How are you planning on generating these cases? By hand? Or automated?
2013/3/19 Dan DeCapria, CivicScience <[email protected]> > String string_databag in this example was typed out by me, as the input > String for a JUnit test method. I am considering generating many of these > for case specific unit testing of my UDFs. > > -Dan > > On Tue, Mar 19, 2013 at 11:27 AM, Jonathan Coveney <[email protected] > >wrote: > > > how was string_databag generated? > > > > > > 2013/3/19 Dan DeCapria, CivicScience <[email protected]> > > > > > Expanding upon this, the following use case's Schema Object can be > > resolved > > > from inputs: > > > > > > String string_databag = "{(a,(b,d),f)}"; > > > String string_schema = > > > "b1:bag{t1:tuple(a:chararray,t2:tuple(b:chararray,d:long),f:long)}"; > > > Schema schema = Utils.getSchemaFromString(string_schema); > > > > > > Next step is to resolve a DataBag Object from String string_databag and > > the > > > Schema Object. > > > > > > -Dan > > > > > > On Tue, Mar 19, 2013 at 9:37 AM, Dan DeCapria, CivicScience < > > > [email protected]> wrote: > > > > > > > Thank you for your reply. > > > > > > > > The problem is I cannot find a methodology to go from a String > > > > representation of a complex data type to a nested Object of pig > > > DataTypes. > > > > I looked over the pig 0.10.1 docs, but cannot find a way to go from > > > String > > > > and Schema to pig DataType Object. > > > > > > > > For context, I am generating these Strings for my own JUnit testing > of > > > > other UDFs. Currently, for complex types, I have to generate each > > > nesting > > > > from Tuple and DataBag factories, append data, and next them > manually. > > > For > > > > larger unit tests, this process becomes unwieldy (hundreds of lines > per > > > > method, non-dynamic), and it would be much simpler to go directly > from > > a > > > > String and a Schema to a DataBag Object for UDF testing (few lines of > > > code, > > > > easily modifiable). > > > > > > > > -Dan > > > > > > > > > > > > On Mon, Mar 18, 2013 at 6:31 PM, Jonathan Coveney < > [email protected] > > > >wrote: > > > > > > > >> Why not just use PigStorage? This is essentially what it does. It > > saves > > > a > > > >> bag as text, and then loads it again. > > > >> > > > >> I suppose the question becomes: why do you need to do this? > > > >> > > > >> > > > >> 2013/3/18 Dan DeCapria, CivicScience <[email protected] > > > > > >> > > > >> > In Java, I am trying to convert a DataBag from it's String > > > >> representation > > > >> > with its schema String to a valid DataBag Object: > > > >> > > > > >> > String databag_string = "{(apples,1024)}"; > > > >> > String schema_string = "b1:bag{t1:tuple(a:chararray,b:long)}"; > > > >> > > > > >> > I've tried implementing something along the lines of this, but I > > > believe > > > >> > it's in the wrong direction, and then I get stuck: > > > >> > > > > >> > String[] aliases = {"b1", "t1", "a", "b"}; > > > >> > byte[] types = {DataType.BAG, DataType.TUPLE, > > > >> DataType.CHARARRAY, > > > >> > DataType.LONG}; > > > >> > List<Schema.FieldSchema> fsList = new > > > >> > ArrayList<Schema.FieldSchema>(); > > > >> > for (int i = 0; i < aliases.length; i++) { > > > >> > fsList.add(new Schema.FieldSchema(aliases[i], > > types[i])) ; > > > >> > } > > > >> > Schema origSchema = new Schema(fsList); > > > >> > ResourceSchema rsSchema = new ResourceSchema(origSchema); > > > >> > Schema genSchema = Schema.getPigSchema(rsSchema); > > > >> > ResourceSchema.ResourceFieldSchema[] rfschema = > > > >> > rsSchema.getFields(); > > > >> > ... lost here, maybe Utf8StorageConverter c = new > > > >> > Utf8StorageConverter(); ??? > > > >> > > > > >> > > > > >> > An ideal process would be along the lines of: > > > >> > > > > >> > DataBag d = BagFactory.getInstance().newDefaultBag(); > > > >> > d.something(databag_string, schema_string); // ??? no idea what > > > this > > > >> > process could be > > > >> > d.toString().equals(databag_string) == true. > > > >> > > > > >> > Thanks, -Dan > > > >> > > > > >> > > > > > > > > > > > > > > > > -- > > > > Dan DeCapria > > > > CivicScience, Inc. > > > > Senior Informatics / DM / ML / BI Specialist > > > > > > > > > > > > > > > > -- > > > Dan DeCapria > > > CivicScience, Inc. > > > Senior Informatics / DM / ML / BI Specialist > > > > > > > > > -- > Dan DeCapria > CivicScience, Inc. > Senior Informatics / DM / ML / BI Specialist >
