I am trying to merge two datasets. The dataset on the left contains data about input variables. The dataset on the right contains data about output variable. The two datasets has a common column that contains data of type string. I am trying to merge them into a single dataset, suign the common column, in H2O Flow. When I call the merge operation I get following error:
ERROR MESSAGE: DistributedException from /10.151.9.92:54321: 'Operation not allowed on string vector.'
H2O is running on my local machine.
This error indicates that the data type of the column you want to merge on is of type string. Merges are not allowed on columns of type string, so when you parse your datasets, set the data type of your merge column to enum. After that you should be able to do the merge.
Related
I am building a generic CSV output module with a variable number of columns. The DataFormat in BW (5.14) lets you define repeating item and thus offers a list of items that I could use to map data to in the RenderCSV step.
But when I run this with data for >> 1 column (and loopings) only one column is generated.
Is the feature broken or do I use it wrongly?
Alternatively I defined "enough" optional columns in the data format and map each field separately - no really generic solution.
Looks like In BW 5, when using Data Format and Parse Data to parse text, repeating elements isn’t supported.
Please see https://support.tibco.com/s/article/Tibco-KnowledgeArticle-Article-27133
The workaround is to use Data Format resource, Parse Data and Mapper
activities together. First use Data Format and Parse Data to parse the
text into the xml where every element represents one line of the text.
Then use Mapper activity and tib:tokenize-allow-empty XSLT function to
tokenize every line and get sub-elements for each field in the lines.
The link has also attached workaround implementation
I am trying to write the SQL task results in a flat file. I have a SQL task, followed by foreach loop that parses the object results to variables. Inside the foreach I have a data flow.
Inside the dataflow I have a Derived Column transformation editor, where I am trying to use the variables as columns. This is because I want to write the column in a flat file. However the Derived column keeps complaining about not having any INPUT columns (and writing 0 rows to flatfile) and I do not know why.
These are the instructions I am trying to follow: Using Variable as expression in Derived column transformation SSIS
Derived Column transformation is a part of Data Flow. Data Flow means that you have a set of rows with columns originated from some Data Flow Source, undergoing DFT transformations like Derived Column and then passing rows to Data Flow Destination. Data Flow Transformation needs to have input and output.
In your case - create a OLE DB Source with some dummy query like `select 0 as dummy' and direct this data flow to your Derived Column. Later you can drop this dummy column.
I'm trying to build a star schema in Oracle 12c. In my case my data source is not a relational database but a single excel/csv file which is populated via a google form, which means I don't have any sort of reference from a source system such as auto incremental keys/ids. Now what would be the best approach to build a star schema given this condition?
File row sample:
<submitted timestamp>,<submitted by user>,<region>,<country>,<branch>,<branch location>,<branch area>,<branch type>,<branch name>,<branch private? yes/no value>,<the following would be all "fact" values (measurements),...,...,...
In case i wanted to build a "branch" dimension, how would I handle updates/inserts after the first load into the dimension table?
Thought solution so far:
I had thought of making a concatenated string "key" with the branch values, which would make it unique (underscore would be the "glue" to concatenate the values), eg:
<region>_<country>_<branch>_<branch location> as branch_key
I would insert all the distinct branches into a staging table, including they branch_key column for each one of them, then when trying to load into the dimension I could compare which key does not exists yet in my dimension table and then insert it. As for updates, I'm a bit stuck on how to handle that, I had thought of having another file mapping which branches are active having a expiration date column. Basically trying to simulate what I could do having the data in a database instead of CSV files.
This is all I can think of so far, do you have any other recommendations/ideas on how to implement this? Take on consideration that the data source cannot as in I have to read these csv files, since data is not stored anywhere else.
Thank you.
I have a relation in Pig that looks like this:
([account_id#100,
timestamp#1434,
id#900],
[account_id#100,
timestamp#1434,
id#901],
[account_id#100,
timestamp#1434,
id#902])
As you can see, I have three map objects within a tuple. All of the data above is within the $0'th field in the relation. So the data above in a relation with a single bytearray column.
The data is loaded as follows:
data = load 's3://data/data' using com.twitter.elephantbird.pig.load.JsonLoader('-nestedLoad');
DESCRIBE data;
data: {bytearray}
How do I split this data structure into three rows so that the output is as follows?
data: {account_id:chararray, timestamp:chararray, id:int}
(100, 1434,900)
(100, 1434,901)
(100, 1434,902)
It is very difficult to guess your problem without having a sample input data. If this is an intermediate result, then write it out using a STORE and put the output file as something that we can input to try out. I was able to solve this using STRSPLIT but am not sure if you meant that the input is a single column and a single row or are these three different rows with the same column.
In either case, Flattening out the data using the FLATTEN operator and using STRSPLIT later should help. If I get more information and input data for the problem, I can give a working example.
Data -> FLATTEN to get out of bag -> STRSPLIT over "," in a FOREACH,GENERATE
I'm trying to get the following done: Using Altova Mapforce, I use an XML file with schema as a source. I want to map it to exactly the same output, but only add data to one field.
The value of the field (it's Tax) is determined using a two table SQL join with a WHERE clause over both tables. The tables are joined using foreign keys, the relation is recognized by Mapforce.
The first field of the WHERE clause comes from the first table (header type table), the second and third field from the second tables (lines type tables).
However, I cannot seem to create the logical and correct equivalent of what I am describing here. I've tried it using complex AND constructions where it then inserts the one field I would need multiple times. I've tried WHERE clauses but they fail as they never supply both tables at the same time and there seems to be no way to use a pre-specified JOINing of two tables as a source. The WHERE clause then recognizes only the fields from the first table, not the second one.
Is there an example for this? Joining two (or more) tables, using WHERE to determine the exact row, then using a value from that row?
Best wishes.