• batch_size and the frequency of calls to flush are directly related. batch_size specifies the number of items that should be stored in memory before they are written (flushed) to the database. A larger batch_size would result in fewer calls to flush, but would take up more memory. Therefore, a balance must be struck depending on the system’s resource constraints.

• The size of the embeddings processed by SymbolCodeEmbeddingHandler can vary depending on the architecture of the embedding model used. For example, typical configurations of Word2Vec or GloVe could result in 100, 200, or 300-dimentional embeddings, while BERT embeddings might be 768-dimensional or larger.

• The handling of symbols with no source code would depend on the implementation of SymbolCodeEmbeddingBuilder. A common approach might be to return a null or zero vector of the same size as other embeddings. The SymbolCodeEmbeddingHandler would probably handle such cases as it does most other embeddings, unless a special case has been defined.