse(transformResponse, previewRequest.getSchemaParser());
        } catch (Exception e) {
            // should we attempt to re preview the data as plain text
            if (fallbackToTextParser && previewRequest.getSchemaParser() != null && !"text".equalsIgnoreCase(previewRequest.getSchemaParser().getSparkFormat())) {
                previewRequest.setSchemaParser(getTextSchemaParserDescriptor());
                KyloCatalogReadRequest request2 = KyloCatalogReaderUtil.toKyloCatalogRequest(previewRequest);
                TransformResponse transformResponse = restClient.kyloCatalogTransform(process, request2);
                response = new PreviewDataSetTransformResponse(transformResponse, previewRequest.getSchemaParser());
            } else {
                throw e;
            }
            throw e;
        }
        return response;
    });
}

Example 37 with DataSource

use of com.thinkbiganalytics.kylo.catalog.rest.model.DataSource in project kylo by Teradata.

the class KyloCatalogReaderUtil method toKyloCatalogRequest.

public static KyloCatalogReadRequest toKyloCatalogRequest(PreviewDataSetRequest previewRequest) {
    DataSource dataSource = previewRequest.getDataSource();
    Connector connector = dataSource.getConnector();
    // merge template
    DataSetTemplate dataSetTemplate = DataSourceUtil.mergeTemplates(dataSource);
    // get data out of the dataset template
    List<String> jars = dataSetTemplate.getJars();
    List<String> paths = dataSetTemplate.getPaths();
    List<String> files = dataSetTemplate.getFiles();
    String format = dataSetTemplate.getFormat();
    Map<String, String> options = dataSetTemplate.getOptions();
    if (options == null) {
        options = new HashMap<>();
    }
    // parse the SchemaParser if it exists and add options and update the format
    if (previewRequest.getSchemaParser() != null) {
        SchemaParserDescriptor schemaParser = previewRequest.getSchemaParser();
        Map<String, String> sparkOptions = schemaParser.getProperties().stream().collect(Collectors.toMap(p -> p.getAdditionalProperties().stream().filter(labelValue -> "spark.option".equalsIgnoreCase(labelValue.getLabel())).map(labelValue -> labelValue.getValue()).findFirst().orElse(""), p -> p.getValue()));
        // remove any options that produced an empty key
        sparkOptions.remove("");
        // supplied options by the schema parse take precedence over the template options
        options.putAll(sparkOptions);
        format = schemaParser.getSparkFormat();
    }
    // add in additional preview options
    if (previewRequest.getProperties() != null && !previewRequest.getProperties().isEmpty()) {
        options.putAll(previewRequest.getProperties());
    }
    KyloCatalogReadRequest request = new KyloCatalogReadRequest();
    request.setFiles(files);
    request.setJars(jars);
    request.setFormat(format);
    request.setOptions(options);
    if (previewRequest.getPreviewItem() != null && previewRequest.isAddPreviewItemToPath()) {
        request.addPath(previewRequest.getPreviewItem());
    }
    PageSpec pageSpec = previewRequest.getPageSpec();
    if (pageSpec == null) {
        pageSpec = new PageSpec();
    }
    request.setPageSpec(pageSpec);
    return request;
}

Example 38 with DataSource

use of com.thinkbiganalytics.kylo.catalog.rest.model.DataSource in project kylo by Teradata.

the class DataSourceIT method testListFilesS3.

/**
 * Verify listing files from the Amazon S3 connector.
 */
@Test
public void testListFilesS3() {
    Assume.assumeNotNull(awsAccessKeyId, awsSecretAccessKey);
    // Create an S3 data source
    final Connector connector = new Connector();
    connector.setId("amazon-s3");
    final DefaultDataSetTemplate template = new DefaultDataSetTemplate();
    template.setOptions(new HashMap<>());
    template.getOptions().put("spark.hadoop.fs.s3a.access.key", awsAccessKeyId);
    template.getOptions().put("spark.hadoop.fs.s3a.secret.key", awsSecretAccessKey);
    final DataSource request = new DataSource();
    request.setConnector(connector);
    request.setTemplate(template);
    request.setTitle("test list files s3");
    final DataSource dataSource = given(DataSourceController.BASE).when().body(request).post().then().statusCode(200).extract().as(DataSource.class);
    // Test listing buckets
    final List<DataSetFile> buckets = given(DataSourceController.BASE).when().pathParam("id", dataSource.getId()).queryParam("path", "s3a:/").get("{id}/files").then().statusCode(200).extract().as(DataSetFileList.class);
    Assert.assertThat(buckets, CoreMatchers.hasItem(new CustomMatcher<DataSetFile>("DataSetFile name=thinkbig.greg directory=true") {

        @Override
        public boolean matches(final Object item) {
            return (item instanceof DataSetFile) && Objects.equals("thinkbig.greg", ((DataSetFile) item).getName()) && Objects.equals("s3a://thinkbig.greg/", ((DataSetFile) item).getPath()) && ((DataSetFile) item).isDirectory();
        }
    }));
    // Test listing files
    final List<DataSetFile> files = given(DataSourceController.BASE).when().pathParam("id", dataSource.getId()).queryParam("path", "s3a://thinkbig.greg/").get("{id}/files").then().statusCode(200).extract().as(DataSetFileList.class);
    Assert.assertThat(files, CoreMatchers.hasItem(new CustomMatcher<DataSetFile>("DataSetFile name=userdata1.csv directory=false") {

        @Override
        public boolean matches(Object item) {
            return (item instanceof DataSetFile) && Objects.equals("userdata1.csv", ((DataSetFile) item).getName()) && Objects.equals("s3a://thinkbig.greg/userdata1.csv", ((DataSetFile) item).getPath()) && !((DataSetFile) item).isDirectory();
        }
    }));
}

Example 39 with DataSource

use of com.thinkbiganalytics.kylo.catalog.rest.model.DataSource in project kylo by Teradata.

the class DataSourceIT method testListFilesAzureNative.

/**
 * Verify listing files from the Azure Storage connector.
 */
@Test
public void testListFilesAzureNative() {
    Assume.assumeNotNull(azureAccountKey);
    // Create an Azure data source
    final Connector connector = new Connector();
    connector.setId("azure-storage");
    final DefaultDataSetTemplate template = new DefaultDataSetTemplate();
    template.setOptions(Collections.singletonMap("spark.hadoop.fs.azure.account.key.kylogreg1.blob.core.windows.net", azureAccountKey));
    final DataSource request = new DataSource();
    request.setConnector(connector);
    request.setTemplate(template);
    request.setTitle("test list files wasb");
    final DataSource dataSource = given(DataSourceController.BASE).when().body(request).post().then().statusCode(200).extract().as(DataSource.class);
    // Test listing containers
    final List<DataSetFile> containers = given(DataSourceController.BASE).when().pathParam("id", dataSource.getId()).queryParam("path", "wasb://kylogreg1.blob.core.windows.net/").get("{id}/files").then().statusCode(200).extract().as(DataSetFileList.class);
    Assert.assertThat(containers, CoreMatchers.hasItem(new CustomMatcher<DataSetFile>("DataSetFile name=blob123 directory=true") {

        @Override
        public boolean matches(final Object item) {
            return (item instanceof DataSetFile) && Objects.equals("blob123", ((DataSetFile) item).getName()) && Objects.equals("wasb://blob123@kylogreg1.blob.core.windows.net/", ((DataSetFile) item).getPath()) && ((DataSetFile) item).isDirectory();
        }
    }));
    // Test listing files
    final List<DataSetFile> files = given(DataSourceController.BASE).when().pathParam("id", dataSource.getId()).queryParam("path", "wasb://blob123@kylogreg1.blob.core.windows.net/").get("{id}/files").then().statusCode(200).extract().as(DataSetFileList.class);
    Assert.assertThat(files, CoreMatchers.hasItem(new CustomMatcher<DataSetFile>("DataSetFile name=books1.json directory=true") {

        @Override
        public boolean matches(final Object item) {
            return (item instanceof DataSetFile) && Objects.equals("books1.json", ((DataSetFile) item).getName()) && Objects.equals("wasb://blob123@kylogreg1.blob.core.windows.net/books1.json", ((DataSetFile) item).getPath()) && !((DataSetFile) item).isDirectory();
        }
    }));
}

Example 40 with DataSource

use of com.thinkbiganalytics.kylo.catalog.rest.model.DataSource in project kylo by Teradata.

the class IntegrationTestBase method deleteExistingDatasources.

protected void deleteExistingDatasources() {
    LOG.info("Deleting existing Datasources");
    Datasource[] datasources = getDatasources();
    for (Datasource datasource : datasources) {
        deleteDatasource(datasource.getId());
    }
    datasources = getDatasources();
    Assert.assertTrue(datasources.length == 0);
    DataSource[] jdbcDataSources = getJdbcDataSources();
    if (jdbcDataSources != null) {
        for (DataSource dataSource : jdbcDataSources) {
            deleteDataSource(dataSource.getId());
        }
    }
    jdbcDataSources = getJdbcDataSources();
    Assert.assertTrue(jdbcDataSources.length == 0);
}