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Databases & messaging · #neo4j
Learn how to paginate deep Neo4j graph traversals with APOC’s path expansion and LIMIT/SKIP to keep latency predictable and avoid out‑of‑memory errors.
A diagnostic guide for self-managed Neo4j causal clusters experiencing intermittent read latency spikes caused by page cache pressure and OS page faults.
Learn how to speed up Neo4j bulk imports by batching Cypher statements in explicit transactions, with a worked example and trade‑offs.
SKIP/LIMIT pagination slows linearly in Neo4j. Use cursor pagination on an indexed, monotonic property and let index-free adjacency handle relationship hops for stable page latency.
Node Key constraints in Neo4j Enterprise enforce existence and uniqueness of property combinations and create a backing index for lookups, reducing reliance on application-level checks.
Neo4j's native full-text indexes turn O(N) property scans into sub-millisecond lookups for text predicates. This post covers creation, query patterns, a concrete benchmark, and the trade-offs (eventual consistency, storage growth) that determine when to stay native vs. offload to Elasticsearch.
SKIP/LIMIT forces Neo4j to scan and discard every preceding row on deep pages. Keyset pagination with an indexed anchor and a compound cursor keeps page cost constant — here's how to choose, implement, and validate it.
A decision guide for choosing between Neo4j's native Lucene-based indexes and Elasticsearch integration based on latency, consistency, and scale.
Stop slowing down your Neo4j ingest with individual MERGE statements. Learn how to use UNWIND and parameterized batches to increase throughput and reduce network overhead.
elasticsearch