When it's time to go out, don't let low battery slow you down. Stay charged up and ready to bring your A-game with #UGREEN# MagFlow Bring your A-game with the New England Patriots and UGREEN: #UGREENxPatriots# #NewEnglandPatriots# #Patriots# #PatsNation# #NFL#

POV: You’re training under the sun like a Patriot. 🏈 That heat is no joke — even our #UGREEN# UNO charger couldn’t escape it. Stay powered. Bring your A-Game: #UGREENxPatriots# #BringYourAGame# #NewEnglandPatriots# #Patriots# #PatsNation# #NFL# #GameDay#

Upcoming /status pagination change on the Bridge API On August 12 2:00 PM UTC, GET /status/{address} will begin returning paginated results, with up to 50 transactions by default (newest first) Responses will include nextCursor. To retrieve all transactions, pass it back as ?cursor= until it returns null. The supported limit range will be 1–100

INVALID_CLIENT?! Two devs are stuck on OAuth2 errors and broken pagination. The other uses Snowflake CoCo. One prompt to get the integration built, auth handled, and schema mapped. Catch episode 3 of Ready, Set Code! 👇

# Weaviate Features and Practical Usage 🚀 Need to pull every object, vectors included, for a migration or audit export? Stop fighting deep pagination. Weaviate's Cursor API walks the entire collection in order with no offset limit. 📌 Title and Feature URL Title: Read all objects URL: 📝 Overview Weaviate's iterator() method traverses an entire collection efficiently while avoiding the performance penalties of traditional offset-based pagination. Internally it uses a cursor based on the after operator, sidestepping the deep pagination problem. For any full-collection processing, using the cursor is the rule. 🔧 How It Works - limit/offset deep pagination slows down dramatically as the number of skipped records grows, which becomes critical at scale. - The cursor uses an after parameter to continue from where it left off, avoiding that slowdown. - The Python client wraps this as an Iterator, so a simple for loop walks all objects. - By default it returns all properties and UUIDs, excluding blob and reference properties. - Result ordering is not guaranteed; this is a mechanism for systematic full-collection access. 🛠 Practical Usage - Basic form: collection = client.collections.use("WineReview"), then for item in collection.iterator(): to walk every object, reading item.uuid and - To include vectors: for item in collection.iterator(include_vector=True): and read item.vector. - For named vectors, pass include_vector=['title', 'body'] or True for all vectors. - For multi-tenant collections, iterate per tenant with with_tenant(tenant_name).iterator(); get the tenant list via tenants.get(). 🎯 Use Cases - Migrate to another cluster by pulling vectors and properties together, then writing them back. - Export an entire collection for audit and compliance. - Access all objects sequentially for reindexing or batch processing. - In multi-tenant setups, walk each tenant's full set for inventory/reconciliation. ⚠️ Caveats - Result ordering is not guaranteed; do not build order-dependent logic on it. - The cursor is built for systematic full-collection access, not random queries. - include_vector=True increases data transfer for the vectors; enable it only when needed. - You cannot iterate all tenants at once; run the iterator per tenant in multi-tenant collections. #Weaviate# #VectorDatabase#