if (subBuilder != null) { subBuilder.mergeFrom(structType_); structType_ = subBuilder.buildPartial();
if (subBuilder != null) { subBuilder.mergeFrom(rowType_); rowType_ = subBuilder.buildPartial();
/** * * * <pre> * If [code][google.spanner.v1.Type.code] == [STRUCT][google.spanner.v1.TypeCode.STRUCT], then `struct_type` * provides type information for the struct's fields. * </pre> * * <code>.google.spanner.v1.StructType struct_type = 3;</code> */ public Builder mergeStructType(com.google.spanner.v1.StructType value) { if (structTypeBuilder_ == null) { if (structType_ != null) { structType_ = com.google.spanner.v1.StructType.newBuilder(structType_) .mergeFrom(value) .buildPartial(); } else { structType_ = value; } onChanged(); } else { structTypeBuilder_.mergeFrom(value); } return this; } /**
/** * * * <pre> * Indicates the field names and types for the rows in the result * set. For example, a SQL query like `"SELECT UserId, UserName FROM * Users"` could return a `row_type` value like: * "fields": [ * { "name": "UserId", "type": { "code": "INT64" } }, * { "name": "UserName", "type": { "code": "STRING" } }, * ] * </pre> * * <code>.google.spanner.v1.StructType row_type = 1;</code> */ public Builder mergeRowType(com.google.spanner.v1.StructType value) { if (rowTypeBuilder_ == null) { if (rowType_ != null) { rowType_ = com.google.spanner.v1.StructType.newBuilder(rowType_).mergeFrom(value).buildPartial(); } else { rowType_ = value; } onChanged(); } else { rowTypeBuilder_.mergeFrom(value); } return this; } /**
@java.lang.Override public com.google.spanner.v1.StructType build() { com.google.spanner.v1.StructType result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; }