Parse views and materialized views from Hive

metaphor/hive/extractor.py

@@ -31,7 +31,7 @@
 
     @staticmethod
     def from_config_file(config_file: str) -> "HiveExtractor":
         return HiveExtractor(HiveRunConfig.from_yaml_file(config_file))
 
     def __init__(self, config: HiveRunConfig) -> None:
         super().__init__(config)
@@ -92,12 +92,28 @@
         with self._connection.cursor() as cursor:
             datasets = []
             cursor.execute(f"show tables in {database}")
-            for table in HiveExtractor.extract_names_from_cursor(cursor):
+            for materialized_view in HiveExtractor.extract_names_from_cursor(cursor):
                 datasets.append(
-                    self._extract_table(database, table, MaterializationType.TABLE)
+                    self._extract_table(
+                        database, materialized_view, MaterializationType.TABLE
+                    )
+                )
+
+            cursor.execute(f"show views in {database}")
+            for view in HiveExtractor.extract_names_from_cursor(cursor):
+                datasets.append(
+                    self._extract_table(database, view, MaterializationType.VIEW)
                 )
 
-            # TODO: materialized view, view
+            cursor.execute(f"show materialized views in {database}")
+            for materialized_view in HiveExtractor.extract_names_from_cursor(cursor):
+                datasets.append(
+                    self._extract_table(
+                        database,
+                        materialized_view,
+                        MaterializationType.MATERIALIZED_VIEW,
+                    )
+                )
 
             return datasets
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "metaphor-connectors"
-version = "0.13.99"
+version = "0.13.100"
 license = "Apache-2.0"
 description = "A collection of Python-based 'connectors' that extract metadata from various sources to ingest into the Metaphor app."
 authors = ["Metaphor <[email protected]>"]

tests/hive/data/init.sql

@@ -0,0 +1,132 @@
+-- starship.sql
+
+-- 10 torpedos carried by every ship
+-- 10 types of ships
+-- 10 admiral has 1 from each ship_type
+
+drop table if exists admirals;
+drop table if exists ship_types;
+drop table if exists ships;
+drop table if exists torpedos;
+
+create table ships (id integer,ship_type_id integer,crew_size integer);
+create table ship_types (id integer,type_name string);
+insert into ship_types values
+    (1,'galaxy class'),
+    (2,'nebula class'),
+    (3,'orion class'),
+    (4,'first class'),
+    (5,'last pass'),
+    (6,'last pass'),
+    (7,'akira class'),
+    (8,'aeon type'),
+    (9,'antares type'),
+    (10,'apollo class')
+    ;
+
+create table admirals as
+    select id from ship_types;
+
+create table torpedos (id integer,ship_id integer,admiral_id integer);
+
+insert into ships
+select row_number() over (),t.id,row_number() over (partition by t.id) from ship_types t join ship_types t2;
+
+insert into torpedos
+select row_number() over (),s.id,row_number() over (partition by s.id) from ships s join ship_types t2;
+
+-- grouplens
+
+drop table if exists u_data;
+drop view if exists ok_movies;
+
+CREATE TABLE u_data (
+  userid INT,
+  movieid INT,
+  rating INT,
+  unixtime STRING)
+ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '\t'
+STORED AS TEXTFILE;
+
+LOAD DATA LOCAL INPATH 'examples/files/u.data'
+OVERWRITE INTO TABLE u_data;
+
+create view ok_movies as
+select * from u_data
+where rating >= 2 and rating <=4;
+
+--
+-- Materialized views
+--
+
+drop table if exists emps;
+drop table if exists depts;
+
+-- These are needed for transactional tables to work
+
+SET hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
+SET hive.support.concurrency=true;
+SET hive.enforce.bucketing=true;
+SET hive.exec.dynamic.partition.mode=nonstrict;
+SET hive.compactor.initiator.on=true;
+SET hive.compactor.worker.threads=1;
+
+CREATE TABLE emps (
+  empid INT,
+  deptno INT,
+  name VARCHAR(256),
+  salary FLOAT,
+  hire_date TIMESTAMP)
+STORED AS ORC
+TBLPROPERTIES ('transactional'='true');
+
+CREATE TABLE depts (
+  deptno INT,
+  deptname VARCHAR(256),
+  locationid INT)
+STORED AS ORC
+TBLPROPERTIES ('transactional'='true');
+
+insert into emps values
+    (101, 201, 'Alice Johnson', 55000.0, '2022-04-15'),
+    (102, 203, 'Bob Smith', 60000.0, '2023-01-22'),
+    (103, 205, 'Claire Brown', 50000.0, '2022-09-10'),
+    (104, 204, 'David Wilson', 65000.0, '2023-03-05'),
+    (105, 202, 'Emily Davis', 58000.0, '2022-11-30'),
+    (106, 201, 'Frank Miller', 52000.0, '2023-06-18'),
+    (107, 205, 'Grace Thompson', 62000.0, '2022-08-07'),
+    (108, 203, 'Henry Garcia', 59000.0, '2023-04-25'),
+    (109, 202, 'Isabel Martinez', 61000.0, '2022-02-14'),
+    (110, 204, 'Jackie Clark', 63000.0, '2023-09-01'),
+    (111, 201, 'Kevin Adams', 54000.0, '2022-05-20'),
+    (112, 205, 'Lily Hall', 58000.0, '2023-10-12'),
+    (113, 203, 'Mike Lee', 56000.0, '2022-07-03'),
+    (114, 204, 'Nancy Baker', 60000.0, '2023-02-28'),
+    (115, 202, 'Olivia White', 57000.0, '2022-12-17'),
+    (116, 201, 'Peter Young', 54000.0, '2023-08-14'),
+    (117, 203, 'Quinn Taylor', 59000.0, '2023-06-22'),
+    (118, 205, 'Rachel Martinez', 61000.0, '2022-03-18'),
+    (119, 202, 'Samuel Brown', 63000.0, '2023-01-05'),
+    (120, 204, 'Tina Johnson', 55000.0, '2022-09-30'),
+    (121, 201, 'Ulysses Clark', 57000.0, '2023-11-25'),
+    (122, 205, 'Victoria White', 54000.0, '2022-07-12'),
+    (123, 203, 'Wendy Garcia', 58000.0, '2023-04-02'),
+    (124, 204, 'Xavier Lee', 59000.0, '2022-12-19'),
+    (125, 202, 'Yvonne Adams', 60000.0, '2023-08-28')
+    ;
+
+insert into depts values
+    (201, 'Marketing', 501),
+    (202, 'Engineering', 502),
+    (203, 'Finance', 503),
+    (204, 'Human Resources', 504),
+    (205, 'Sales', 505)
+    ;
+
+CREATE MATERIALIZED VIEW mv1
+AS
+SELECT empid, deptname, hire_date
+FROM emps JOIN depts
+  ON (emps.deptno = depts.deptno)
+WHERE hire_date >= '2023-01-01';