function where the input value yields itself as the keyspace id. However, one could also choose other algorithms like hashing or mod functions. Vitess supports the concept of a lookup vindex, or what is also parallel. The lists of query-parts generated by the shards are merged and returned to the caller. Two algorithms are supported: EQUAL_SPLITS If this algorithm is selected then only the first ‘split_column’ given know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

parallel. The lists of query-parts generated by the shards are merged and returned to the caller. Two algorithms are supported: EQUAL_SPLITS If this algorithm is selected then only the first ‘split_column’ given function where the input value yields itself as the keyspace id. However, one could also choose other algorithms like hashing or mod functions. A Lookup Vindex is usually backed by a lookup table. This is analogous know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

function where the input value yields itself as the keyspace id. However, one could also choose other algorithms like hashing or mod functions. Vitess supports the concept of a lookup vindex, or what is also know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

is the identity function where the input value yields itself as the keyspace id. However, other algorithms like a hashing function can also be used. A Lookup Vindex is implemented as a MySQL lookup table know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

is the identity function where the input value yields itself as the keyspace id. However, other algorithms like a hashing function can also be used. A Lookup Vindex is implemented as a MySQL lookup table know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

is the identity function where the input value yields itself as the keyspace id. However, other algorithms like a hashing function can also be used. A Lookup Vindex is implemented as a MySQL lookup table know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

is the identity function where the input value yields itself as the keyspace id. However, other algorithms like a hashing function can also be used. A Lookup Vindex is implemented as a MySQL lookup table know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that

is the identity function where the input value yields itself as the keyspace id. However, other algorithms like a hashing function can also be used. A Lookup Vindex is implemented as a MySQL lookup table know some things from the Vitess side, like the tablet aliases and whether semisync is enforced with async fallback disabled. We pass this information by telling Orchestrator to execute certain queries that