feat: Add compact, get_server_version and flush api

Signed-off-by: zhenshan.cao <[email protected]>

examples/milvus_client/compact.py

@@ -0,0 +1,83 @@
+import time
+import numpy as np
+from pymilvus import (
+    MilvusClient,
+)
+
+fmt = "\n=== {:30} ===\n"
+dim = 8
+collection_name = "hello_milvus"
+milvus_client = MilvusClient("http://localhost:19530")
+
+has_collection = milvus_client.has_collection(collection_name, timeout=5)
+if has_collection:
+    milvus_client.drop_collection(collection_name)
+milvus_client.create_collection(collection_name, dim, consistency_level="Strong", metric_type="L2")
+
+rng = np.random.default_rng(seed=19530)
+rows = [
+        {"id": 1, "vector": rng.random((1, dim))[0], "a": 100},
+        {"id": 2, "vector": rng.random((1, dim))[0], "b": 200},
+        {"id": 3, "vector": rng.random((1, dim))[0], "c": 300},
+        {"id": 4, "vector": rng.random((1, dim))[0], "d": 400},
+        {"id": 5, "vector": rng.random((1, dim))[0], "e": 500},
+        {"id": 6, "vector": rng.random((1, dim))[0], "f": 600},
+]
+
+print(fmt.format("Start inserting entities"))
+insert_result = milvus_client.insert(collection_name, rows)
+print(fmt.format("Inserting entities done"))
+print(insert_result)
+
+upsert_ret = milvus_client.upsert(collection_name, {"id": 2 , "vector": rng.random((1, dim))[0], "g": 100})
+print(upsert_ret)
+
+print(fmt.format("Start flush"))
+milvus_client.flush(collection_name)
+print(fmt.format("flush done"))
+
+result = milvus_client.query(collection_name, "", output_fields = ["count(*)"])
+print(f"final entities in {collection_name} is {result[0]['count(*)']}")
+
+rows = [
+        {"id": 7, "vector": rng.random((1, dim))[0], "g": 700},
+        {"id": 8, "vector": rng.random((1, dim))[0], "h": 800},
+        {"id": 9, "vector": rng.random((1, dim))[0], "i": 900},
+        {"id": 10, "vector": rng.random((1, dim))[0], "j": 1000},
+        {"id": 11, "vector": rng.random((1, dim))[0], "k": 1100},
+        {"id": 12, "vector": rng.random((1, dim))[0], "l": 1200},
+]
+
+print(fmt.format("Start inserting entities"))
+insert_result = milvus_client.insert(collection_name, rows)
+print(fmt.format("Inserting entities done"))
+print(insert_result)
+
+print(fmt.format("Start flush"))
+milvus_client.flush(collection_name)
+print(fmt.format("flush done"))
+
+result = milvus_client.query(collection_name, "", output_fields = ["count(*)"])
+print(f"final entities in {collection_name} is {result[0]['count(*)']}")
+
+print(fmt.format("Start compact"))
+job_id = milvus_client.compact(collection_name)
+print(f"job_id:{job_id}")
+
+cnt = 0
+state = milvus_client.get_compaction_state(job_id)
+while (state != "Completed" and cnt < 10):
+    time.sleep(1.0)
+    state = milvus_client.get_compaction_state(job_id) 
+    print(f"compaction state: {state}")
+    cnt += 1
+
+if state == "Completed":
+    print(fmt.format("compact done"))
+else:
+    print(fmt.format("compact timeout"))
+
+result = milvus_client.query(collection_name, "", output_fields = ["count(*)"])
+print(f"final entities in {collection_name} is {result[0]['count(*)']}")
+
+milvus_client.drop_collection(collection_name)

examples/milvus_client/flush.py

@@ -0,0 +1,57 @@
+import time
+import numpy as np
+from pymilvus import (
+    MilvusClient,
+)
+
+fmt = "\n=== {:30} ===\n"
+dim = 8
+collection_name = "hello_milvus"
+milvus_client = MilvusClient("http://localhost:19530")
+
+has_collection = milvus_client.has_collection(collection_name, timeout=5)
+if has_collection:
+    milvus_client.drop_collection(collection_name)
+milvus_client.create_collection(collection_name, dim, consistency_level="Strong", metric_type="L2")
+
+rng = np.random.default_rng(seed=19530)
+rows = [
+        {"id": 1, "vector": rng.random((1, dim))[0], "a": 100},
+        {"id": 2, "vector": rng.random((1, dim))[0], "b": 200},
+        {"id": 3, "vector": rng.random((1, dim))[0], "c": 300},
+        {"id": 4, "vector": rng.random((1, dim))[0], "d": 400},
+        {"id": 5, "vector": rng.random((1, dim))[0], "e": 500},
+        {"id": 6, "vector": rng.random((1, dim))[0], "f": 600},
+]
+
+print(fmt.format("Start inserting entities"))
+insert_result = milvus_client.insert(collection_name, rows)
+print(fmt.format("Inserting entities done"))
+print(insert_result)
+
+upsert_ret = milvus_client.upsert(collection_name, {"id": 2 , "vector": rng.random((1, dim))[0], "g": 100})
+print(upsert_ret)
+
+print(fmt.format("Start flush"))
+milvus_client.flush(collection_name)
+print(fmt.format("flush done"))
+
+
+result = milvus_client.query(collection_name, "", output_fields = ["count(*)"])
+print(f"final entities in {collection_name} is {result[0]['count(*)']}")
+
+
+print(f"start to delete by specifying filter in collection {collection_name}")
+delete_result = milvus_client.delete(collection_name, ids=[6])
+print(delete_result)
+
+
+print(fmt.format("Start flush"))
+milvus_client.flush(collection_name)
+print(fmt.format("flush done"))
+
+
+result = milvus_client.query(collection_name, "", output_fields = ["count(*)"])
+print(f"final entities in {collection_name} is {result[0]['count(*)']}")
+
+milvus_client.drop_collection(collection_name)

examples/milvus_client/get_server_version.py

@@ -0,0 +1,13 @@
+import time
+import numpy as np
+from pymilvus import (
+    MilvusClient,
+)
+
+fmt = "\n=== {:30} ===\n"
+dim = 8
+collection_name = "hello_milvus"
+milvus_client = MilvusClient("http://localhost:19530")
+
+version = milvus_client.get_server_version()
+print(f"server version: {version}")

pymilvus/client/types.py

@@ -249,6 +249,10 @@ def __init__(
         self.in_timeout = in_timeout
         self.completed = completed
 
+    @property
+    def state_name(self):
+        return self.state.name
+
     def __repr__(self) -> str:
         return f"""
 CompactionState

pymilvus/milvus_client/milvus_client.py

@@ -1059,3 +1059,95 @@ def drop_database(self, db_name: str, **kwargs):
     def list_databases(self, **kwargs) -> List[str]:
         conn = self._get_connection()
         return conn.list_database(**kwargs)
+
+    def flush(
+        self,
+        collection_name: str,
+        timeout: Optional[float] = None,
+        **kwargs,
+    ):
+        """Seal all segments in the collection. Inserts after flushing will be written into
+            new segments.
+
+        Args:
+            collection_name(``string``): The name of collection.
+            timeout (float): an optional duration of time in seconds to allow for the RPCs.
+                If timeout is not set, the client keeps waiting until the server
+                responds or an error occurs.
+
+        Raises:
+            MilvusException: If anything goes wrong.
+        """
+        conn = self._get_connection()
+        conn.flush([collection_name], timeout=timeout, **kwargs)
+
+    def compact(
+        self,
+        collection_name: str,
+        is_clustering: Optional[bool] = False,
+        timeout: Optional[float] = None,
+        **kwargs,
+    ) -> int:
+        """Compact merge the small segments in a collection
+
+        Args:
+            timeout (``float``, optional): An optional duration of time in seconds to allow
+                for the RPC. When timeout is set to None, client waits until server response
+                or error occur.
+
+            is_clustering (``bool``, optional): Option to trigger clustering compaction.
+
+        Raises:
+            MilvusException: If anything goes wrong.
+
+        Returns:
+            int: An integer represents the server's compaction job. You can use this job ID
+            for subsequent state inquiries.
+        """
+        conn = self._get_connection()
+        return conn.compact(collection_name, is_clustering=is_clustering, timeout=timeout, **kwargs)
+
+    def get_compaction_state(
+        self,
+        job_id: int,
+        timeout: Optional[float] = None,
+        **kwargs,
+    ) -> str:
+        """Get the state of compaction job
+
+        Args:
+            timeout (``float``, optional): An optional duration of time in seconds to allow
+                for the RPC. When timeout is set to None, client waits until server response
+                or error occur.
+
+        Raises:
+            MilvusException: If anything goes wrong.
+
+        Returns:
+            str: the state of this compaction job. Possible values are "UndefiedState", "Executing"
+            and "Completed".
+        """
+        conn = self._get_connection()
+        result = conn.get_compaction_state(job_id, timeout=timeout, **kwargs)
+        return result.state_name
+
+    def get_server_version(
+        self,
+        timeout: Optional[float] = None,
+        **kwargs,
+    ) -> str:
+        """Get the running server's version
+
+        Args:
+            timeout (``float``, optional): A duration of time in seconds to allow for the RPC.
+                If timeout is set to None, the client keeps waiting until the server
+                responds or an error occurs.
+
+        Returns:
+            str: A string represent the server's version.
+
+        Raises:
+            MilvusException: If anything goes wrong
+        """
+        conn = self._get_connection()
+        return conn.get_server_version(timeout=timeout, **kwargs)