We can also match at multiple places in a type hierarchy. For example, if we want to find theActorRoleby actor id and movie title, we can use the following: MovieAPIHashIndexidx=newMovieAPIHashIndex("Movie","cast.element","cast.element.actor.actorId","title.value");StringknownMovieTitle...
and cache a POJO implementation for each ordinal, which can be used by consumers in tight inner loops. This is accomplished by simply passing aSet<String>as the second constructor argument when instantiating a custom-generated Hollow API. The elements in the Set should be the types to cache. ...
The above formula checks if the value in column B is equal to the values in column C, row by row. If the condition is true, we will get the “Paid” text string and if the condition is false, we will get nothing (empty string). For Difference Only: To find cells with different v...
Then, select the range of cells or select any cell in that range that contains the values from which you want to remove duplicates, go to the ‘Data’ tab and select the ‘Remove Duplicates’ button in the Data Tools group. In the Remove Duplicates dialog box, select the column(s) from...
publicclassMovie{longid;Stringtitle;intreleaseYear;publicMovie(longid,Stringtitle,intreleaseYear){this.id=id;this.title=title;this.releaseYear=releaseYear;}} In order to create a new data state and write it to disk, we can use aHollowWriteStateEnginedirectly: ...
For instance, you have a data set as shown below where you want to find out the total sales of ‘Oranges’. To sum the total sales of Oranges, use the below formula: =SUMPRODUCT(--(A2:A9="Oranges"),C2:C9) In the above formula,A2:A9="Oranges"returns an array of logical values: ...