update some old join docs

Author: drizk1

docs/examples/UserGuide/ex_joining.jl

@@ -6,22 +6,22 @@
 
 # ## Equi Joins
 # Equi joins can be written in any of the following ways, and the key column will be dropped from the right hand (new) table to avoid duplication.
-#   - `@left_join(t(table), "table2", key_col)`
-#   - `@left_join(t(table), "table2", key_col = key_col2)`
+#   - `@left_join(table, "table2", key_col)`
+#   - `@left_join(table, "table2", key_col = key_col2)`
 #  To join mutliple columns, separate the different pairs with a `,`
-#   - `@left_join(t(table), "table2", key_col == key_col2, key2 == key2)`
+#   - `@left_join(table, "table2", key_col == key_col2, key2 == key2)`
 
 # ## Inequality Joins
 # Inequality joins or non-equi-joins use the same syntax, just with a inequality operators
-#   - `@left_join(t(table), "table2", key_col >= key_col2, key2 < key2)`
+#   - `@left_join(table, "table2", key_col >= key_col2, key2 < key2)`
 
 # ## AsOf
 # To use an AsOf or rolling join, simply wrap the inequality in `closest. Of note, at this time, only one inequality can be supported at a time with AsOf joins
-#   - `@left_join(t(table), "table2", closest(key_col >= key_col2), key2 == key2)`
+#   - `@left_join(table, "table2", closest(key_col >= key_col2), key2 == key2)`
 
 # When the joining table is already availabe on the database, a string of the table name used as shown above. 
 # However, the joining table can also be a TidierDB query, in which case, the query is written as follows
-#   - `@left_join(t(table),query, key)`
+#   - `@left_join(table,query, key)`
 
 # ## Examples
 # Examples below will cover how to join tables with different schemas in different databases, 

src/docstrings.jl

@@ -882,7 +882,7 @@ julia> query = @chain dt(db, "df_join") begin
                 end;
 
 julia> @chain dfm begin
-         @left_join(t(query), id == id2)
+         @left_join(query, id == id2)
          @collect
        end
 10×6 DataFrame
@@ -902,14 +902,14 @@ julia> @chain dfm begin
 
 julia>  @chain dfm begin
          @mutate(test = percent * 100)
-         @left_join(t(dfj), test <= score, id = id2)
+         @left_join(dfj, test <= score, id = id2)
          @collect
        end;
 
 
 julia>  @chain dfm begin
          @mutate(test = percent * 200)
-         @left_join(t(dfj), closest(test >= score)) # asof join
+         @left_join(dfj, closest(test >= score)) # asof join
          @collect
        end;
 ```
@@ -949,7 +949,7 @@ julia> db = connect(duckdb());
 julia> dfj = dt(db, df2, "df_join");
 
 julia> @chain dt(db, df, "df_view") begin
-         @right_join(t(dfj), id == id2)
+         @right_join(dfj, id == id2)
          @arrange(score)
          @collect
        end
@@ -970,7 +970,7 @@ julia> query = @chain dfj begin
                 end;
 
 julia> @chain dt(db, df, "df_view") begin
-         @right_join(t(query), id == id2)
+         @right_join(query, id == id2)
          @collect
        end
 6×6 DataFrame
@@ -1019,7 +1019,7 @@ julia> db = connect(duckdb());
 julia> dfj = dt(db, df2, "df_join");
 
 julia> @chain dt(db, df, "df_view") begin
-         @inner_join(t(dfj), id == id2)
+         @inner_join(dfj, id == id2)
          @collect
        end
 5×6 DataFrame
@@ -1120,7 +1120,7 @@ julia> db = connect(duckdb());
 julia> dfj = dt(db, df2, "df_join");
 
 julia> @chain dt(db, df, "df_view") begin
-         @semi_join(t(dfj), id == id2)
+         @semi_join(dfj, id == id2)
          @collect
        end
 5×4 DataFrame
@@ -1168,7 +1168,7 @@ julia> db = connect(duckdb());
 julia> dfj = dt(db, df2, "df_join");
 
 julia> @chain dt(db, df, "df_view") begin
-        @anti_join(t(dfj), id == id2)
+        @anti_join(dfj, id == id2)
         @collect
        end
 5×4 DataFrame