bulkwriter sample read csv #1673
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Signed-off-by: yhmo <[email protected]>
yiwen92
reviewed
Sep 11, 2023
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| fields = [ | ||
| FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True), | ||
| FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512), |
yiwen92
reviewed
Sep 11, 2023
| with LocalBulkWriter( | ||
| schema=schema, | ||
| local_path="/tmp/bulk_writer", | ||
| segment_size=4*1024*1024, |
yiwen92
reviewed
Sep 11, 2023
| local_path="/tmp/bulk_writer", | ||
| segment_size=4*1024*1024, | ||
| ) as local_writer: | ||
| read_sample_data("./data/train_embeddings.csv", local_writer) |
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Is it possible that csv is too big(100 GB) that cannot load into the processing?
yiwen92
reviewed
Sep 11, 2023
| threads = [] | ||
| thread_count = 100 | ||
| rows_per_thread = 1000 | ||
| rows_per_thread = 100 |
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/lgtm |
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/approve |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: xiaofan-luan, XuanYang-cn, yhmo The full list of commands accepted by this bot can be found here. The pull request process is described here
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qixuan0212
reviewed
Sep 12, 2023
| @@ -161,11 +307,11 @@ def test_cloud_bulkinsert(): | |||
| access_key=object_url_access_key, | |||
| secret_key=object_url_secret_key, | |||
| cluster_id=cluster_id, | |||
| collection_name=COLLECTION_NAME, | |||
| collection_name=CSV_COLLECTION_NAME, | |||
| ) | ||
| print(resp) | ||
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| print(f"===================== get import job progress ====================") | ||
| print(f"\n===================== get import job progress ====================") | ||
| job_id = resp['data']['jobId'] |
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json.loads(resp.text)['data']['jobId']
| ) | ||
| print(resp) | ||
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| print(f"===================== get import job progress ====================") | ||
| print(f"\n===================== get import job progress ====================") | ||
| job_id = resp['data']['jobId'] | ||
| resp = get_import_progress( |
| @@ -174,7 +320,7 @@ def test_cloud_bulkinsert(): | |||
| ) | |||
| print(resp) | |||
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| print(f"===================== list import jobs ====================") | |||
| print(f"\n===================== list import jobs ====================") | |||
| resp = list_import_jobs( | |||
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